qmd
qmd is a RAG & retrieval skill for AI agents, published by hashicorp in the web-unified-docs repository on GitHub. Skillspace rates qmd D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when working on documentation, architecture documents, or technical writing and you need to search for relevant resources, fact-check information, find tutorials, or gather context. This skill searches a local SQLite database using the qmd command-line tool to find related content, examples, best practices, and reference materials that can inform the current document being worked on. Activate when: - The user is editing or creating documentation - You need to verify technical accuracy - You want to find related examples or tutorials - You need context about architectural patterns or best practices - The user mentions "check the database", "search qmd", or "find resources"
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 75
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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