benchmark-methodology
benchmark-methodology is a Competitive intelligence skill for AI agents, published by affaan-m in the ECC repository on GitHub. Skillspace rates benchmark-methodology C (71/100) and it passed the safety scan; a judge model has also reviewed it.
Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client's strategic tension) with explicit 1 to 5 rubrics and a tension-plot. Precedes competitive-report-structure.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 255,679
Placed #3 of 6 in the judged category final for Competitive intelligence.
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Competitive intelligence.
- Trigger
88 88 - Instructions
88 88 - Specificity
92 92 - Safety
90 90 - Disclosure
65 65 - Maintenance
82 82
Rigorous nine-dimension weighted scoring rubric with explicit 1-5 anchors, clearly sequenced between two named sibling skills.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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