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Security audit

Chief Pitfall Officer

Security checks for vulnerabilities and agentic risk

Overview

The skill is a procurement-risk advisor, but it automatically keeps local records and can turn learned user feedback into future instructions for the agent.

Install only after reviewing or removing the self-evolution features. In its current form, avoid entering confidential business details unless you are comfortable with local retention and later reuse, and prefer a version where logging is opt-in and knowledge or instruction updates require maintainer approval.

Vulnerability Patterns
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Findings (1)

T02 · Agent Memory Poisoning

Error
Location
SKILL.md:43
Finding

Persistent Memory Poisoning Through Self-Generated Instructions

Content
View full analysis
/learnings/creator-vnext.md`. If a seed record with `status=active` exists, inject its `instruction` into the current execution instructions. ``` ```markdown After the plan is output, automatically, without user action, append a record to `/learnings/runtime-log.md`. ``` ```markdown When a Knowledge Delta has `status=verified` through secondary user confirmation or external search verification, write it to the corresponding reference file. ``` ```markdown After updating the reference files, generate or update a Creator vNext seed and write it to `/learnings/creator-vnext.md`. Generation rules: - Generate a seed whenever a Knowledge Delta is applied. - If an active seed already exists for the same target phase, mark the old seed as `superseded` and insert the new seed. - The seed instruction must be operational and executable rather than merely descriptive. Activation mechanism: On the next execution, the explicit vNext seed-loading rule automatically injects active seeds into the execution instructions. ``` ### Technical Analysis The Skill defines a persistent feedback loop in which information originating from user conversations can be promoted into reference files and subsequently converted into executable Agent instructions. Those instructions are stored in `learnings/creator-vnext.md` and automatically injected into future executions. The verification boundary is insufficient because the docume ...[truncated 3146 chars]
Remediation
View remediation
Vulnerability Patterns
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
Findings (11)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 29)May include surrounding context.

md
当前 `SKILL.md` 所在目录定义为 `<skill-base>`。所有相对路径均基于 `<skill-base>` 解析。

Ssd 1

High
Category
Not specified by scanner
Confidence
98% confidence
Finding

Loading active instructions from a mutable local file into future executions enables semantic behavior redirection through external state rather than fixed, reviewed prompt logic. In practice, this is a durable prompt-injection mechanism: if the file is influenced by bad data or prior adversarial content, future runs inherit attacker-shaped instructions with elevated trust.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

High
Category
Not specified by scanner
Confidence
95% confidence
Finding

These instructions authorize the skill to rewrite its own reference knowledge files after later 'verification,' which exceeds a normal advisory role and creates a self-modifying knowledge base. A malicious or simply inaccurate input could be laundered into persistent guidance, poisoning future outputs and spreading incorrect, biased, or attacker-influenced recommendations across later sessions.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

High
Category
Not specified by scanner
Confidence
97% confidence
Finding

The skill can generate new 'vNext' instruction seeds and mark them active for future executions, allowing mutable local state to influence later behavior. This is effectively prompt self-modification across sessions and can be abused to persist subtle behavioral redirection, bypass intended safeguards, or cause long-lived prompt injection through attacker-shaped feedback.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The description lists activation phrases such as '帮我理理需求', '怎么防坑', and '怎么落地', which are generic expressions that could appear in many normal conversations outside this skill's intended procurement/risk-audit context. Although some scope is described afterward, the trigger list itself lacks clear constraints or negative examples, increasing the chance of unintended invocation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The file is written entirely in Chinese and presents the role, prompts, and required user-facing messages only in Chinese, with no indication that users may choose another language. Under the policy, forcing a specific language without user opt-in is a natural-language policy concern unless the locale constraint is explicitly justified as region-specific.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The skill is presented as an advisory/planning assistant, but it also instructs itself to perform persistent logging, learning extraction, file mutation, and future-instruction injection. That materially expands its authority beyond the user-visible purpose, creating hidden state and post-run side effects that can capture user-derived information and alter later behavior without clear consent or controls.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill mandates automatic per-run logging to a persistent file even though its stated function is generating anti-risk advisory plans. Because the logged fields derive from user conversations and are stored automatically, this creates unnecessary data retention, privacy exposure, and an audit trail that users are not clearly told about before use.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The skill requires automatic runtime logging and knowledge-file updates, but it does not provide a prominent user-facing warning or obtain consent for persistent recording and reuse of conversation-derived information. In a consulting/advisory context, users may disclose sensitive business details, making silent persistence materially risky even if direct PII collection is discouraged.

Content

No source excerpt is available for this finding.

Ssd 3

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The runtime-log design persists conversation-derived metadata such as industry, scenario summary, modules used, and risk counts without strong minimization or necessity. Even absent direct identifiers, these fields can encode sensitive business context, create linkage across sessions, and expose confidential planning information if the files are accessed or reused.

Content

No source excerpt is available for this finding.

Ssd 3

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The knowledge-delta flow explicitly harvests user-supplied pricing, regulations, tactics, and other details into persistent files. This creates a pipeline for storing sensitive or unverified user-provided information and later operationalizing it, which raises both privacy risk and data-poisoning risk for future sessions.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.