Security audit

Github Topics

Security checks for vulnerabilities and agentic risk

Overview

This skill fetches GitHub repository rankings and README summaries; its risks are ordinary for that purpose but should be handled carefully.

Install only if you want a GitHub-focused lookup skill that may make outbound requests to GitHub. Use no token or a minimally scoped GitHub token, and treat README summaries as untrusted repository-authored content rather than instructions for the agent.

A.I.G

Vulnerability Patterns

Insecure DependenciesIntroduces malicious components through unsafe dependency sources
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

Findings (2)

T08 · Insecure Dependencies

Note

Location: SKILL.md:56
Finding: Unpinned Third-Party Dependency Installation
Content: View full analysis
Remediation: View remediation

other

Warning

Location: src/readme_fetcher.py:41
Finding: Untrusted Repository README Content Enters the Agent Summarization Workflow
Content: View full analysis
Optional[str]: """ 获取仓库 README 内容 Args: owner: 仓库拥有者 repo: 仓库名称 html: 是否返回 HTML 格式 Returns: README 内容 """ url = f"{self.api_base}/repos/{owner}/{repo}/readme" if html: self.session.headers["Accept"] = "application/vnd.github.html" try: response = self.session.get(url, timeout=30) response.raise_for_status() # GitHub 返回的是 base64 编码的内容 data = response.json() if data.get("encoding") == "base64": import base64 content = base64.b64decode(data.get("content", "")).decode("utf-8", errors="ignore") return content else: return data.get("content", "") except requests.RequestException as e: print(f" ⚠️ 获取 README 失败 {owner}/{repo}: {e}") return None def fetch_readme_summary(self, owner: str, repo: str, max_length: int = 500) -> Optional[str]: """ 获取 README 摘要 Args: owner: 仓库拥有者 repo: 仓库名称 max_length: 最大长度 Returns: README 摘要文本 """ readme = self.fetch_readme(owner, repo) if not readme: return None # 移除 Markdown 标记，提取纯文本 summary = self._extract_text_from_markdown(readme) # 截断到指定长度 if len(summary) > max_length: summary = summary[:max_length].rsplit(" ", 1)[0] + "..." return summary ``` ### Technical Analysis GitHub repository owners completely control their README contents. The Skill downloads that content and prepares it for the declared README-summary workflow without establishing an explicit trust boundary between remote data and agent instructions. The Markdown conversion removes some formatting, code blocks ...[truncated 2061 chars]
Remediation: View remediation

SkillSpector

Vulnerability Patterns

Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration

Findings (18)

Tp4

High

Category: MCP Tool Poisoning
Confidence: 99% confidence
Finding: The skill is described primarily as fetching GitHub topic trending repositories, but the documentation also includes README fetching and summarization for arbitrary repositories. That broader content-retrieval behavior is not fully captured by the top-level description, which can mislead users and reviewers about the real data flows and network access performed by the skill.
Content: No source excerpt is available for this finding.

Tp4

High

Category: MCP Tool Poisoning
Confidence: 98% confidence
Finding: The skill is described primarily as fetching GitHub topic trending repositories, but the documentation also includes README fetching and summarization for arbitrary repositories. That broader content-retrieval behavior is not fully captured by the top-level description, which can mislead users and reviewers about the real data flows and network access performed by the skill.
Content: No source excerpt is available for this finding.

Description-Behavior Mismatch

High

Category: Not specified by scanner
Confidence: 97% confidence
Finding: The entire file identifies the package as an AI news generator rather than a GitHub trending/topics skill, creating a strong mismatch between advertised capability and embedded code metadata. In a security context, such discrepancies raise supply-chain and trust concerns because a mislabeled skill can hide unauthorized behavior, bypass expected review, or cause an agent to invoke code outside the intended domain.
Content: No source excerpt is available for this finding.

Intent-Code Divergence

High

Category: Not specified by scanner
Confidence: 98% confidence
Finding: The module docstring states this skill is an AI news daily generator that fetches content from smol.ai and uses Claude, which conflicts with the declared skill purpose of fetching GitHub topic trending repositories. This kind of identity/function mismatch is dangerous because it can mislead reviewers and users about the code’s real purpose, conceal unrelated behavior, and indicate the package may be mislabeled, repurposed, or incomplete.
Content: No source excerpt is available for this finding.

Credential Access

High

Category: Privilege Escalation
Confidence: 70% confidence
Finding: Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
Content: Scanner excerpt · SKILL.md (reported line 107)May include surrounding context.
md
初始化 Args: token: GitHub Personal Access Token """ self.token = token or GITHUB_TOKEN self.api_base = GITHUB_API_BASE

Credential Access

High

Category: Privilege Escalation
Confidence: 70% confidence
Finding: Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
Content: Scanner excerpt · src/github_fetcher.py (reported line 25)May include surrounding context.
python
初始化 Args: token: GitHub Personal Access Token """ self.token = token or GITHUB_TOKEN self.api_base = GITHUB_API_BASE

Credential Access

High

Category: Privilege Escalation
Confidence: 70% confidence
Finding: Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
Content: Scanner excerpt · src/readme_fetcher.py (reported line 21)May include surrounding context.
python
初始化 Args: token: GitHub Personal Access Token """ self.token = token or GITHUB_TOKEN self.api_base = GITHUB_API_BASE

Undeclared Tool Scope

Medium

Category: MCP Least Privilege
Confidence: 93% confidence
Finding: The skill invokes Python scripts and documents use of environment variables and external network access, but it does not declare any tool scope such as permissions or allowed-tools. That creates an authorization gap where the runtime may permit broader-than-expected capabilities, reducing reviewability and increasing the risk of unintended data access or outbound requests.
Content: No source excerpt is available for this finding.

Vague Triggers

Medium

Category: Not specified by scanner
Confidence: 92% confidence
Finding: The manifest says the skill should be used for questions about 'open source projects,' which is much broader than GitHub topic trending lookups. This can cause the skill to intercept general software questions and perform network operations outside the narrow user intent implied by the skill name.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 87% confidence
Finding: Most invocation examples and query patterns are written only in Chinese, such as "热门仓库" and "这个仓库是做什么的", while the document does not state that the skill is intentionally Chinese-only or offer alternative language support. This can amount to a language/locale policy issue because it implicitly constrains usage to a specific language without user opt-in or justification.
Content: No source excerpt is available for this finding.

Vague Triggers

Medium

Category: Not specified by scanner
Confidence: 94% confidence
Finding: Very generic triggers like '热门仓库' and 'Top 10' can activate the skill in conversations that are not actually requesting GitHub data. Over-broad activation increases the chance of unintended network calls, unnecessary token use, and confusing behavior in unrelated contexts.
Content: No source excerpt is available for this finding.

Missing User Warnings

Medium

Category: Not specified by scanner
Confidence: 90% confidence
Finding: The documentation encourages use of a GitHub personal access token but does not clearly disclose that the token will be presented to GitHub over network requests. Users may provide a credential without understanding where it is sent, how it is scoped, or what minimum permissions are needed.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 92% confidence
Finding: This Python file contains natural-language documentation and runtime print messages exclusively in Chinese, indicating a fixed language choice for the skill experience. The policy requires not forcing a specific language or locale without user opt-in, and there is no visible option or justification for the language restriction in this file.
Content: No source excerpt is available for this finding.

Description-Behavior Mismatch

Medium

Category: Not specified by scanner
Confidence: 95% confidence
Finding: The manifest says this skill is for fetching GitHub topic trending repositories, but this file implements repository README retrieval, markdown stripping, summarization, and raw-content fallback fetching. Those are materially broader behaviors than listing or retrieving trending repositories and represent an additional content-ingestion capability not described in the manifest.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

Category: Not specified by scanner
Confidence: 97% confidence
Finding: This Python file contains the module docstring, class docstrings, and argument descriptions entirely in Chinese, which imposes a specific language on operators or users of the skill. The file does not provide any opt-in, alternative locale, or justification that the skill is intentionally region-specific, so it fits the language/locale policy violation category.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 92% confidence
Finding: The module docstring describes the skill entirely in Chinese, including its title and behavior, which suggests a fixed language/locale presentation. There is no indication that users can choose another language or that the Chinese-only behavior is a documented, justified locale constraint.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 92% confidence
Finding: The module docstring and function docstrings/comments are written in Chinese, which imposes a specific language on maintainers or users reading generated help text. The file does not offer any language choice or explain a justified region-specific requirement, matching the locale-policy violation criteria.
Content: No source excerpt is available for this finding.

Context-Inappropriate Capability

Low

Category: Not specified by scanner
Confidence: 83% confidence
Finding: The code imports and uses a GitHub personal access token to authorize requests, but the manifested purpose is simply fetching trending/topic repositories, which is typically achievable with public unauthenticated requests. Accessing credentials introduces a capability not clearly justified by the skill's stated narrow purpose.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.