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Skillv0.1.0

ClawScan security

dc-power-flow · ClawHub's context-aware review of the artifact, metadata, and declared behavior.

Scanner verdict

BenignApr 15, 2026, 4:04 AM
Verdict
benign
Confidence
high
Model
gpt-5-mini
Summary
The skill's code and instructions are consistent with its stated purpose (building susceptance matrices and computing DC line flows); it requires no credentials, no installs, and contains no network or privileged actions.
Guidance
This skill appears to do exactly what it says: compute susceptance matrices and DC line flows using a local JSON network file. Before using, inspect or run the included scripts in a safe environment and only provide trusted network JSON files (the script reads a local file given on the command line). No network calls or secret access are present, but standard runtime checks apply — validate input data (nonzero reactances, sensible RATE_A values) to avoid runtime errors or misleading results.

Review Dimensions

Purpose & Capability
okName/description (DC power flow, susceptance matrices, line flows) match the included SKILL.md and the single Python helper. The requested resources (none) are proportionate to the stated functionality.
Instruction Scope
okSKILL.md provides domain-specific formulas, code snippets, and a single runtime step (run scripts/build_b_matrix.py). It only references local data structures and a local JSON input file; it does not instruct the agent to read unrelated files, call external endpoints, or access secrets.
Install Mechanism
okNo install spec; the skill is instruction-only with a small local Python script. Nothing is downloaded or written to disk by an installer step.
Credentials
okNo environment variables, credentials, or config paths are required. The code reads a local JSON network file passed as an argument, which is appropriate for the task.
Persistence & Privilege
okalways is false and the skill is user-invocable. There is no indication the skill modifies system or other-skill settings or requests permanent presence.