giving-feedback
giving-feedback is a Performance & employee relations skill for AI agents, published by RefoundAI in the lenny-skills repository on GitHub. Skillspace rates giving-feedback C (71/100) and it passed the safety scan; a judge model has also reviewed it.
Help users deliver high-impact feedback that drives behavior change while maintaining strong relationships and psychological safety through proven frameworks like GAIN and Radical Candor.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 1,150
Placed #2 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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General feedback-giving framework, GAIN and Radical Candor
Judge review
Placed #2 of 6 in the judged category final for Performance & employee relations.
- Trigger
85 85 - Instructions
78 78 - Specificity
88 88 - Safety
90 90 - Disclosure
58 58 - Maintenance
75 75
Rich, well-attributed quotes and a concrete GAIN framework, docked slightly for name-dropping an undefined 'AI Voice Mode prompt' it never delivers.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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