Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Skill 1.5 ingests outsider-authored free text via user-supplied experiment plan files (e.g., `refine-logs/EXPERIMENT_PLAN.md`, `FINAL_PROPOSAL.md`, and idea-stage docs) that are read at runtime to generate and deploy experiment code, and it can additionally clone `BASE_REPO` (user-provided URL) and read its README/source.
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.
The skill explicitly supports cloning a user-specified GitHub repo at runtime (example URL: https://github.com/org/project) via "git clone <BASE_REPO>" and then implements/executes experiment code from that repo, meaning fetched remote code can be executed on the host.
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