feedback-mastery
feedback-mastery is a Performance & employee relations skill for AI agents, published by softaworks in the agent-toolkit repository on GitHub. Skillspace rates feedback-mastery D (66/100) and it passed the safety scan; a judge model has also reviewed it.
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 2,462
Placed #4 of 6 in the judged category final for Performance & employee relations.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Performance & employee relations.
- Trigger
85 85 - Instructions
82 82 - Specificity
78 78 - Safety
90 90 - Disclosure
52 52 - Maintenance
55 55
Concrete SBI examples and accusatory-to-constructive reframing pairs, weakened by unsourced statistics ('60% more likely') and no reference-file offloading for its length.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.