executive-methodology
executive-methodology is a Structured reasoning & decision frameworks skill for AI agents, published by magnus919 in the hermes-profiles repository on GitHub. Skillspace rates executive-methodology C (78/100) and it passed the safety scan; the rating is based on static analysis only.
Shared decision-making and governance methodology for all C-suite profiles. Covers decision frameworks (RAPID, DACI, decision matrices, pre-mortems, red-teaming), strategic thinking patterns (inversion, first principles, second-order effects), stakeholder communication (executive summaries, board decks, strategy memos), and governance frameworks (risk appetite, delegation levels, escalation paths).
- 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
Not checked 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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