llm-tech-report-maintenance
llm-tech-report-maintenance is a Docs writing & content skill for AI agents, published by ChenZiHong-Gavin in the llm-tech-report repository on GitHub. Skillspace rates llm-tech-report-maintenance D (61/100) and it passed the safety scan; the rating is based on static analysis only.
Add, update, validate, or fix entries in the llm-tech-report repository's README.md (and README_CN.md). Use when the user wants to add a new model report or company section, fix a broken report link, batch-update multiple reports, or verify the data follows the repo's table schema and contribution rules. Works with links only — never downloads or reads PDF content.
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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