evaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
68
82%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The skill contains commands that fetch and run external code at runtime—for example pulling and running the Docker image ghcr.io/bigcode-project/evaluation-harness-multiple (docker pull/run) and cloning then installing the repository via git clone https://github.com/bigcode-project/bigcode-evaluation-harness.git followed by pip install -e ., which fetch and execute remote code.
- Repository
- foryourhealth111-pixel/Vibe-Skills
- Commit
f627ab5
- Audited
- Security analysis
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