run-deep-swe
Score any AI model on the DeepSWE coding-agent benchmark via the OpenRouter API. Use when the user wants an independent, reproducible coding-agent eval — "run DeepSWE", "benchmark this model on DeepSWE", "score model X on the coding benchmark", "test a model via OpenRouter on DeepSWE", or to verify vendor-reported coding scores. Covers setup, the OpenRouter wiring for mini-swe-agent, single-task / subset / full 113-task runs, and leaderboard submission.
80
100%
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Advisory
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Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Potentially malicious external URL detected (high risk: 0.80). The instructions tell the user to git-clone and install code from external GitHub repositories (https://github.com/datacurve-ai/deep-swe and git+https://github.com/datacurve-ai/pier), which fetches remote code that will be executed as part of setup/runtime (pier runs use that code), so these are required runtime dependencies that execute remote code.
- Repository
- mishatojk/davidskills
- Commit
66860fb
- Audited
- Security analysis
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