feedback-capture

feedback-capture is a skill for Claude Code from redhat-et/rhdp-rca-plugin. It costs 28 tokens per session (355 once invoked), scanned A, original, Apache-2.0.

A feedback-collection procedure that asks whether the user wants to comment, classifies the comment, and formats a record of the feedback and its context.

In plain words
What is it for?
Use it after an interaction when you need to collect, categorize, summarize, and format user feedback.
Why use it?
It provides a consistent way to capture user reactions without asking extra follow-up questions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the aiops-plugin plugin — 5 skills shipped together

Good fit Use it after an interaction when you need to collect, categorize, summarize, and format user feedback.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/redhat-et/rhdp-rca-plugin/feedback-capture
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 redhat-et/rhdp-rca-plugin --skill feedback-capture
Clone the repo
git clone --depth 1 https://github.com/redhat-et/rhdp-rca-plugin

Made for: Claude Code.

Or install aiops-plugin, the plugin that ships this one along with the rest of its 5 skills.

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-capture

README.md
[![agentmods](https://agentmods.dev/badge/skills/redhat-et/rhdp-rca-plugin/feedback-capture/github.svg)](https://agentmods.dev/skills/redhat-et/rhdp-rca-plugin/feedback-capture)
Your own site
<a href="https://agentmods.dev/skills/redhat-et/rhdp-rca-plugin/feedback-capture"><img src="https://agentmods.dev/badge/skills/redhat-et/rhdp-rca-plugin/feedback-capture/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-capture

Your own site · 80×15
<a href="https://agentmods.dev/skills/redhat-et/rhdp-rca-plugin/feedback-capture"><img src="https://agentmods.dev/badge/skills/redhat-et/rhdp-rca-plugin/feedback-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 355 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 $0.00028 $0.00355
Opus 5.5 $0.00011 $0.00142
Sonnet 5.5 $0.00006 $0.00071
Haiku 4.5 $0.00003 $0.00036

Measured 2mo ago against content hash 99a937f8ea28, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feedback-capture 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 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/formatting.py, scripts/mlflow_feedback.py, scripts/utils.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/feedback-capture/SKILL.md · 35 lines

What it actually says

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}

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 35 lines · 28 tokens per session scan A 99a937f8ea28

Subscribe to this mod's changes

feedback-capture is a skill published in the GitHub repository redhat-et/rhdp-rca-plugin (15 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 355 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

Related

feedback-capture compared with skills from other repositories

feedback-capture next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
feedback-captureredhat-et/rhdp-rca-pluginSkill152mo agoApache-2.0A28Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill100ktodayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k3d agoMITA200Claude Code, Codex
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill315k6d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code