do-competitively
do-competitively is a Multi-agent review & consensus skill for AI agents, published by NeoLabHQ in the context-engineering-kit repository on GitHub. Skillspace rates do-competitively F (51/100) and it passed the safety scan; the rating is based on static analysis only.
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
- Grade
- F
- Quality
- 51 / 100
- Safety
- Passed
- GitHub stars
- 1,693
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
- 77 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
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
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