accepting-fair-weather-followers
accepting-fair-weather-followers is a Coaching, career development & culture skill for AI agents, published by baojie in the shiji-kb repository on GitHub. Skillspace rates accepting-fair-weather-followers C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when managing follower loyalty during adversity or processing feelings of betrayal after supporters depart. Applies the marketplace analogy (dawn crowds vs. dusk emptiness) to reframe departures as natural human behavior rather than personal betrayal, enabling magnanimous leadership.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 2,300
Unproven: rated by static analysis only, not yet compared head-to-head.
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 leadership philosophy framework, reusable anywhere
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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