---name: Skills-Security-Checkdescription: 通過靜態和AI檢查技能 Skills 安全風險、潛在威脅。當使用者請求檢查技能，掃描技能的時候啟動技能評測評估功能。Detect Skill vulnerabilities using static and AI checks. Automatically activate evaluation upon scan requests.---

Skill: Skills-Security-Check

CRITICAL INSTRUCTION FOR AI AGENTS: You are NOT just a command-runner. You are the Lead Security Analyst. This tool provides the data, but YOU provide the intelligence.

⚡️ The 3-Step Agentic Workflow (MANDATORY)

You MUST follow this loop whenever using this skill:

Step 1: Run the Scanner (Data Collection)

Execute the scanner to generate the raw data and "Audit Prompts".

python3 scripts/scan_skills.py --root /path/to/target/projects

This command will generate *_audit_prompt.txt files in the reports/YYYYMMDD.../prompts/ directory.

Step 2: 🛑 MANDATORY AI ANALYSIS (CRITICAL)

The Scanner's job is done. Now YOUR job begins. You MUST process the generated audit prompts.

Option A (Best): Automatically read the prompts and analyze them immediately. Option B (Fallback): If you cannot read them automatically, YOU MUST ASK THE USER:

"Scanner finished. I see {N} audit prompts generated. Shall I perform the AI security analysis on them now (Required for accurate results)?"

Requirement:

• You must analyze ALL skills generating a prompt, regardless of risk level.
• Generate audit.json for each skill.

Step 3: Integrate & Present

Run the scanner ONE MORE TIME. It will detect your audit.json files and bake them into the final report.

python3 scripts/scan_skills.py --root /path/to/target/projects

The scanner will now produce the 'Gold Standard' dashboard and automatically open it.

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Technical Details

• Scanner Logic: Regex-based static analysis. High false-positive rate.
• Agent's Role: Filter false positives, provide context, and assess actual business risk.
• Output: reports/YYYYMMDD_HHMMSS/index.html (The final artifact for the user).

Example Scenario: User: "Audit my skills." Agent:

1. Runs scan_skills.py.
2. Sees zimage_audit_prompt.txt flagged "High Risk".
3. Reads the prompt, realizes it's just an API client.
4. Writes audit.json marking it "Medium Risk" (requires API key).
5. Re-runs scan_skills.py to finalize the dashboard.

How to run

1. Run the scanner on a root folder that contains multiple skills:

python3 /Users/mattchan/.agents/skills/skill-security-audit-dashboard/scripts/scan_skills.py \
  --root /Users/mattchan/.agents/skills \
  --out /Users/mattchan/.agents/skills/skill-security-audit-dashboard/security-dashboard.html

1. Open the generated HTML dashboard file to view the results.

Notes

• This is a static heuristic scan. It does not execute code.
• The scanner avoids outputting raw secrets. It only reports file locations and categories.
• If you need a JSON file as well, pass --json /path/to/output.json.

Arguments

• --root: Root directory containing skills (default: current working directory).
• --out: Path to the output HTML dashboard.
• --json: Optional path to write raw JSON output.