ingestion_agent_doctor
ingestion_agent_doctor is a System & environment troubleshooting skill for AI agents, published by nvidia-isaac in the video_to_data repository on GitHub. Skillspace rates ingestion_agent_doctor D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnostic checklist for the Video Ingestion Agent environment — run when something is broken, before a first ingest, or as a sanity check. Use this skill whenever the user reports the pipeline isn't working, the vLLM server won't start or crashes during model loading, gets `CUDA out of memory` during ingestion, sees `401 Unauthorized` from HuggingFace, the webapp fails to launch, retrieval returns no results despite a populated database, or asks generally to "diagnose", "debug", "verify", or "check" the video ingestion setup. Also trigger on phrases like "ingestion environment broken", "is my install correct", "vllm server health", or descriptions of half-failing runs (`runs/<ts>/` directory exists but `report.html` is missing).
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 57
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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