seocho-e2e
seocho-e2e is a RAG & retrieval skill for AI agents, published by tteon in the seocho repository on GitHub. Skillspace rates seocho-e2e D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Author and run SEOCHO end-to-end YAML runs (seocho run / seocho sweep) over a user's documents — scaffold the ontology + run spec, dry-run to validate, execute index→query→report, and compare configuration variants. Use when the user wants to index their own documents into SEOCHO and ask questions, build/edit a seocho.run.yaml or seocho.sweep.yaml, compare models/enforcement/agent patterns, or run an ontology-aligned graph-RAG e2e without writing Python.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 58
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
- Low-risk patterns
- License
- MIT
- 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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