experiment-queue
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention. Use when user says "batch experiments", "队列实验", "run grid", "multi-seed sweep", "auto-chain experiments", or when /run-experiment is insufficient for 10+ jobs that need orchestration.
86%
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Low
Low-risk findings worth noting
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
In `queue_manager.py` the scheduler directly ingests free-text values from an outsider-authored `manifest.json` (parsed from the `--manifest` file) and uses fields like `job["cmd"]` and `expected_output`/log scanning at runtime to launch and monitor jobs, so an outsider could submit a manifest/grid description into the queue input path the workflow consumes.
- Revision
18bceb3
- Audited
- Security analysis
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