aris-training-check
Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.
68
85%
Does it follow best practices?
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Adds up to 20 points to the overall score
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Medium
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
W013: Attempt to modify system services in skill instructions.
What this means
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
Why it was flagged
The skill explicitly instructs the agent to autonomously create/modify CronCreate jobs ("Just set it") and to kill training sessions (stop processes), and includes SSH commands to read logs — all actions that modify the host's state without user confirmation.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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 SKILL.md Step 1 (“Read WandB Metrics”), the runtime reads training history from a user-provided Weights & Biases run via wandb.Api().run("<entity>/<project>/<run_id>") and run.history(), so outsider-authored metric text/fields from that run can be ingested.
- Repository
- OpenLAIR/dr-claw
- Commit
6da7f7c
- Audited
- Security analysis
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