opc-dashboard-review
opc-dashboard-review is a Business analysis & reporting skill for AI agents, published by easychen in the opc-methodology repository on GitHub. Skillspace rates opc-dashboard-review C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Review the operating health of a one-person company using lightweight metrics, bottleneck analysis, and stop-loss logic. Use when Codex needs to explain review concepts when needed, verify available outputs, ask one question at a time, present multiple bottleneck hypotheses, and write user-confirmed outputs into `opc-doc/`.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 16,213
Placed #6 of 6 in the judged category final for Business analysis & reporting.
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
- 100 / 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
- Portable: works in any project. General one-person-company review methodology, no repo dependencies
Judge review
Placed #6 of 6 in the judged category final for Business analysis & reporting.
- Trigger
70 70 - Instructions
80 80 - Specificity
60 60 - Safety
92 92 - Disclosure
76 76 - Maintenance
62 62
Sensible one-question-at-a-time bottleneck interview with a real stop condition (no fake review without operating data), but light on concrete analytical technique.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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