Security audit
Security checks for vulnerabilities and agentic risk
This skill is a small, user-invoked Python coordinator with explicit local JSON input and optional export behavior, and no hidden network access, credential use, persistence, or destructive actions.
Install only if you are comfortable running a local Python helper. Avoid placing secrets or sensitive personal data in task descriptions or subtasks files, and review any exported JSON before sharing it.
The skill invokes a local Python coordinator and documents workflows that can read inputs and export results, but it declares no explicit tool scope or permissions. In an agent ecosystem, missing scope boundaries increases the chance that file read/write happens without clear user visibility or policy enforcement, especially when subtasks and exports may touch sensitive local data.
The skill promotes parallel data collection, multi-agent analysis, and exporting results, but it does not warn users about privacy risks, data propagation across workers, or the possibility of writing sensitive aggregated output to disk. In a coordination skill, parallelization can amplify exposure because the same sensitive prompt or dataset may be replicated to multiple agents and persisted in output artifacts.
