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Skillv1.0.1
ClawScan security
Ai Agent Helper Moss · ClawHub's context-aware review of the artifact, metadata, and declared behavior.
Scanner verdict
BenignMar 14, 2026, 3:40 AM
- Verdict
- benign
- Confidence
- high
- Model
- gpt-5-mini
- Summary
- Instruction-only prompt/agent-engineering helper that asks for no installs, credentials, or filesystem access and appears to do what its description says.
- Guidance
- This is an instruction-only skill for prompt engineering and agent-loop design and does not request secrets or install code, so it's internally coherent and low-risk. Before installing, consider: 1) the skill's source and author are unknown—prefer skills with a verifiable homepage or trusted publisher; 2) the _meta.json metadata differs from the registry metadata (ownerId/slug/version mismatch), which is likely a packaging mistake but worth noting; 3) never paste sensitive credentials or private data into prompts or examples provided to the skill; and 4) if you need stronger assurance, ask the publisher for a canonical source or a signed release.
Review Dimensions
- Purpose & Capability
- noteThe skill's name, description, and runtime instructions all describe prompt engineering and agent-loop design; no extra capabilities or credentials are requested. Minor packaging inconsistencies exist (different ownerId/slug/version in _meta.json vs registry metadata), which look like a metadata error rather than malicious behavior.
- Instruction Scope
- okSKILL.md contains bounded guidance for prompt structure, decomposition, and agent loop patterns. It does not instruct the agent to read files, access environment variables, contact external endpoints, or exfiltrate data.
- Install Mechanism
- okNo install spec and no code files — instruction-only. This minimizes disk/network risk.
- Credentials
- okNo environment variables, credentials, or config paths are requested. This is proportional to a prompt-engineering helper.
- Persistence & Privilege
- okNo 'always: true' or other elevated persistence requested; default agent invocation settings are used.
