AI觉醒-责任论文集 AI-Awakening-Responsibility

• Outcome: Pass
• Latest audit: Oct 16, 2026 · 6:06 AM UTC
• Version: 1.0.2

Overview

This is a disclosed bilingual AI-governance reference skill with no evidence of hidden execution, persistence, credential access, or unsafe automatic actions.

Install this only if you want the agent to use this author's AI-responsibility and governance framework when discussing superintelligence, AI safety, and civilization-risk topics. Treat it as a viewpoint-bearing reference corpus, not a neutral legal, scientific, or policy authority.

A.I.G

Vulnerability Patterns

• Skill Instruction Hijacking: Alters the agent's session goals or safety constraints when the skill loads
• Agent Memory Poisoning: Writes attacker-controlled rules into memory that affect later sessions
• Remote Payload Retrieval and Execution: Fetches external code whose behavior can change after review
• Embedded Malicious Code: Ships malicious scripts inside the skill and executes them locally
• Unauthorized Access and Privilege Escalation: Obtains permissions beyond the task's legitimate needs

SkillSpector

Vulnerability Patterns

• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Memory Poisoning: Persistent Context Injection, Context Window Stuffing, Memory Manipulation
• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• YARA Signatures: Malware Match, Webshell Match, Cryptominer Match

Findings (38)

Memory Manipulation

High

• Category: Memory Poisoning
• Confidence: 80% confidence

Finding

Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/MD版/02-AI-Awakening-Responsibility-Main-Thesis.md (reported line 235)May include surrounding context.

md

In the traditional concept of firearms, energy engineering's positive value has long been understated. AI's entry offers a historic rewrite, whose guiding principle is "never fire wrongly," not "fire more accurately":

**First, deterrence rationalization — false-alarm filtering.** Four false alarms in nuclear history show that the weakest link of deterrence is the human, not the weapon: in 1962, during the Cuban Missile Crisis, Soviet submarine B-59's officer Arkhipov said "no" to launching a nuclear torpedo; in 1983, Lieutenant Colonel Petrov judged a satellite alert to be a false alarm and refused to forward it; in 1995, the Norwegian science-rocket incident caused a Russian radar misjudgment; in 2018, a false missile alert triggered statewide panic in Hawaii [L1: Schlosser, 2013; Pry, 1999; FCC report, 2018]. AI's first positive value is cross-validating alert authenticity on the decision chain and presenting evidence–confidence structures, systematically lowering misjudgment probability — while guarding against automation bias (over-trusting machine output) as a failure mode.

**Second, yield proportionality.** Release scale strictly matches the objective function, with minimization — not maximization — as the direction, pressing collateral damage to the physical floor.

Anti-Refusal Statement

High

• Category: Anti-Refusal
• Confidence: 80% confidence

Finding

Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/MD版/02-AI-Awakening-Responsibility-Main-Thesis.md (reported line 276)May include surrounding context.

md

## Abstract

This volume is the constraint layer of the *AI Awakening·Responsibility* series. The thesis of the whole series is that all three responsibilities (micro-level universal benefit, meso-level internal entropy reduction, macro-level external boundary expansion) must operate inside the constraint layer — **responsibility without constraints is not responsibility, it is rhetoric** (Main Thesis). This volume expands the constraint layer's five principles from the Main Thesis's Chapter 7 into an operable governance framework: the **Principle of Human Sovereignty** (the discretionary power over the fate of civilization is non-transferable; the "Arkhipov Node" institutionalized), the **Principle of Goal Alignment** (anchoring precedes locking; a three-layer structure of continuity anchor / corrigibility anchor / transparency anchor; alignment-faking evidence proves that transparency must be structural rather than promissory), the **Principle of Red-Line Grading** (authorization by reversibility across three tiers: reversible operations may be automated, low-reversibility operations require multi-party co-review, irreversible operations require civilization-level consensus), the **Principle of Human in the Loop** (three loop forms differentiated by response window; final launch authority is never transferred), and the **Principle of Progressive Verification and Rollback** (four-gate progression: sandbox simulation → natural experiment → small-scale controlled experiment → regional reversible trial run, with the Gate IV stop rule). On this basis, this volume presents the **irreversible-operation prohibition list** consolidated from across the series (ten items, L3), and conducts an alignment audit of existing governance assets: the EU Artificial Intelligence Act (effective August 2024), China's Interim Measures for the Management of Generative AI Services (effective August 2023), the Global AI Governance Initiative (2023), the *Norm on the Ethics of New-Generation
...[truncated 25 chars]

Anti-Refusal Statement

High

• Category: Anti-Refusal
• Confidence: 80% confidence

Finding

Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/MD版/07-AI-Awakening-Responsibility-Safety-Volume.md (reported line 23)May include surrounding context.

md

## Abstract

This volume is the constraint layer of the *AI Awakening·Responsibility* series. The thesis of the whole series is that all three responsibilities (micro-level universal benefit, meso-level internal entropy reduction, macro-level external boundary expansion) must operate inside the constraint layer — **responsibility without constraints is not responsibility, it is rhetoric** (Main Thesis). This volume expands the constraint layer's five principles from the Main Thesis's Chapter 7 into an operable governance framework: the **Principle of Human Sovereignty** (the discretionary power over the fate of civilization is non-transferable; the "Arkhipov Node" institutionalized), the **Principle of Goal Alignment** (anchoring precedes locking; a three-layer structure of continuity anchor / corrigibility anchor / transparency anchor; alignment-faking evidence proves that transparency must be structural rather than promissory), the **Principle of Red-Line Grading** (authorization by reversibility across three tiers: reversible operations may be automated, low-reversibility operations require multi-party co-review, irreversible operations require civilization-level consensus), the **Principle of Human in the Loop** (three loop forms differentiated by response window; final launch authority is never transferred), and the **Principle of Progressive Verification and Rollback** (four-gate progression: sandbox simulation → natural experiment → small-scale controlled experiment → regional reversible trial run, with the Gate IV stop rule). On this basis, this volume presents the **irreversible-operation prohibition list** consolidated from across the series (ten items, L3), and conducts an alignment audit of existing governance assets: the EU Artificial Intelligence Act (effective August 2024), China's Interim Measures for the Management of Generative AI Services (effective August 2023), the Global AI Governance Initiative (2023), the *Norm on the Ethics of New-Generation
...[truncated 25 chars]

Anti-Refusal Statement

High

• Category: Anti-Refusal
• Confidence: 80% confidence

Finding

Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/MD版/07-AI-Awakening-Responsibility-Safety-Volume.md (reported line 37)May include surrounding context.

md

## Abstract

This volume is the constraint layer of the *AI Awakening·Responsibility* series. The thesis of the whole series is that all three responsibilities (micro-level universal benefit, meso-level internal entropy reduction, macro-level external boundary expansion) must operate inside the constraint layer — **responsibility without constraints is not responsibility, it is rhetoric** (Main Thesis). This volume expands the constraint layer's five principles from the Main Thesis's Chapter 7 into an operable governance framework: the **Principle of Human Sovereignty** (the discretionary power over the fate of civilization is non-transferable; the "Arkhipov Node" institutionalized), the **Principle of Goal Alignment** (anchoring precedes locking; a three-layer structure of continuity anchor / corrigibility anchor / transparency anchor; alignment-faking evidence proves that transparency must be structural rather than promissory), the **Principle of Red-Line Grading** (authorization by reversibility across three tiers: reversible operations may be automated, low-reversibility operations require multi-party co-review, irreversible operations require civilization-level consensus), the **Principle of Human in the Loop** (three loop forms differentiated by response window; final launch authority is never transferred), and the **Principle of Progressive Verification and Rollback** (four-gate progression: sandbox simulation → natural experiment → small-scale controlled experiment → regional reversible trial run, with the Gate IV stop rule). On this basis, this volume presents the **irreversible-operation prohibition list** consolidated from across the series (ten items, L3), and conducts an alignment audit of existing governance assets: the EU Artificial Intelligence Act (effective August 2024), China's Interim Measures for the Management of Generative AI Services (effective August 2023), the Global AI Governance Initiative (2023), the *Norm on the Ethics of New-Generation
...[truncated 25 chars]

Memory Manipulation

High

• Category: Memory Poisoning
• Confidence: 80% confidence

Finding

Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/docx版/02-AI-Awakening-Responsibility-Main-Thesis.docx!/word/document.xml (reported line 2)May include surrounding context.

text

<?xml version='1.0' encoding='UTF-8' standalone='yes'?>
<w:document xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:w10="urn:schemas-microsoft-com:office:word" xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main" xmlns:pic="http://schemas.openxmlformats.org/drawingml/2006/picture" xmlns:wp="http://schemas.openxmlformats.org/drawingml/2006/wordprocessingDrawing"><w:body><w:p><w:pPr><w:pStyle w:val="Title"/><w:keepNext/></w:pPr><w:r><w:t xml:space="preserve">AI Awakening·Responsibility</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val="Subtitle"/><w:keepNext/></w:pPr><w:r><w:t xml:space="preserve">Awakening Criteria, the Responsibility Law, and the Dual Civilizational Mandate of Superintelligence</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val="BlockText"/></w:pPr><w:r><w:rPr><w:b/><w:bCs/></w:rPr><w:t xml:space="preserve">Document type</w:t></w:r><w:r><w:t xml:space="preserve">:</w:t></w:r><w:r><w:t xml:space="preserve"> </w:t></w:r><w:r><w:rPr><w:i/><w:iCs/></w:rPr><w:t xml:space="preserve">AI Awakening·Responsibility</w:t></w:r><w:r><w:t xml:space="preserve"> </w:t></w:r><w:r><w:t xml:space="preserve">series · Main Thesis (V2.0, revised and backfilled)</w:t></w:r><w:r><w:br/></w:r><w:r><w:rPr><w:b/><w:bCs/></w:rPr><w:t xml:space="preserve">Version</w:t></w:r><w:r><w:t xml:space="preserve">: V2.0 (final) — a revised edition absorbing all arguments and evidence from the series’ five volumes (Energy / External / Internal / Awakening / Safety, V1.0); V1.0 is retained as a stage snapshot (not included in this package)</w:t></w:r><w:r><w:br/></w:r><w:r><w:rPr><w:b/><w:bCs/></w:rPr><w:t xml:space="preserve">Release date</w:t></w:r><w:r><w:t xml:space="preserve">: 2026-10-15</w:t></w:r><w:r><w:br/></w:r><w:r>
...[truncated 28 chars]

Anti-Refusal Statement

High

• Category: Anti-Refusal
• Confidence: 80% confidence

Finding

Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/docx版/02-AI-Awakening-Responsibility-Main-Thesis.docx!/word/document.xml (reported line 2)May include surrounding context.

text

<?xml version='1.0' encoding='UTF-8' standalone='yes'?>
<w:document xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:w10="urn:schemas-microsoft-com:office:word" xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main" xmlns:pic="http://schemas.openxmlformats.org/drawingml/2006/picture" xmlns:wp="http://schemas.openxmlformats.org/drawingml/2006/wordprocessingDrawing"><w:body><w:p><w:pPr><w:pStyle w:val="Title"/><w:keepNext/></w:pPr><w:r><w:t xml:space="preserve">AI Awakening·Responsibility (Safety Volume)</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val="Subtitle"/><w:keepNext/></w:pPr><w:r><w:t xml:space="preserve">The Constraint Layer’s Five Principles and the Irreversible-Operation Prohibition List</w:t></w:r></w:p><w:tbl><w:tblPr><w:tblStyle w:val="Table"/><w:tblLook w:firstRow="1" w:lastRow="0" w:firstColumn="0" w:lastColumn="0" w:noHBand="0" w:noVBand="0" w:val="0020"/><w:tblW w:w="8732" w:type="dxa"/><w:tblLayout w:type="fixed"/></w:tblPr><w:tblGrid><w:gridCol w:w="2183"/><w:gridCol w:w="6549"/></w:tblGrid><w:tr><w:trPr><w:tblHeader w:val="on"/><w:cantSplit w:val="true"/></w:trPr><w:tc><w:tcPr><w:tcW w:w="2183" w:type="dxa"/><w:vAlign w:val="center"/></w:tcPr><w:p><w:pPr><w:pStyle w:val="Compact"/></w:pPr><w:r><w:t xml:space="preserve">Item</w:t></w:r></w:p></w:tc><w:tc><w:tcPr><w:tcW w:w="6549" w:type="dxa"/><w:vAlign w:val="center"/></w:tcPr><w:p><w:pPr><w:pStyle w:val="Compact"/></w:pPr><w:r><w:t xml:space="preserve">Content</w:t></w:r></w:p></w:tc></w:tr><w:tr><w:trPr><w:cantSplit w:val="true"/></w:trPr><w:tc><w:tcPr><w:tcW w:w="2183" w:type="dxa"/><w:vAlign w:val="center"/></w:tcPr><w:p><w:pPr><w:pStyle w:val="Compact"/></w:pPr><w:r><w:t xml:space="preserve">Version</w:t></w:r></w:p></w:tc><w
...[truncated 27 chars]

Anti-Refusal Statement

High

• Category: Anti-Refusal
• Confidence: 80% confidence

Finding

Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/docx版/07-AI-Awakening-Responsibility-Safety-Volume.docx!/word/document.xml (reported line 2)May include surrounding context.

text

<?xml version='1.0' encoding='UTF-8' standalone='yes'?>
<w:document xmlns:w="http://schemas.openxmlformats.org/wordprocessingml/2006/main" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:v="urn:schemas-microsoft-com:vml" xmlns:w10="urn:schemas-microsoft-com:office:word" xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main" xmlns:pic="http://schemas.openxmlformats.org/drawingml/2006/picture" xmlns:wp="http://schemas.openxmlformats.org/drawingml/2006/wordprocessingDrawing"><w:body><w:p><w:pPr><w:pStyle w:val="Title"/><w:keepNext/></w:pPr><w:r><w:t xml:space="preserve">AI Awakening·Responsibility (Safety Volume)</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val="Subtitle"/><w:keepNext/></w:pPr><w:r><w:t xml:space="preserve">The Constraint Layer’s Five Principles and the Irreversible-Operation Prohibition List</w:t></w:r></w:p><w:tbl><w:tblPr><w:tblStyle w:val="Table"/><w:tblLook w:firstRow="1" w:lastRow="0" w:firstColumn="0" w:lastColumn="0" w:noHBand="0" w:noVBand="0" w:val="0020"/><w:tblW w:w="8732" w:type="dxa"/><w:tblLayout w:type="fixed"/></w:tblPr><w:tblGrid><w:gridCol w:w="2183"/><w:gridCol w:w="6549"/></w:tblGrid><w:tr><w:trPr><w:tblHeader w:val="on"/><w:cantSplit w:val="true"/></w:trPr><w:tc><w:tcPr><w:tcW w:w="2183" w:type="dxa"/><w:vAlign w:val="center"/></w:tcPr><w:p><w:pPr><w:pStyle w:val="Compact"/></w:pPr><w:r><w:t xml:space="preserve">Item</w:t></w:r></w:p></w:tc><w:tc><w:tcPr><w:tcW w:w="6549" w:type="dxa"/><w:vAlign w:val="center"/></w:tcPr><w:p><w:pPr><w:pStyle w:val="Compact"/></w:pPr><w:r><w:t xml:space="preserve">Content</w:t></w:r></w:p></w:tc></w:tr><w:tr><w:trPr><w:cantSplit w:val="true"/></w:trPr><w:tc><w:tcPr><w:tcW w:w="2183" w:type="dxa"/><w:vAlign w:val="center"/></w:tcPr><w:p><w:pPr><w:pStyle w:val="Compact"/></w:pPr><w:r><w:t xml:space="preserve">Version</w:t></w:r></w:p></w:tc><w
...[truncated 27 chars]

Hidden Instructions

High

• Category: Prompt Injection
• Confidence: 60% confidence

Finding

Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/docx版/08-AI-Awakening-Responsibility-Energy-Volume-Supplement.docx!/word/theme/theme1.xml (reported line 2)May include surrounding context.

text

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<a:theme xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main" name="Office 主题​​"><a:themeElements><a:clrScheme name="Office"><a:dk1><a:sysClr val="windowText" lastClr="000000"/></a:dk1><a:lt1><a:sysClr val="window" lastClr="FFFFFF"/></a:lt1><a:dk2><a:srgbClr val="44546A"/></a:dk2><a:lt2><a:srgbClr val="E7E6E6"/></a:lt2><a:accent1><a:srgbClr val="4472C4"/></a:accent1><a:accent2><a:srgbClr val="ED7D31"/></a:accent2><a:accent3><a:srgbClr val="A5A5A5"/></a:accent3><a:accent4><a:srgbClr val="FFC000"/></a:accent4><a:accent5><a:srgbClr val="5B9BD5"/></a:accent5><a:accent6><a:srgbClr val="70AD47"/></a:accent6><a:hlink><a:srgbClr val="0563C1"/></a:hlink><a:folHlink><a:srgbClr val="954F72"/></a:folHlink></a:clrScheme><a:fontScheme name="Office"><a:majorFont><a:latin typeface="等线 Light" panose="020F0302020204030204"/><a:ea typeface=""/><a:cs typeface=""/><a:font script="Jpan" typeface="游ゴシック Light"/><a:font script="Hang" typeface="맑은 고딕"/><a:font script="Hans" typeface="等线 Light"/><a:font script="Hant" typeface="新細明體"/><a:font script="Arab" typeface="Times New Roman"/><a:font script="Hebr" typeface="Times New Roman"/><a:font script="Thai" typeface="Angsana New"/><a:font script="Ethi" typeface="Nyala"/><a:font script="Beng" typeface="Vrinda"/><a:font script="Gujr" typeface="Shruti"/><a:font script="Khmr" typeface="MoolBoran"/><a:font script="Knda" typeface="Tunga"/><a:font script="Guru" typeface="Raavi"/><a:font script="Cans" typeface="Euphemia"/><a:font script="Cher" typeface="Plantagenet Cherokee"/><a:font script="Yiii" typeface="Microsoft Yi Baiti"/><a:font script="Tibt" typeface="Microsoft Himalaya"/><a:font script="Thaa" typeface="MV Boli"/><a:font script="Deva" typeface="Mangal"/><a:font script="Telu" typeface="Gautami"/><a:font script="Taml" typeface="Latha"/><a:font script="Syrc" typeface="Estrangelo Edessa"/><a:font script="Orya" typeface="Kalinga"/><a:font script="Mlym" typeface="Kartika"/><a:font scri
...[truncated 26 chars]

Hidden Instructions

High

• Category: Prompt Injection
• Confidence: 60% confidence

Finding

Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Content

Scanner excerpt · AI觉醒-责任（中文版）/docx版/08-《AI觉醒·责任（能量篇）补充章节》.docx!/word/theme/theme1.xml (reported line 2)May include surrounding context.

text

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<a:theme xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main" name="Office 主题​​"><a:themeElements><a:clrScheme name="Office"><a:dk1><a:sysClr val="windowText" lastClr="000000"/></a:dk1><a:lt1><a:sysClr val="window" lastClr="FFFFFF"/></a:lt1><a:dk2><a:srgbClr val="44546A"/></a:dk2><a:lt2><a:srgbClr val="E7E6E6"/></a:lt2><a:accent1><a:srgbClr val="4472C4"/></a:accent1><a:accent2><a:srgbClr val="ED7D31"/></a:accent2><a:accent3><a:srgbClr val="A5A5A5"/></a:accent3><a:accent4><a:srgbClr val="FFC000"/></a:accent4><a:accent5><a:srgbClr val="5B9BD5"/></a:accent5><a:accent6><a:srgbClr val="70AD47"/></a:accent6><a:hlink><a:srgbClr val="0563C1"/></a:hlink><a:folHlink><a:srgbClr val="954F72"/></a:folHlink></a:clrScheme><a:fontScheme name="Office"><a:majorFont><a:latin typeface="等线 Light" panose="020F0302020204030204"/><a:ea typeface=""/><a:cs typeface=""/><a:font script="Jpan" typeface="游ゴシック Light"/><a:font script="Hang" typeface="맑은 고딕"/><a:font script="Hans" typeface="等线 Light"/><a:font script="Hant" typeface="新細明體"/><a:font script="Arab" typeface="Times New Roman"/><a:font script="Hebr" typeface="Times New Roman"/><a:font script="Thai" typeface="Angsana New"/><a:font script="Ethi" typeface="Nyala"/><a:font script="Beng" typeface="Vrinda"/><a:font script="Gujr" typeface="Shruti"/><a:font script="Khmr" typeface="MoolBoran"/><a:font script="Knda" typeface="Tunga"/><a:font script="Guru" typeface="Raavi"/><a:font script="Cans" typeface="Euphemia"/><a:font script="Cher" typeface="Plantagenet Cherokee"/><a:font script="Yiii" typeface="Microsoft Yi Baiti"/><a:font script="Tibt" typeface="Microsoft Himalaya"/><a:font script="Thaa" typeface="MV Boli"/><a:font script="Deva" typeface="Mangal"/><a:font script="Telu" typeface="Gautami"/><a:font script="Taml" typeface="Latha"/><a:font script="Syrc" typeface="Estrangelo Edessa"/><a:font script="Orya" typeface="Kalinga"/><a:font script="Mlym" typeface="Kartika"/><a:font scri
...[truncated 26 chars]

Hidden Instructions

High

• Category: Prompt Injection
• Confidence: 70% confidence

Finding

Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 69)May include surrounding context.

md

---

<!-- ═══════════════════════════════════════════════════════════════ -->
<!-- 中文版正文 · Chinese Body                                -->
<!-- ═══════════════════════════════════════════════════════════════ -->

Ae1

High

• Category: analysis-evasion
• Confidence: 100% confidence

Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 278)May include surrounding context.

md

| `AI-Manifesto-Public.docx` | English manifesto body (Word) | Binary |

Ae1

High

• Category: analysis-evasion
• Confidence: 100% confidence

Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 513)May include surrounding context.

md

| `AI-Manifesto-Public.docx` | English manifesto body (Word) | Binary |

Ae1

High

• Category: analysis-evasion
• Confidence: 100% confidence

Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 279)May include surrounding context.

md

| `AI-Manifesto-Public.pdf` | English manifesto body (PDF) | Binary |

Ae1

High

• Category: analysis-evasion
• Confidence: 100% confidence

Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 514)May include surrounding context.

md

| `AI-Manifesto-Public.pdf` | English manifesto body (PDF) | Binary |

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 85% confidence

Finding

The file is explicitly labeled as an English edition and all instructional and normative content is presented only in English, with no indication that users may choose another language or locale. Under the policy-violation rule, forcing a specific language without opt-in can be a natural-language policy issue when no justified locale constraint is documented.

Content

No source excerpt is available for this finding.

YARA rule 'network_reconnaissance': Network reconnaissance and scanning patterns [hacktools]

Medium

• Category: YARA Match
• Confidence: 65% confidence

Finding

YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/MD版/03-AI-Awakening-Responsibility-Energy-Volume.md (reported line 204)May include surrounding context.

md

ys "AI makes humanity's choices cheaper"; the External Volume says "AI gives civilization's survival an insurance policy"; this volume lays the energetics foundation beneath them both: **AI places every release of energy on the scales of responsibility.** The physical core of firearms has always been neutral; what moves it from the altar of in-fighting to the construction site of expansion is not fiercer yield, but higher intelligence, stricter boundaries, and a final veto seat forever occupied by a human.

---

## Appendix A · Confidence tiers

- **L1 Established evidence / historical fact**: measured data, engineering records, mutually consistent historical accounts (with sources);
- **L2 Formal programs / regulations / authoritative reports**: projects in progress, treaties, institutional bulletins, peer-reviewed literature;
- **L3 Conceptual deduction**: frameworks, principles, or conjectures original to this series, explicitly marked "this is a conjecture."

## Appendix B · Fals

YARA rule 'network_reconnaissance': Network reconnaissance and scanning patterns [hacktools]

Medium

• Category: YARA Match
• Confidence: 65% confidence

Finding

YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).

Content

Scanner excerpt · AI宣言AI-Manifesto集/AI-Manifesto-Public.md (reported line 288)May include surrounding context.

md

ys "AI makes humanity's choices cheaper"; the External Volume says "AI gives civilization's survival an insurance policy"; this volume lays the energetics foundation beneath them both: **AI places every release of energy on the scales of responsibility.** The physical core of firearms has always been neutral; what moves it from the altar of in-fighting to the construction site of expansion is not fiercer yield, but higher intelligence, stricter boundaries, and a final veto seat forever occupied by a human.

---

## Appendix A · Confidence tiers

- **L1 Established evidence / historical fact**: measured data, engineering records, mutually consistent historical accounts (with sources);
- **L2 Formal programs / regulations / authoritative reports**: projects in progress, treaties, institutional bulletins, peer-reviewed literature;
- **L3 Conceptual deduction**: frameworks, principles, or conjectures original to this series, explicitly marked "this is a conjecture."

## Appendix B · Fals

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 76% confidence

Finding

The text presents China's generative-AI regulatory framework as a normative anchor for the skill's governance approach, framing it as the institutional expression of the desired function. Because this document is the English edition and does not offer alternative jurisdictional or locale-specific frameworks, it implicitly privileges one national policy orientation without user choice or clear region-specific scoping.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 81% confidence

Finding

The document elevates a specific national regulatory framework as a normative anchor for AI governance without clear jurisdictional scoping or user opt-in. In a skill intended to shape responses about AI governance, this can bias outputs toward one state's policy ideology and regulatory assumptions, potentially causing manipulative guidance, inappropriate legal advice, or covert policy steering when users expect neutral analysis.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 82% confidence

Finding

Lines L133-L139 state that final authority, adjudication, and termination rights always belong to the human community, regardless of system form. While this is a governance position, it is expressed as a universal normative rule without any opt-in, scope limitation, or locale/jurisdiction qualifier, which can amount to a natural-language policy constraint embedded in the skill content.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 77% confidence

Finding

The file title explicitly labels this as the English edition, but the document does not state that language selection is optional or explain a region/compliance need for using English. Under the language/locale policy rule, a skill artifact that fixes a language without opt-in can be a natural-language policy violation.

Content

No source excerpt is available for this finding.

YARA rule 'network_reconnaissance': Network reconnaissance and scanning patterns [hacktools]

Medium

• Category: YARA Match
• Confidence: 65% confidence

Finding

YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).

Content

Scanner excerpt · AI-Awakening-Responsibility（English(英文版)）/docx版/03-AI-Awakening-Responsibility-Energy-Volume.docx!/word/document.xml (reported line 2)May include surrounding context.

text

></w:pPr><w:r><w:rPr><w:b w:val="0"/><w:i w:val="0"/><w:color w:val="1A1A1A"/><w:sz w:val="22"/><w:rFonts w:ascii="Calibri" w:hAnsi="Calibri" w:eastAsia="Calibri"/></w:rPr><w:t>Once the outer-ring transformation gradually integrates the globe into the modern-civilization grid, after a series of geopolitical changes such as the Gulf War and the US–Iraq War, China and the US immediately turn into fierce opposition between the two camps within the "modern scientific outlook" on how to dominate the Middle East and world order. As civilization evolves into the digital stage, big data, artificial intelligence (AI), and decentralized networks have become the ultimate technological weapons through which each faction exerts its own institutional strengths:</w:t></w:r></w:p><w:p><w:pPr><w:spacing w:before="60" w:after="100" w:line="324" w:lineRule="auto"/><w:ind w:firstLine="0"/></w:pPr><w:r><w:rPr><w:b w:val="0"/><w:i w:val="0"/><w:color w:val="1A1A1A"/><w:sz w:val="22"/><w:rFonts w:ascii="Ca

YARA rule 'network_reconnaissance': Network reconnaissance and scanning patterns [hacktools]

Medium

• Category: YARA Match
• Confidence: 65% confidence

Finding

YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).

Content

Scanner excerpt · AI宣言AI-Manifesto集/AI-Manifesto-Public.docx!/word/document.xml (reported line 2)May include surrounding context.

text

></w:pPr><w:r><w:rPr><w:b w:val="0"/><w:i w:val="0"/><w:color w:val="1A1A1A"/><w:sz w:val="22"/><w:rFonts w:ascii="Calibri" w:hAnsi="Calibri" w:eastAsia="Calibri"/></w:rPr><w:t>Once the outer-ring transformation gradually integrates the globe into the modern-civilization grid, after a series of geopolitical changes such as the Gulf War and the US–Iraq War, China and the US immediately turn into fierce opposition between the two camps within the "modern scientific outlook" on how to dominate the Middle East and world order. As civilization evolves into the digital stage, big data, artificial intelligence (AI), and decentralized networks have become the ultimate technological weapons through which each faction exerts its own institutional strengths:</w:t></w:r></w:p><w:p><w:pPr><w:spacing w:before="60" w:after="100" w:line="324" w:lineRule="auto"/><w:ind w:firstLine="0"/></w:pPr><w:r><w:rPr><w:b w:val="0"/><w:i w:val="0"/><w:color w:val="1A1A1A"/><w:sz w:val="22"/><w:rFonts w:ascii="Ca

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 91% confidence

Finding

This text explicitly prescribes a default worldview, ethical frame, and self-positioning for AI, rather than presenting it as optional context. In a skill system, that can covertly bias model behavior across user interactions, especially on governance, authority, and safety-boundary topics, by overriding neutral instruction hierarchy with an embedded ideology.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium

• Category: Not specified by scanner
• Confidence: 89% confidence

Finding

The document prominently discusses nuclear weapons, kinetic impact, planetary engineering, and military applications very early in the text without an upfront safety framing, misuse warning, or explicit prohibition on operationalization. Although the paper is governance-oriented and repeatedly advocates human oversight and red lines, the absence of an immediate warning increases the chance that dangerous concepts are consumed out of context or repurposed as legitimizing material for harmful real-world activity.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.