ingest-source
ingest-source is a Personal knowledge & notes skill for AI agents, published by vlasenkoalexey in the tpu_performance_autoresearch_wiki repository on GitHub. Skillspace rates ingest-source D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Ingest a paper, article, blog post, talk, or documentation page into the wiki. Encodes SCHEMA's INGEST-SOURCE operation as a callable skill. Reads the raw source (PDF/HTML under raw/sources/ or fetched from URL), confirms emphasis with the human before writing, files wiki/sources/<year>-<slug>.md, updates connections (concepts/codebases/models that touched the source), generates hypothesis candidates if applicable, and updates wiki/index.md + wiki/log.md per the operations contract. Invoke when ingesting any new perf-relevant source — the discussion step prevents misemphasis and the connection updates keep the wiki graph coherent. NOT for codebases (use INGEST-CODEBASE / a future /ingest-codebase skill) or per-experiment notes (those live in wiki/experiments/).
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 45
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
- 88 / 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
- Category is a classifier prediction; no model has read this skill 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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