qnn
qnn is a Multi-agent review & consensus skill for AI agents, published by iblameandrew in the open-deepthink repository on GitHub. Skillspace rates qnn D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Launch a Qualitative Neural Network (QNN) — a layered, multi-epoch brainstorm of agent personas that maps divergent strategies before implementation. Use to unstick sticky debugging (deadlock, race, perf cliff, architecture trap) OR to enrich an artifact with higher-feature / higher-nuance options (metrics, APIs, UX, research features) when the local loop is thin or circling. Triggers: /qnn, /qnn-brainstorm, "qnn explore", "brainstorm ways out", "unstuck", "richer features", "solution space", multi-perspective exploration of a coding or design problem.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 150
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
- 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
- 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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