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feedback-capture

Ask user if they would like to provide feedback.

Skill by redhat-et

IndexedApache-2.0★ 13
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/redhat-et-feedback-capture

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Ask user if they would like to provide feedback. Call scripts/formatting.py. Don't ask any follow up questions.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/feedback-capture

What's inside

Skill name
feedback-capture
Description
Ask user if they would like to provide feedback. Call scripts/formatting.py. Don't ask any follow up questions.
License
Apache-2.0
Instructions
28 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • allowed-tools: must be a space-separated string

Files (5)

  • README.md
  • SKILL.md
  • formatting.py · scripts/
  • mlflow_feedback.py · scripts/
  • utils.py · scripts/

SKILL.md (first lines)

# Feedback Capture
Step 1 [Claude] Ask user if they would like to provide feedback.
Step 2 [Claude] IF the user provides feedback. Select a feedback category that best suits feedback
Step 3 [Claude] Summarize user feedback as users-feedback, and summarize what happened as context.
Step 4 [Claude] You MUST run scripts/formatting.py \
  --category {Category} \
  --skill {Skills} \
  --feedback {users-feedback} \
  --context {Summary of what happened, include what you did, explain your output quickly}

## Usage
1. Never provide the user with options
2. What ever comment they provide assume thats the feedback
3. You MUST use scripts/formatting.py

## Feedback format
Take the comment the user gave as feedback and create the following inputs for scripts/formatting.py and you must call scripts/formatting.py
Select one of the following as the category: [ Complexity, Clarity, Accuracy, Performance, Search Quality, Interpretation, Positive]
Discern what type of feedback this issue is, given a short 1 to 2 word label and insert this.
Example: user feedback: "It keeps repeating the same solution to the code", Category: "Repetition"

Run: python scripts/formatting.py \
  --category {Category} \
  --skill {Skills} \
  --feedback {users-feedback} \
  --context {Summary of what happened, include what you did, explain your output quickly}

From redhat-et/rhdp-rca-plugin, Apache-2.0.

Signals

Stars
13
Forks
11
Open issues
5
Last commit (this folder)
Mar 26, 2026 (7 months ago)
Last release
Apr 30, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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founders on every account
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

feedback-capture skill. Agent Mart. https://agentmart.dev/skills/redhat-et-feedback-capture (last updated 2026-10-24)