testland/openai-evals
Authors and runs OpenAI Evals - Python framework + registry for evaluating LLMs and LLM-backed systems with `oaieval {model} {eval-name}` CLI; supports template-based evals (Match / Includes / FuzzyMatch / ModelBasedClassify) defined in `evals/registry/evals/*.yaml` against JSONL data files in `evals/registry/data/`, plus custom Python eval classes implementing the Eval interface. Use when the user works with the openai/evals repo, needs the OpenAI-curated eval registry, or contributes new evals via PR to the registry.
80
100%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
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's install instructions explicitly run "git clone https://github.com/openai/evals.git" followed by "pip install -e .", which fetches remote code from https://github.com/openai/evals.git and executes it locally (install/run), so the external repository controls code executed during setup.
- Audited
- Security analysis