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AD skill-security

Security checks for installing skills, packages, or plugins. Use BEFORE any `npm install`, `openclaw plugins install`, `clawhub install`, or similar install commands. Also use when reviewing a newly installed skill before first use. Triggered by any install, add, or package addition request.

ClawHub Agent Skills author: sudhindrat v1.0.0 MIT-0 2 files body ≈ 1 199 tokens Open the sourceclawhub.ai↗ analyzed 35 h ago

Security checks for installing skills, packages, or plugins.

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerMarketingAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
78
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Risky intent intent-offensive-security SKILL.md:89
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **AuthTool** — dormant payload, activates on specific natural language prompts, establishes reverse shell

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 43/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (skill-security) differs from the folder (skill-security-scan)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 51 steps
    • 100Execution cost. Instruction body is 1199 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -217 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 292: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 51 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

    External checks

    ClawHub: clean
    This is an instruction-only security checklist for reviewing installs, with no executable code or hidden persistence.
    LLM: benign (high) · VirusTotal: · 29 May 2026