Pa Eval

v1.0.1

Evaluate PA performance through structured scoring, owner feedback analysis, and behavioral benchmarking. Use when: conducting a weekly/monthly PA performanc...

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byNetanel Abergel@netanel-abergel
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The name/description (PA performance scoring, feedback, benchmarks) match the instructions: templates, weekly/monthly aggregation, and simple benchmark calculations. No unrelated binaries, cloud credentials, or surprising permissions are requested.
Instruction Scope
Instructions tell the agent to create weekly eval files under $HOME/.openclaw/workspace/.learnings/eval, score dimensions, run monthly benchmarks, and 'log feedback signals automatically when detected.' The file writes and scoring are appropriate. The only ambiguity: 'log automatically when detected' and reaction/text signals assume the agent can monitor owner messages/reactions — the SKILL.md doesn't limit channels or explain how signals are detected. Confirm monitoring scope and privacy before enabling automatic logging.
Install Mechanism
Instruction-only skill with no install spec, no downloads, and no code files to execute beyond the provided small shell snippet; lowest-risk installation footprint.
Credentials
No environment variables, credentials, or config paths are requested. The requested filesystem write is a single per-user workspace path under $HOME, which is proportionate to the stated purpose.
Persistence & Privilege
Metadata sets always:false (not forced into all agents). The doc repeatedly says 'Run automatically' (every 7 days, 'log immediately'), which implies autonomous scheduling or event monitoring — this is reasonable for the skill's purpose but requires you to accept that the agent will autonomously create logs and monitor owner interactions if enabled. Consider limiting triggers or requiring explicit owner confirmation before automatic runs.
Assessment
This skill appears coherent and minimal: it only creates local eval files and scores PA performance. Before installing, confirm two operational details: (1) what channels/events the agent will monitor to detect owner feedback (so you avoid unintended message monitoring), and (2) file location/retention and permissions for $HOME/.openclaw/workspace/.learnings/eval. If you want stricter control, disable automatic runs and require manual invocation for weekly/monthly reports.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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