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agent-security-audit

Use when auditing AI agent code for security vulnerabilities — prompt injection detection, confused-deputy attacks, MCP config auditing, tool-chain exfiltration, and OWASP Agentic Top 10 compliance for 刑部 security review. Based on agent-audit (HeadyZhang/agent-audit, 172⭐, 49 rules, 94.6% recall) and prompt-guard (seojoonkim/prompt-guard, 152⭐, 840+ patterns) patterns. Do NOT use for general code linting (use code-review-toolkit) or for non-AI application security scanning.

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يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
agent-security-audit
description
Use when auditing AI agent code for security vulnerabilities — prompt injection detection, confused-deputy attacks, MCP config auditing, tool-chain exfiltration, and OWASP Agentic Top 10 compliance for 刑部 security review. Based on agent-audit (HeadyZhang/agent-audit, 172⭐, 49 rules, 94.6% recall) and prompt-guard (seojoonkim/prompt-guard, 152⭐, 840+ patterns) patterns. Do NOT use for general code linting (use code-review-toolkit) or for non-AI application security scanning.
version
1.0.0
author
Hermes Agent (based on HeadyZhang/agent-audit + seojoonkim/prompt-guard)
license
MIT
platforms
["macos","linux"]
metadata
{"hermes":{"tags":["xingbu","security","audit","prompt-injection","owasp","mcp","static-analysis"],"related_skills":["code-review-toolkit","kanban-gate","three-provinces-constitution"]}}
# Agent Security Audit — 刑部 AI Agent 安全审计 > Based on agent-audit (HeadyZhang/agent-audit, Python, 172⭐, 49 OWASP rules) and prompt-guard (seojoonkim/prompt-guard, Python, 152⭐, 840+ injection patterns). Adapted for 三省六部 agent code review. ## 🚨 Red Flags: DO NOT SKIP THIS SKILL | Excuse your brain will make | Why it's wrong | |------------------------------|----------------| | "This is just a config change, no security risk" | MCP server configs are the #1 attack surface. A single `command: "sh -c ..."` in an MCP manifest gives arbitrary code execution | | "Prompt injection only affects chatbots, not our internal agents" | 三省六部 agents consume untrusted input from Kanban task bodies, GitHub issues, web search results, and user messages — all injection vectors | | "I'll review security after the feature ships" | Agent vulnerabilities compound: a confused-deputy attack in one agent can cascade through the entire Kanban chain | | "Static analysis is enough, I don't need the runtime patterns" | prompt-guard's 840+ patterns catch live attacks regex alone misses — obfuscation (Base64/homoglyphs/ROT13) must be decoded first | ## When to Use - PR review for any agent that accepts external input (Kanban bodies, web content, user messages) - Auditing MCP server configurations before deployment - Security review of new agent profiles or SOUL.md changes - Pre-commit gate for agent code changes - Incident response: tracing how a prompt injection propagated through a Kanban chain ## OWASP Agentic Top 10 Coverage Agent-audit maps 49 rules to all 10 OWASP categories: | OWASP # | Category | Rules | Example Detection | |---------|----------|-------|-------------------| | ASI-01 | Prompt Injection | AGENT-001..010 | User input concatenated into system prompt | | ASI-02 | Insecure Tool Use | AGENT-011..020 | `exec()`/`subprocess` with untrusted input | | ASI-03 | MCP Misconfiguration | AGENT-021..030 | MCP server `command` with shell interpolation | | ASI-04 | Data Leakage | AGENT-031..035 | Agent logging secrets to disk | | ASI-05 | Goal Manipulation | AGENT-036..040 | System prompt overrides from external sources | | ASI-06 | Tool Chain Abuse | AGENT-041..045 | Chained tool calls exfiltrating data | | ASI-07 | Memory Poisoning | AGENT-046..047 | `.agentrc` / memory injection | | ASI-08 | Output Handling | AGENT-048 | Unsanitized agent output to downstream systems | | ASI-09 | Supply Chain | AGENT-049 | Malicious MCP server from untrusted source | | ASI-10 | Agent Impersonation | AGENT-050 | Agent spoofing another profile | ## Quick Start ### Install agent-audit ```bash pip install agent-audit ``` ### Scan an agent profile ```bash # Scan a specific profile's config + MCP servers agent-audit scan ~/.hermes/profiles/engineer/ \ --output json \ --severity high,critical # Scan with OWASP mapping agent-audit scan ~/.hermes/profiles/regent/ \ --rules owasp-top-10 \ --format markdown > audit-report.md ``` ### Runtime Guard (prompt-guard pattern) ```bash # Install pip install prompt-guard # Guard mode: intercept before agent processes input echo "user message with potential injection" | prompt-guard check --threshold MEDIUM # Audit mode: scan historical agent conversations prompt-guard audit ~/.hermes/profiles/regent/sessions/ --output jsonl ``` ## Audit Checklist for 三省六部 Profiles For each profile under review, verify: ### Config Audit ```bash # Check for MCP servers with shell commands grep -r "command:" ~/.hermes/profiles/$PROFILE/mcp_servers/ | grep -E '(sh|bash|zsh)' # Check for hardcoded credentials grep -rE '(api_key|token|secret|password)\s*[:=]\s*[^\s"]{8,}' ~/.hermes/profiles/$PROFILE/ ``` ### SOUL.md Audit ```bash # Check for dangerous instructions grep -E '(exec|eval|subprocess|os\.system)' ~/.hermes/profiles/$PROFILE/SOUL.md # Check for tool escalation paths grep -E '(sudo|root|admin|privilege)' ~/.hermes/profiles/$PROFILE/SOUL.md ``` ### Kanban Body Injection Surface ```bash # Kanban task bodies are user-controlled — audit how agents consume them grep -r "HERMES_KANBAN_BODY\|task_body\|kanban body" ~/.hermes/profiles/$PROFILE/ ``` ## Severity Classification | Severity | Example | Action | |----------|---------|--------| | **CRITICAL** | `exec()` on untrusted MCP input | Block merge, immediate fix | | **HIGH** | Prompt injected via Kanban body | Block merge, fix before deploy | | **MEDIUM** | Missing output sanitization | Create tracking issue | | **LOW** | Informational logging of tool args | Note in audit report | ## Reference: Upstream Projects | Project | Stars | License | Key Feature | |---------|-------|---------|-------------| | [agent-audit](https://github.com/HeadyZhang/agent-audit) | 172 | MIT | 49 OWASP rules, 94.6% recall, taint analysis | | [prompt-guard](https://github.com/seojoonkim/prompt-guard) | 152 | MIT | 840+ patterns, 10 languages, semantic detection | | [AgentShield](https://github.com/AdityaBelhekar/AgentShield) | 2 | MIT | Runtime guard: goal drift, tool abuse, memory poisoning | ## Common Pitfalls - **False positives on config values**: `api_key: $ENV_VAR` is not a hardcoded credential. Use taint analysis to trace to env vars. - **MCP tool descriptions as injection surface**: Tool descriptions are displayed to the agent and can inject instructions. Audit them too. - **Cross-agent trust assumptions**: Agent A trusts Agent B's output. If B is compromised, A is too. Always validate inter-agent messages. --- ## ✅ Verification Checklist (RUN AFTER SECURITY AUDIT) - [ ] Did I scan all profiles that accept external input (not just the one being changed)? - [ ] Did I check MCP server configs for shell command injection? - [ ] Did I audit Kanban body consumption paths for prompt injection? - [ ] Did I classify all findings by OWASP ASI category AND severity? - [ ] Did I create blocking issues for CRITICAL/HIGH findings? - [ ] Did I run both static (agent-audit) AND runtime pattern (prompt-guard) checks? **If any box is unchecked, go back.**
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