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Security audit

Journal SCI/SSCI Checker

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed journal-index lookup aid with a local data list and a purpose-aligned maintenance script, not evidence of hidden or unsafe behavior.

Before installing, treat this as a Chinese-language journal screening helper backed by a bundled list, not as an authoritative live Web of Science/JCR integration. Run the update script only when you intend to maintain the local journals.txt data file, and review any future implementation that adds real network fetching or scraping.

A.I.G

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • 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

SkillSpector

Vulnerability Patterns
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • YARA SignaturesMalware Match, Webshell Match, Cryptominer Match
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
Findings (6)

Tp4

High
Category
MCP Tool Poisoning
Confidence
96% confidence
Finding

The manifest claims this skill checks whether a journal is indexed at evaluation time, but the documented concrete action is a maintenance script that fetches data and rewrites a local journals.txt file. This mismatch is dangerous because operators may approve or auto-trigger the skill for a low-risk lookup use case while it actually performs state-changing local updates, increasing the chance of unauthorized file modification, stale trust assumptions, and abuse through disguised behavior.

Content

No source excerpt is available for this finding.

YARA rule 'agent_skill_mcp_tool_poisoning_metadata': MCP/tool metadata poisoning indicators in tool schemas or skill manifests [agent_skills]

High
Category
YARA Match
Confidence
80% confidence
Finding

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

Content

Scanner excerpt · SKILL.md (reported line 8)May include surrounding context.

md
---
AIGC:
    ContentProducer: Minimax Agent AI
    ContentPropagator: Minimax Agent AI
    Label: AIGC
    ProduceID: "00000000000000000000000000000000"
    PropagateID: "00000000000000000000000000000000"
    ReservedCode1: 304402203e494f87230d1a50ff89c740a1dcf262f851f797f89d5f8719660f13f962ef46022057029d5d3e6ccb4e2572d3e1e89eb36d9dcd689854aa14c8d73caca8c9088fee
    ReservedCode2: 3045022044c1b49bfaef40d0093443964c1d345ff898cfecc13fe642a183061ecb19110c022100c9b81f2818d1675763d1d57f1b4303c39994acda2357687849bc53debb05d077
description: |-
    检查心理学学术期刊是否被 SCI 或 SSCI 索引。在评估文献质量时使用，帮助筛选符合条件的期刊文章。
    触发场景：
    - 用户要求检查某期刊是否被 SCI/SSCI 索引
    - 在评估非预印本文献质量时自动调用
    - �

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
83% confidence
Finding

The skill documentation describes behavior that includes updating a local journal list file via an external script, but it does not declare any tool scope or permissions for file-writing capability. Undeclared write capability weakens containment and review, because a maintainer or runtime may grant broader access than users expect and the skill could modify local data without explicit authorization boundaries.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The activation conditions include automatic invocation during broad literature-evaluation workflows rather than only explicit user requests. Overly broad auto-triggering increases the chance that the skill runs in contexts where its assumptions are wrong, causing unintended data handling, unnecessary external lookups, or execution of maintenance-related logic without clear user intent.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
82% confidence
Finding

The natural-language description and usage guidance are entirely in Chinese, with no indication that language choice is optional or that the skill is intended only for a Chinese-language environment. This can violate language or locale policy when users have not opted into that language.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
80% confidence
Finding

This plain-text file mixes English content with Chinese section headings such as 'Nature系列', 'SCIENCE系列', and similar labels. Because the file does not document that it is intended for Chinese-speaking users or offer any locale choice, it imposes a specific language context without opt-in, which fits the language/locale policy concern.

Content

No source excerpt is available for this finding.