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Skillv0.1.0
ClawScan security
simulation-metrics · ClawHub's context-aware review of the artifact, metadata, and declared behavior.
Scanner verdict
BenignApr 11, 2026, 10:20 PM
- Verdict
- benign
- Confidence
- high
- Model
- gpt-5-mini
- Summary
- This is an instruction-only skill that provides simple Python functions to compute common control-system metrics; the requirements and instructions are coherent with its stated purpose and it does not request extra credentials or install anything.
- Guidance
- This skill is low-risk and self-contained, but test it before using in safety-critical workflows: check behavior on edge cases (empty arrays, very small datasets), handle target == 0 (overshoot function divides by target), and consider measurement noise and sampling rate when computing settling time and steady-state error. Because it’s instruction-only, it won’t install software or access credentials, but always validate outputs and add input validation (e.g., check array lengths, target nonzero) before relying on results.
Review Dimensions
- Purpose & Capability
- okSkill name and description match the content: SKILL.md contains straightforward Python implementations of rise time, overshoot, steady-state error, and settling time — no unrelated capabilities, binaries, or credentials are requested.
- Instruction Scope
- okInstructions contain only pure-Python helper functions and a small usage example operating on provided time/value lists and a target; they do not read files, access environment variables, or transmit data externally.
- Install Mechanism
- okNo install spec and no code files beyond SKILL.md (instruction-only). Nothing is downloaded or written to disk by the skill itself.
- Credentials
- okThe skill requires no environment variables, credentials, or config paths — this is proportional for a local metric-calculation helper.
- Persistence & Privilege
- okalways is false and the skill does not request persistent presence or modify system settings; autonomous invocation is allowed by platform default but presents no extra risk given the skill's narrow scope.
