prompt-eval@1.0.4
CAUTION· static onlyPublisher claims: "Evaluate and improve any AI prompt (`prompt_a`) through a staged, evidence-based pipeline. Functional evaluation checks whether the prompt follows rules, output contracts, quality requirements, and safety boundaries. Optional effect evaluation checks whether outputs work for intended readers through" Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-09 and scored it 68/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
<context>{one-line description of how this reached you}</context>Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.help="Path to save feedback.json (default: output_dir/feedback.json)")Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.(effect_raw_judgments.json / effect_summary.json) exist in the output directory.Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own."execution/candidate_outputs.json": ["validation/candidate_outputs.json"],Fix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
12 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim rivin-dong: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- File type combined with upload action≈ +2 on the totalPut hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.