walrus-qna
walrus-qna is a Smart contracts & Web3 skill for AI agents, published by MystenLabs in the Walrus-Onboarding repository on GitHub. Skillspace rates walrus-qna D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Answer questions about the Walrus Training Program course content. Uses multi-agent search and AskUserQuestion for question refinement. Provides citations for all claims. Only uses course content as source. Use when: user asks about Walrus concepts, CLI, SDK, architecture, storage, epochs, quilts, performance, failure handling, or any topic covered in the 14-module training program.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Answers only from this repo's course content, hardcoded repo root
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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