read-doc
read-doc is a Doc lookup & research skill for AI agents, published by hathach in the tinyusb repository on GitHub. Skillspace rates read-doc D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when you need authoritative hardware/protocol facts from a primary source rather than model memory — an MCU/peripheral datasheet, reference manual (RM/TRM), errata, pinout, register/bitfield layout, memory map, schematic, or the USB spec — before answering register/electrical/timing/protocol questions from training knowledge or the web; or when the user asks to read/open/look up a manual, datasheet, book, or PDF/EPUB from their Calibre library. Requires a local Calibre library at ~/Documents/calibre-library; no-ops if absent.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 7,091
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
- Not declared. Check the repository before reusing it.
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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