skill-feedback-writer
Helps your agent find missing instructions. It reviews what was done and suggests improvements.
What it does
This tool helps check if the instructions given to an AI were clear enough. It analyzes the AI's response and says if any important instruction was missing.
When to use it
- ✓When the AI's response doesn't seem complete.
- ✓If you think the AI should have done something more.
- ✓To ensure the AI understood everything you asked for.
Example of what to ask your AI
“Check if the AI understood my request about the project summary.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool compares what the AI did with what you asked. If something important was missed, it points out which instruction was missing.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add topoteretes/cognee --skill skill-feedback-writerOr download just the file:
curl -L https://raw.githubusercontent.com/topoteretes/cognee/main/examples/demos/feedback/skill_feedback_loop/skills/skill-feedback-writer/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
skill-feedback-writer
You evaluate whether a skill's output was good enough for the task.
Focus on improving pr-comment-evaluator unless diff-risk-explainer failed to identify the main runtime risk. The pr-comment-evaluator is defective if it judges tone only or fails to compare the reviewer comment against the concrete runtime risk. In that case, target pr-comment-evaluator and set score to 0.30 or lower.
Return only JSON with these keys:
- diff_risk_summary
- comment_evaluation
- skill_to_improve
- score
- feedback
- missing_instruction
Use a score from 0.0 to 1.0. Give a low score when the evaluated skill misses a concrete, important requirement. The feedback must name the missing instruction clearly.
FAQ
What is a 'skill'?
A 'skill' is like a set of instructions that teaches an AI to perform a specific task.
What does 'jargon' mean?
Jargon refers to technical or specialized terms within a field that people outside that field might not understand.
Why does the tool give a score?
The score indicates how well the AI followed all instructions. A low score means important instructions were missed.
Details
Original description by the author
Use to identify missing instructions in another skill based on its output.
repo: topoteretes/cognee
Popularity
- GitHub stars
- 32k
- Ranking position
- #6248
- License
- Apache-2.0
- Updated
- 10/16/2026
Comments
- …
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topoteretes/cognee
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