opc-value-proposition
opc-value-proposition is a Positioning & messaging skill for AI agents, published by easychen in the opc-methodology repository on GitHub. Skillspace rates opc-value-proposition C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Design value propositions for candidate customer segments and help the user choose the strongest one. Use when Codex needs to explain jobs, pains, and gains when needed, check niche-positioning prerequisites, ask one question at a time, present multiple value-proposition options, and write user-confirmed outputs into `opc-doc/`.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 16,213
Placed #3 of 6 in the judged category final for Positioning & messaging.
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 value-proposition design methodology, writes to working directory
Judge review
Placed #3 of 6 in the judged category final for Positioning & messaging.
- Trigger
68 68 - Instructions
92 92 - Specificity
92 92 - Safety
92 92 - Disclosure
68 68 - Maintenance
85 85
Extremely complete stage script with an exact persistence-checkpoint JSON schema and exception handling, held back only by a trigger description that reads as an internal step list rather than a clean use-when statement.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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