Agent skill

Skill Feedback

by daiki-beppu in daiki-beppu/youtube-automation

A skill your agent uses when 下流チャンネルリポジトリでスキル実行中の不具合・摩擦・改善案を構造化記録するとき、または記録済み feedback を上流 issue に還流するとき。「/skill-feedback」「摩擦を記録」「改善案を残す」「feedback を上流に還流して」「今週の feedback 還流して」で発動。分析の学びは analytics の…

Custom licenceAuto-check: notes

Install Skill Feedback

skills CLI
$ npx skills add daiki-beppu/youtube-automation --skill skill-feedback -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install daiki-beppu/youtube-automation skill-feedback --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/daiki-beppu/youtube-automation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/skill-feedback .claude/skills/skill-feedback && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-feedback
GitHub stars
169
Token cost
~2.8k tokens
SKILL.md length
1,013 words
Files
4 (incl. references)
Skills in repo
21
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when 下流チャンネルリポジトリでスキル実行中の不具合・摩擦・改善案を構造化記録するとき、または記録済み feedback を上流 issue に還流するとき。「/skill-feedback」「摩擦を記録」「改善案を残す」「feedback を上流に還流して」「今週の feedback 還流して」で発動。分析の学びは analytics の…

  • Works in 10 steps: 記録内容を確定 → 追記先を用意 → append-only で 1 行追記 → …
  • SKILL.md covers 前後工程, 成果物, 修飾フラグ and Overview, plus 11 more sections
  • Runs Python scripts from its folder; calls gh and uv

What it does

Skill Feedback is an agent skill from daiki-beppu/youtube-automation. Use when 下流チャンネルリポジトリでスキル実行中の不具合・摩擦・改善案を構造化記録するとき、または記録済み feedback を上流 issue に還流するとき。「/skill-feedback」「摩擦を記録」「改善案を残す」「feedback を上流に還流して」「今週の feedback 還流して」で発動。分析の学びは analytics の analyze / flop mode を使う

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/feedback-entry.schema.json`, `references/upstream-issue-template.md` and `references/validate_feedback.py`).

The repository describes itself as: YouTube チャンネル自動化 共有コア.

Example prompts

  • “/skill-feedback”

Requirements

  • Python 3

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. 記録内容を確定
  2. 追記先を用意
  3. append-only で 1 行追記
  4. 追記後チェック
  5. 前提確認と未還流 entry の一覧提示
  6. 本文案を確認
  7. open issue の重複照合
  8. 最終承認ゲート
  9. issue 起票と直後のログ更新
  10. 完了報告

What it can do on your machine

Read from SKILL.md and the folder at commit 4725876. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • gh
    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh and uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Feedback loads about 2.8k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 1,013 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:122
    - `.env` 由来の値

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,013 words (~2,835 tokens).

“下流チャンネルリポジトリの data/feedback/feedback-log.jsonl に、不具合・摩擦・ 改善案を記録する。または、記録済み entry をユーザー承認後に上流 daiki-beppu/youtube-automation の GitHub issue へ還流する。”

— opening of SKILL.md by daiki-beppu, Custom licence
name
skill-feedback
purpose
振り返る

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (references) in .claude/skills/skill-feedback of daiki-beppu/youtube-automation.

  • SKILL.md
  • references/feedback-entry.schema.json
  • references/upstream-issue-template.md
  • references/validate_feedback.py

Open the folder on GitHubat commit 4725876

Compare with similar skills

Skill Feedback next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Feedback compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Feedback this skilldaiki-beppu/youtube-automation169—~2.8kAutomated safety check: NotesCustom licence
Feedbackcodewhale-hq/Codewhale41k—~272Automated safety check: PassMIT
Feedbacknexu-io/nexu3.3k—~660Automated safety check: WarnMIT
Feedbacktinyfish-io/tinyfish-cookbook2.2k—~600Automated safety check: PassMIT
Feedbacksuboss87/FDEOps954—~349Automated safety check: PassMIT
Superset Feedback Reportersuperset-sh/superset15k—~2.9kAutomated safety check: PassCustom licence

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Questions about Skill Feedback

What does Skill Feedback do?

A skill your agent uses when 下流チャンネルリポジトリでスキル実行中の不具合・摩擦・改善案を構造化記録するとき、または記録済み feedback を上流 issue に還流するとき。「/skill-feedback」「摩擦を記録」「改善案を残す」「feedback を上流に還流して」「今週の feedback 還流して」で発動。分析の学びは analytics の…. Skill Feedback is an agent skill from daiki-beppu/youtube-automation.

How do I install Skill Feedback in Claude Code?

Run `npx skills add daiki-beppu/youtube-automation --skill skill-feedback -a claude-code`. Or copy the skill folder (.claude/skills/skill-feedback in daiki-beppu/youtube-automation) into .claude/skills/skill-feedback in your project. Claude Code loads it when a task matches its description.

How do I install Skill Feedback in Codex?

Run `npx skills add daiki-beppu/youtube-automation --skill skill-feedback -a codex`. Or copy the skill folder (.claude/skills/skill-feedback in daiki-beppu/youtube-automation) into .agents/skills/skill-feedback in your project. Codex loads it when a task matches its description.

Can I use Skill Feedback in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add daiki-beppu/youtube-automation --skill skill-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-feedback, .gemini/skills/skill-feedback, .github/skills/skill-feedback and .opencode/skills/skill-feedback in your project.

What does Skill Feedback need to run?

Going by SKILL.md and its folder, Skill Feedback needs Python for the scripts in its folder and the command-line tools its instructions call (gh and uv). Our summary lists: Python 3.

Does Skill Feedback access the network?

SKILL.md contains no URLs. Its commands use gh and uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Skill Feedback safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Skill Feedback use?

Skill Feedback has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Skill Feedback use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.2k tokens, read only when the agent opens those files.

What are the alternatives to Skill Feedback?

Skills that share tags, products or a category with Skill Feedback: Feedback (codewhale-hq/Codewhale, 41k stars), Feedback (nexu-io/nexu, 3.3k stars), Feedback (tinyfish-io/tinyfish-cookbook, 2.2k stars) and Feedback (suboss87/FDEOps, 954 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Feedback?

daiki-beppu (a GitHub user) maintains it in daiki-beppu/youtube-automation, which has 169 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 7, 2026.

Source: daiki-beppu/youtube-automation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.