Agent skill · Code Review & Quality

han-feedback

Capture structured feedback on the Han skills and agents used in the current session and optionally post it as a GitHub issue to testdouble/han. Use at the end of any session where one or more han-* skills or agents ran, to rate a run, log what worked and what didn't, or submit observations for maintainers. Does not review code, investigate bugs, or research options; use code-review, investigate, or research for those. Does not provide feedback on skills or agents from non-Han plugins.

testdoublegithub.com/testdoubleGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add testdouble/han --skill han-feedback --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 15 KB
Bundled scripts: none
Allowed tools: ReadWriteBash(ls*)Bash(mkdir*)Bash(gh*)Bash(date*)
Path: han-feedback/skills/han-feedback/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 154
Language: Shell

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Project Context - Today's date: !`date +%Y-%m-%d` - personal config directory: !`echo "${CLAUDE_CONFIG_DIR:-$HOME/.claude}"` - project .han/config.md: !`cat .han/config.md 2>/dev/null || echo ""` As your first action, use the Read tool on `.han/config.md` inside the `personal config directory` path above. A read that returns no file is no personal configuration: continue silently. When that file or the `project .han/config.md` probe supplies content, apply it per [config-rule.md](../../references/config-rule.md), which governs precedence between the two files, relative-path resolution, and what to do with a file that reads but cannot be used. # Capture Feedback ## Operating Principles - _*The whole han-* family is in scope._* Capture skills and agents from every Han plugin (`han-core`, `han-planning`, `han-coding`, `han-github`, `han-reporting`, `han-feedback`, and any future `han-*` plugin). Skills and agents from non-Han plugins are out of scope. - **Invocations count, not completions.** A skill or agent is considered used if it appeared in the session, regardless of whether it finished or was cancelled. Feedback on a partial run is still feedback. - **Agents count even when a

What's inside
Steps it walks through
  1. Project Context
  2. Operating Principles
  3. Step 1: Identify Han skills and agents used this session
  4. Step 2: Create the feedback directory if it does not exist
  5. Step 3: Check for existing feedback today
  6. Step 4: Determine the filename
  7. Step 5: Read the format reference
  8. Step 6: Gather feedback
  9. Step 7: Write or update the feedback file
  10. Step 8: Verify the file is non-empty
  11. Step 9: Review for sensitive content
  12. Step 10: Offer to post as a GitHub issue
More from han
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About this skill
What does the han-feedback skill do?

Capture structured feedback on the Han skills and agents used in the current session and optionally post it as a GitHub issue to testdouble/han. Use at the end of any session where one or more han-* skills or agents ran, to rate a run, log what worked and what didn't, or submit observations for maintainers. Does not review code, investigate bugs, or research options; use code-review, investigate, or research for those. Does not provide feedback on skills or agents from non-Han plugins.

How do I install it?

Run `npx skills add testdouble/han --skill han-feedback --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From testdouble/han, a repository with 154 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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