diverse-talent-recruitment
diverse-talent-recruitment is a Job descriptions & sourcing skill for AI agents, published by baojie in the shiji-kb repository on GitHub. Skillspace rates diverse-talent-recruitment C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Use when recruiting team members or building an organization for unpredictable environments. Based on Mengchang Jun's (孟尝君) acceptance of unconventional talents — including 'dog thieves' and 'rooster imitators' — who proved invaluable when conventional skills failed in crisis.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 2,300
Placed #6 of 6 in the judged category final for Job descriptions & sourcing.
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 hiring philosophy from a historical anecdote; any organisation
Judge review
Placed #6 of 6 in the judged category final for Job descriptions & sourcing.
- Trigger
45 45 - Instructions
30 30 - Specificity
20 20 - Safety
55 55 - Disclosure
50 50 - Maintenance
30 30
A hiring-philosophy anecdote with no commands, tools, or verifiable procedure - reads as management advice rather than an executable skill.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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