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Skillv1.0.0

ClawScan security

Agent Workflow Enforcer · ClawHub's context-aware review of the artifact, metadata, and declared behavior.

Scanner verdict

SuspiciousMar 1, 2026, 3:35 AM
Verdict
suspicious
Confidence
medium
Model
gpt-5-mini
Summary
The skill's purpose and the included gate script are coherent and low-risk, but the runtime instructions reference additional scripts and files that are not present and the source/homepage look like placeholders — these inconsistencies merit caution before installing.
Guidance
This skill appears to do what it says: gate checks and enforcing output-format conventions. However: - SKILL.md references create_style_context.py and detect_learning.py but only scripts/gate.py is included. Ask the publisher for the missing scripts or inspect them before running anything that would create or learn from files. - The homepage/source points to an example GitHub URL (github.com/example/...), and the package author is anonymous; prefer code from a real, trusted repo or request provenance. - The gate script itself is harmless (prints checklists) but the missing scripts could perform file writes or network activity — validate their contents and run in a sandbox first. Practical next steps before installing/using: 1. Request the full repository or the missing script files and review them for file I/O and network calls. 2. Test locally in an isolated environment (or container) to observe any file writes (style-context.yaml, learnings.jsonl) and ensure no unexpected network requests occur. 3. If you will add the suggested snippets to AGENTS.md or system prompts, do so intentionally and keep backups of existing prompts/configs. If you can't obtain the missing scripts and provenance, treat the package as incomplete and avoid running anything that would modify agent/system files.

Review Dimensions

Purpose & Capability
okName/description (enforcing agent workflows with gates, output format, and style persistence) match the included gate.py and the SKILL.md instructions. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
concernSKILL.md instructs the agent to run several scripts (gate.py, create_style_context.py, detect_learning.py) and to add enforced blocks to AGENTS.md/system prompts. Only gate.py is present in the package; create_style_context.py and detect_learning.py are referenced but not included. The instructions also ask agents to read/write local files (style-context.yaml, learnings.jsonl) and to modify AGENTS.md/system prompts — these actions are expected for the stated purpose but you should confirm the missing scripts and file-write behavior before use.
Install Mechanism
okNo install spec is provided and the skill is instruction-first with one small Python script. Nothing is downloaded or installed by the package itself.
Credentials
okThe skill declares no required environment variables, credentials, or config paths. The gate.py script only prints checklists and does not read secrets or network resources.
Persistence & Privilege
okFlags show always=false and the skill is user-invocable; it does not request permanent agent presence. The SKILL.md recommends editing AGENTS.md / system prompts, which is a user action and not a stealthy privilege request.