product-methodology
product-methodology is a Prioritisation & product planning skill for AI agents, published by magnus919 in the hermes-profiles repository on GitHub. Skillspace rates product-methodology C (78/100) and it passed the safety scan; the rating is based on static analysis only.
Product management frameworks embedded in references/: RICE, MoSCoW, Opportunity Solution Trees, customer interviews, spec template, stakeholder communication, decision log. All output is organized as an artifact pyramid with full SOURCES navigation at every layer.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 59
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
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Standard product management frameworks; RICE, MoSCoW, interviews
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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