debug-ingestion
debug-ingestion is an Observability & incident response skill for AI agents, published by ggozad in the haiku.rag repository on GitHub. Skillspace rates debug-ingestion D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Debug haiku.rag ingestion in Logfire. Use when asked to look at Logfire for ingestion, find failed or dead ingestion jobs, investigate retries or circuit-breaker events, trace a document through convert/chunk/embed/store, find which docling-serve instance served a request, spot slow conversions, or tell concurrent ingesters apart. Drives the Logfire MCP against the `haiku-ingester` service.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 547
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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