dd-feedback

dd-feedback is a skill for Claude Code from CaesiumY/dding-dong. It costs 88 tokens per session (1,779 once invoked), scanned A, original, MIT.

A skill for turning feedback about dding-dong into a structured GitHub issue. It handles bug reports, feature requests, questions, and suggestions.

In plain words
What is it for?
Use it when someone wants to report a problem, request a feature, ask a question, or suggest an improvement for dding-dong.
Why use it?
It organizes the feedback and checks that the GitHub command-line tool is ready before creating an issue.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the dding-dong plugin — 12 skills, 4 hooks shipped together

Good fit Use it when someone wants to report a problem, request a feature, ask a question, or suggest an improvement for dding-dong.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add CaesiumY/dding-dong
Claude Code
/plugin install dding-dong

Made for: Claude Code.

Or install dding-dong, the plugin that ships this one along with the rest of its 12 skills, 4 hooks.

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 dd-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/caesiumy/dding-dong/dd-feedback.svg)](https://agentmods.dev/skills/caesiumy/dding-dong/dd-feedback)
Your own site
<a href="https://agentmods.dev/skills/caesiumy/dding-dong/dd-feedback"><img src="https://agentmods.dev/badge/skills/caesiumy/dding-dong/dd-feedback.svg" alt="Measured on agentmods" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,779 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 $0.00088 $0.01779
Opus 5 $0.00044 $0.00890
Sonnet 5 $0.00018 $0.00356
Haiku 4.5 $0.00009 $0.00178

Measured 7d ago against content hash 15a8e1428ec3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

dd-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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/collect-context.mjs), 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/dd-feedback/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dding-dong 피드백 제출

사용자의 피드백을 자연어로 받아 자동 분류하고 GitHub 이슈를 생성합니다.

1단계: 입력 수집

$ARGUMENTS가 비어있지 않으면 해당 텍스트를 피드백으로 사용합니다.

$ARGUMENTS가 비어있으면 사용자에게 질문합니다: "dding-dong에 대한 피드백을 자유롭게 입력해주세요. (버그, 기능 요청, 질문 등 무엇이든 괜찮습니다)"

사용자의 응답을 피드백 텍스트로 사용합니다.

2단계: GitHub CLI 사전 검증

gh auth status 2>&1 && echo "GH_READY" || echo "GH_NOT_READY"

GH_NOT_READY인 경우 아래 메시지를 안내하고 종료합니다:

GitHub CLI(gh)가 설치되지 않았거나 인증되지 않았습니다.

피드백을 제출하려면:
1. gh CLI 설치: https://cli.github.com/
2. 인증: gh auth login

또는 직접 이슈를 작성해주세요:
https://github.com/CaesiumY/dding-dong/issues/new

3단계: 컨텍스트 수집

저장소 정보와 환경 정보를 한 번에 수집합니다:

node "${CLAUDE_PLUGIN_ROOT}/skills/dd-feedback/scripts/collect-context.mjs" --cwd "$(pwd)"

JSON 결과를 파싱하여 이후 단계에서 사용합니다:

  • repository: 대상 저장소 (예: CaesiumY/dding-dong). null이면 기본값 CaesiumY/dding-dong 사용.
  • environment: 환경 정보 객체. error 필드가 있으면 환경 정보를 "감지 불가"로 표시하고 계속 진행.

4단계: 자동 분류 및 구조화

1단계에서 수집한 피드백 텍스트를 분석하여 아래 항목을 결정합니다.

카테고리 판별

  • 오류, 안 됨, 안 나옴, 깨짐, 실패, crash, error, fail, broken, not working → bug
  • 추가, 지원, 있으면 좋겠, 제안, 개선, want, suggest, add, feature, improve → enhancement
  • 어떻게, 왜, 방법, 질문, 궁금, how, why, question, what does → question
  • 불확실하면 → enhancement (기본값)

우선순위 추정

  • 긴급, 심각, 전혀 안됨, 완전히, critical, urgent, blocker, completely broken → high
  • 사소한, 미미한, 작은, cosmetic, minor, tiny, small → low
  • 그 외 일반적 피드백 → medium (기본값)

제목 생성

사용자 입력에서 핵심 문제 또는 요청을 한 줄로 요약합니다.

  • 50자 이내
  • 한국어/영어 모두 허용
  • 이슈 제목으로 적합한 간결한 형태

이슈 본문 구성

버그 리포트 (bug) 본문:

## 설명
[사용자 입력을 구조화하여 정리]

## 재현 단계
[텍스트에서 재현 단계가 추출되면 기술, 없으면 "제공되지 않음"]

## 환경 정보
| 항목 | 값 |
|------|-----|
| 플랫폼 | {platform} |
| 오디오 플레이어 | {audioPlayer} |
| 알림 도구 | {notifier} |
| 사운드 팩 | {soundPack} |
| 볼륨 | {volume} |
| 언어 | {language} |
| Node.js | {nodeVersion} |

---
*이 이슈는 `/dding-dong:dd-feedback`을 통해 자동 생성되었습니다.*

기능 요청 (enhancement) / 질문 (question) 본문:

## 설명
[사용자 입력을 구조화하여 정리]

## 환경 정보
| 항목 | 값 |
|------|-----|
| 플랫폼 | {platform} |
| Node.js | {nodeVersion} |

---
*이 이슈는 `/dding-dong:dd-feedback`을 통해 자동 생성되었습니다.*

Read the full file on GitHub · 212 lines

Files

What ships with it

1 file 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. 7d ago First seen · 212 lines · 88 tokens per session scan A 15a8e1428ec3

Subscribe to this mod's changes

dd-feedback is a skill published in the GitHub repository CaesiumY/dding-dong (2 stars, last pushed 6mo ago), licensed MIT. It adds 88 tokens to every session and 1,779 once invoked, about $0.0004 per session on Opus 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.

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