search
search is a RAG & retrieval skill for AI agents, published by sdemyanov in the retriever repository on GitHub. Skillspace rates search F (52/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill whenever the user wants to show, list, view, display, browse, find, search, or otherwise retrieve documents, conversations, emails, chats, threads, messages, files, or attachments from the Retriever collection — including narrowing by keyword, phrase, sender, recipient, date, content type, dataset, Bates range, or any other field — or when the user types "/search", "/search query", "/search clear", "/search --within term", or "/search --fts token". It runs Retriever's search and slash browse commands with structured filters and returns the standard rendered table output.
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 23
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.