feedback

feedback is a skill for Claude Code, Codex from Hmbown/Codewhale. It costs 0 tokens per session (268 once invoked), scanned A, original, MIT.

A feedback-reporting tool for preparing and, with approval, filing a bug report or feature request about Codewhale as a GitHub issue.

In plain words
What is it for?
It helps record the version, command, expected result, actual result, and reproduction steps, search for similar open issues, and submit the approved report.
Why use it?
It helps turn a vague problem into a reproducible report and avoids filing duplicates or exposing private information.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for codewhale. Also seen: built for codewhale.

Good fit It helps record the version, command, expected result, actual result, and reproduction steps, search for similar open issues, and submit the approved report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hmbown/codewhale/feedback
About the project

Codewhale is an open-source coding agent that runs in the terminal and can read repositories, edit files, execute commands, and inspect results while pursuing a task. Developers use it with hosted providers or local models, with controls for how much access it receives.

Hmbown/Codewhale · 41,027 stars · on GitHub · codewhale.net

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Hmbown/Codewhale --skill feedback
Clone the repo
git clone --depth 1 https://github.com/Hmbown/Codewhale

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/hmbown/codewhale/feedback/github.svg)](https://agentmods.dev/skills/hmbown/codewhale/feedback)
Your own site
<a href="https://agentmods.dev/skills/hmbown/codewhale/feedback"><img src="https://agentmods.dev/badge/skills/hmbown/codewhale/feedback/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/hmbown/codewhale/feedback"><img src="https://agentmods.dev/badge/skills/hmbown/codewhale/feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 268 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00268
Opus 5.5 $0.00000 $0.00107
Sonnet 5 $0.00000 $0.00054
Haiku 4.5 $0.00000 $0.00027

Measured 4d ago against content hash 2f42c79966eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-23, from the pricing page.

Security

Grade A, and why

feedback scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

crates/tui/assets/skills/feedback/SKILL.md · 29 lines

What it actually says


name: feedback description: Report a Codewhale bug or idea as a GitHub issue. Use when: codewhale bug, feature request, feedback on codewhale, report an issue, or this should work differently. invocation: model+user

Feedback

When to use

The user hit a Codewhale bug or wants Codewhale to do something new, and wants it reported upstream.

Setup

Requires the gh CLI, authenticated (gh auth status). Fail loud when it is missing — fall back to printing the issue text for manual filing.

Workflow

  1. Reproduce or pin the behavior first: version (codewhale --version), command, expected vs actual, minimal steps.
  2. Draft the issue (title, repro, expected, actual, version) and read it back.
  3. File only with explicit approval: gh issue create -R Hmbown/Codewhale --title "..." --body "...".
  4. Report the issue URL back.

Non-goals

  • Do not file without showing the user the exact title and body first.
  • Do not file duplicates — search open issues for the same report first.
  • Do not include secrets, tokens, or private data in the issue body.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 29 lines · 0 tokens per session scan A 2f42c79966eb

Subscribe to this mod's changes

feedback is a skill published in the GitHub repository Hmbown/Codewhale (41,027 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 268 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-19.