official-performance-evaluation-cycle
official-performance-evaluation-cycle is a Performance & employee relations skill for AI agents, published by baojie in the shiji-kb repository on GitHub. Skillspace rates official-performance-evaluation-cycle D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Use when evaluating official performance or deciding promotions and demotions. Implements a three-year cycle assessment over nine years, using documented achievements to determine advancement (陟) or removal (绌).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 2,758
Placed #5 of 6 in the judged category final for Performance & employee relations.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #5 of 6 in the judged category final for Performance & employee relations.
- Trigger
50 50 - Instructions
55 55 - Specificity
30 30 - Safety
55 55 - Disclosure
40 40 - Maintenance
30 30
A rigid nine-year classical evaluation cadence with clean step structure but no concrete modern technique and no fairness/due-process safeguards for demotion decisions.
Not checked yet
- 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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