Show Me Your Work Decision Log
cursor/plugins
Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.
Iterative task completion loop with Definition of Done verification.
$ npx skills add team-attention/hoyeon --skill ralph -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install team-attention/hoyeon ralph --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ralph .claude/skills/ralph && rm -rf skills-srcUse ~/.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/
Install the "ralph" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/ralph into .claude/skills/ralph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/team-attention/hoyeon/tree/main/skills/ralphType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add team-attention/hoyeon --skill ralph -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install team-attention/hoyeon ralph --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ralph .agents/skills/ralph && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ralph" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/ralph into .agents/skills/ralph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add team-attention/hoyeon --skill ralph -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install team-attention/hoyeon ralph --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ralph .cursor/skills/ralph && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ralph" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/ralph into .cursor/skills/ralph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/team-attention/hoyeon.git --path skills/ralph--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add team-attention/hoyeon --skill ralph -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install team-attention/hoyeon ralph --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ralph .gemini/skills/ralph && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ralph" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/ralph into .gemini/skills/ralph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install team-attention/hoyeon ralphInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add team-attention/hoyeon --skill ralph -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ralph .github/skills/ralph && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ralph" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/ralph into .github/skills/ralph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add team-attention/hoyeon --skill ralph -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install team-attention/hoyeon ralph --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ralph .opencode/skills/ralph && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ralph" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/ralph into .opencode/skills/ralph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ralphIterative task completion loop with Definition of Done verification.
Ralph is an agent skill from team-attention/hoyeon. Iterative task completion loop with Definition of Done verification. Combines the Ralph Wiggum technique (prompt re-injection via Stop hook) with DoD-based independent verification. Claude proposes DoD criteria, user confirms, then Claude works autonomously. Stop hook re-injects the original prompt and blocks exit until all DoD items are independently verified. "/ralph", "ralph loop", "ralph 루프", "반복 작업", "DoD 루프", "완료 검증 루프", "task loop", "keep going until done"
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Autonomous loops. The repository describes itself as: Requirements-first Harness — derive, verify, execute. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7cff032. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobBashWriteEditAgentAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
jqnpmtsceslintFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ralph loads about 1.6k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 613 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Grep, Glob, Bash, Write, Edit, Agent, AskUserQuestionAutomated 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.
The full file from team-attention/hoyeon at commit 7cff032, republished under its MIT licence (© team-attention). 613 words, ~1,588 tokens.
.claude/skills/ralph/SKILL.md (or your agent's skills folder).Iterative task completion loop driven by a user-confirmed Definition of Done. Combines the Ralph Wiggum technique (prompt re-injection on stop) with DoD-based independent verification.
How it works:
Build a Definition of Done through interactive confirmation before starting work.
Read the user's request carefully. Based on the task, propose 3–7 concrete, verifiable DoD criteria.
Good criteria (binary, independently verifiable):
npm test exits 0)"parseConfig() exists in src/config.ts"tsc --noEmit exits 0)"Bad criteria (vague, subjective):
eslint . exits 0)"Present as a numbered markdown checklist:
Based on your request, here's my proposed Definition of Done:
1. [concrete criterion 1]
2. [concrete criterion 2]
3. [concrete criterion 3]
...
Each item will be independently verified before the task is considered complete.Use AskUserQuestion to confirm:
"Here are the proposed DoD criteria. You can:
- Accept as-is
- Add criteria (tell me what to add)
- Remove criteria (tell me which to remove)
- Modify criteria (tell me what to change)
Also, set max iterations (default: 10) if you want to limit the loop."
Loop until the user accepts. Parse their response for:
After user confirms, initialize the loop state and write the DoD file.
Write DoD file — create the checklist as a markdown file:
Bash: SESSION_ID="[session ID from hook]" && mkdir -p "$HOME/.hoyeon/$SESSION_ID/files" && cat > "$HOME/.hoyeon/$SESSION_ID/files/ralph-dod.md" << 'DODEOF'
# Definition of Done
- [ ] [criterion 1]
- [ ] [criterion 2]
- [ ] [criterion 3]
...
DODEOFWrite state — store the original prompt and configuration for the Stop hook:
Bash: SESSION_ID="[session ID from hook]" && PROMPT=$(cat << 'PROMPTEOF'
[The user's ORIGINAL request/prompt — exactly as they typed it, before any processing]
PROMPTEOF
) && hoyeon-cli session set --sid "$SESSION_ID" --json "$(jq -n \
--arg prompt "$PROMPT" \
--arg dod_file "$HOME/.hoyeon/$SESSION_ID/files/ralph-dod.md" \
--arg created_at "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
'{ralph: {prompt: $prompt, iteration: 0, max_iterations: 10, dod_file: $dod_file, created_at: $created_at}}')"Replace max_iterations: 10 with the user's chosen value if they specified one.
Display confirmation:
## Ralph Loop Initialized
**Task**: [summary of what you'll do]
**DoD**: [N] criteria
**Max iterations**: [max_iterations]
Starting work. The loop will verify each DoD item independently before allowing completion.Now do the actual work. Focus on completing the task to satisfy all DoD criteria.
Rules during work:
ralph-dod.md) — it's guarded by the systemWhen you believe the work is complete, simply finish your response normally. The Stop hook will:
reason, list remaining items in systemMessageOn re-entry (after Stop hook blocks):
systemMessage will instruct you to spawn a ralph-verifier agentVerification via separate agent (context isolation):
ralph-verifier agent with subagent_type="ralph-verifier" in FOREGROUND (do NOT use run_in_background=true)PASS items → change - [ ] to - [x] in the DoD fileFAIL items → fix the underlying issue in this iterationWhy a separate agent? The agent that wrote the code should NOT verify its own work. The verifier agent starts clean, reads actual files/tests, and judges objectively.
© team-attention, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/ralph of team-attention/hoyeon.
Open the folder on GitHubat commit 7cff032
Ralph 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 | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ralph this skillteam-attention/hoyeon | 173 | — | ~1.6k | Automated safety check: Notes | MIT | |
| Show Me Your Work Decision Logcursor/plugins | 10k | 8 repos | ~1.6k | Automated safety check: Pass | None | |
| Autoresearch Iteration Loopuditgoenka/autoresearch | 6.5k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Install Loop Engineeringcobusgreyling/loop-engineering | 11k | 1 repos | ~648 | Automated safety check: Pass | MIT | |
| LoopyForward-Future/loopy | 3.2k | — | ~3.9k | Automated safety check: Pass | MIT | |
| AI Performance Improvement Plantanweai/pua | 20k | 2 repos | ~6.9k | Automated safety check: Pass | MIT |
cursor/plugins
Keeps a TSV decision log for long or unattended agent runs, one row per decision with what, why, evidence and result, so a reviewer can check the work later.
uditgoenka/autoresearch
Runs an autonomous modify, verify, keep-or-discard loop against any metric, with subcommands for planning, debugging, fixing, security audits, shipping and more.
cobusgreyling/loop-engineering
Installs Loop Engineering into a project through the single @cobusgreyling/loop CLI, scaffolding a report-only loop and a readiness score.
Forward-Future/loopy
Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication.
tanweai/pua
Pushes an agent to exhaust every option, investigate before asking and take initiative beyond the literal request, instead of giving up or waiting passively.
loopx-project/loopx
Diagnoses surprising LoopX behavior, such as stale recommendations or tiny progress, assigns it to the responsible layer and repairs it at the lowest durable level.
team-attention/hoyeon
This skill should be used when the user asks to "analyze session", "evaluate skill execution", "check session logs", provides a session ID with a skill path, or wants to verify that a skill executed…
team-attention/hoyeon
Recon-first browser automation. An agent skill from team-attention/hoyeon.
team-attention/hoyeon
This skill should be used when the user wants to verify their changes before pushing, or update the project's rule checklists.
team-attention/hoyeon
This skill should be used when the user says "/compound", "compound this", "document learnings", "save what we learned", or after completing a PR.
team-attention/hoyeon
Systematically QA test any application — web apps, native macOS apps, Electron apps, CLI tools, interactive REPLs, or anything on screen.
team-attention/hoyeon
This skill should be used when the user asks about "technical decision", "what to use", "A vs B", "comparison analysis", "library selection", "architecture decision", "which one to use"…
Categories
Iterative task completion loop with Definition of Done verification. Ralph is an agent skill from team-attention/hoyeon. Iterative task completion loop with Definition of Done verification.
Ralph fits situations like: tasks that involve Autonomous loops.
Run `npx skills add team-attention/hoyeon --skill ralph -a claude-code`. Or copy the skill folder (skills/ralph in team-attention/hoyeon) into .claude/skills/ralph in your project. Claude Code loads it when a task matches its description.
Run `npx skills add team-attention/hoyeon --skill ralph -a codex`. Or copy the skill folder (skills/ralph in team-attention/hoyeon) into .agents/skills/ralph in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add team-attention/hoyeon --skill ralph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralph, .gemini/skills/ralph, .github/skills/ralph and .opencode/skills/ralph in your project.
Going by SKILL.md and its folder, Ralph needs the command-line tools its instructions call (jq, npm, tsc and eslint). Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash, Write, Edit, Agent, AskUserQuestion.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Ralph is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ralph: Show Me Your Work Decision Log (cursor/plugins, 10k stars), Autoresearch Iteration Loop (uditgoenka/autoresearch, 6.5k stars), Install Loop Engineering (cobusgreyling/loop-engineering, 11k stars) and Loopy (Forward-Future/loopy, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
team-attention (a GitHub organization) maintains it in team-attention/hoyeon, which has 173 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on May 21, 2026.
Source: team-attention/hoyeon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.