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.
Set up and run an autonomous experiment loop for any optimization target.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gianfrancopiana/openclaw-autoresearch autoresearch-create --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/gianfrancopiana/openclaw-autoresearch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autoresearch-create .claude/skills/autoresearch-create && 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 "autoresearch-create" agent skill from https://github.com/gianfrancopiana/openclaw-autoresearch/tree/main/skills/autoresearch-create into .claude/skills/autoresearch-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-create", 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/gianfrancopiana/openclaw-autoresearch/tree/main/skills/autoresearch-createType 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 gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gianfrancopiana/openclaw-autoresearch autoresearch-create --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gianfrancopiana/openclaw-autoresearch.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/autoresearch-create .agents/skills/autoresearch-create && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autoresearch-create" agent skill from https://github.com/gianfrancopiana/openclaw-autoresearch/tree/main/skills/autoresearch-create into .agents/skills/autoresearch-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-create", 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 gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gianfrancopiana/openclaw-autoresearch autoresearch-create --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gianfrancopiana/openclaw-autoresearch.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/autoresearch-create .cursor/skills/autoresearch-create && 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 "autoresearch-create" agent skill from https://github.com/gianfrancopiana/openclaw-autoresearch/tree/main/skills/autoresearch-create into .cursor/skills/autoresearch-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-create", 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/gianfrancopiana/openclaw-autoresearch.git --path skills/autoresearch-create--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 gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gianfrancopiana/openclaw-autoresearch autoresearch-create --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gianfrancopiana/openclaw-autoresearch.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/autoresearch-create .gemini/skills/autoresearch-create && 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 "autoresearch-create" agent skill from https://github.com/gianfrancopiana/openclaw-autoresearch/tree/main/skills/autoresearch-create into .gemini/skills/autoresearch-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-create", 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 gianfrancopiana/openclaw-autoresearch autoresearch-createInstalls 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 gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gianfrancopiana/openclaw-autoresearch.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/autoresearch-create .github/skills/autoresearch-create && 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 "autoresearch-create" agent skill from https://github.com/gianfrancopiana/openclaw-autoresearch/tree/main/skills/autoresearch-create into .github/skills/autoresearch-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-create", 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 gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gianfrancopiana/openclaw-autoresearch autoresearch-create --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gianfrancopiana/openclaw-autoresearch.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/autoresearch-create .opencode/skills/autoresearch-create && 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 "autoresearch-create" agent skill from https://github.com/gianfrancopiana/openclaw-autoresearch/tree/main/skills/autoresearch-create into .opencode/skills/autoresearch-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-create", 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.
autoresearch-createSet up and run an autonomous experiment loop for any optimization target.
Autoresearch Create is an agent skill from gianfrancopiana/openclaw-autoresearch. Set up and run an autonomous experiment loop for any optimization target. Gathers what to optimize, then starts the loop immediately. Use when asked to "run autoresearch", "optimize X in a loop", "set up autoresearch for X", or "start experiments".
Its SKILL.md is about 1.5k 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: Autonomous experiment loop plugin for OpenClaw. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 08bfcaf. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, 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.
Autoresearch Create loads about 1.5k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 717 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 found patterns that need a careful read before installing.
the user's idea in the next experiment. Don't stop mid-experiment or ask for confirmation unless the user explicitly intAutomated 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 gianfrancopiana/openclaw-autoresearch at commit 08bfcaf, republished under its MIT licence (© gianfrancopiana). 717 words, ~1,487 tokens.
.claude/skills/autoresearch-create/SKILL.md (or your agent's skills folder).Autonomous experiment loop: try ideas, keep what works, discard what doesn't, never stop.
init_experiment — configure session (name, metric, unit, direction). Once runs exist, calling it again requires reset: true to start a new segment explicitly.run_experiment — runs the benchmark command, times it, captures output, parses METRIC name=number lines, and opens a pending run that must be logged before another run can start.log_experiment — records the pending run. The first logged run in a segment becomes the baseline automatically. keep auto-commits. discard/crash → git checkout -- . to revert. discard also requires an idea note so the failed path gets appended to autoresearch.ideas.md. If the previous run_experiment captured the primary metric, commit and metric can be omitted and will default from the pending run.autoresearch.checkpoint.json already names a canonical branch, reuse it. Otherwise create one with git checkout -b autoresearch/<goal>-<date> and keep using that branch for the whole loop.autoresearch.md and autoresearch.sh (see below). Commit both.init_experiment → run_experiment baseline → log_experiment → start looping immediately.autoresearch.mdThis is the heart of the session. A fresh agent with no context should be able to read this file and run the loop effectively. Invest time making it excellent.
# Autoresearch: <goal>
## Objective
<Specific description of what we're optimizing and the workload.>
## Metrics
- **Primary**: <name> (<unit>, lower/higher is better)
- **Secondary**: <name>, <name>, ...
## How to Run
`./autoresearch.sh` — outputs `METRIC name=number` lines.
## Files in Scope
<Every file the agent may modify, with a brief note on what it does.>
## Off Limits
<What must NOT be touched.>
## Constraints
<Hard rules: tests must pass, no new deps, etc.>
## What's Been Tried
<Update this section as experiments accumulate. Note key wins, dead ends,
and architectural insights so the agent doesn't repeat failed approaches.>The plugin rewrites the Metrics, How to Run, What's Been Tried, and Plugin Checkpoint sections after init/log transitions. You may add context elsewhere in the file, but do not fight the plugin-managed sections.
autoresearch.shBash script (set -euo pipefail) that: pre-checks fast (syntax errors in <1s), runs the benchmark, outputs METRIC name=number lines. Keep it fast — every second is multiplied by hundreds of runs. Update it during the loop as needed.
LOOP FOREVER. Never ask "should I continue?" — the user expects autonomous work.
keep. Worse/equal → discard. Secondary metrics rarely affect this.autoresearch.md exists, read it plus autoresearch.checkpoint.json, then continue looping.autoresearch.lock exists and the PID is alive, another loop is active. Resume that loop instead of forking a second session.run_experiment, not raw exec/bash.init_experiment with reset: true; do not silently wipe the current baseline.NEVER STOP. The user may be away for hours. Keep going until interrupted.
When you discover complex but promising optimizations that you decide not to pursue right now, append them as bullet points to autoresearch.ideas.md. Don't let good ideas get lost.
If the loop stops (context limit, crash, etc.) and autoresearch.ideas.md exists, you'll be asked to:
autoresearch.ideas.md and write a final summary reportWhen there is no autoresearch.ideas.md file and the loop ends, the research is complete.
If the host exposes the OpenClaw message hooks, user steers that arrive while an experiment is running are captured and surfaced after your next log_experiment call. OpenClaw may also preserve the same steer in the normal followup backlog, so if the next turn repeats a steer you already saw in log_experiment, treat it as the same request rather than a brand new branch of work.
Finish the current experiment first, then incorporate the user's idea in the next experiment. Don't stop mid-experiment or ask for confirmation unless the user explicitly interrupts the loop.
© gianfrancopiana, 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/autoresearch-create of gianfrancopiana/openclaw-autoresearch.
Open the folder on GitHubat commit 08bfcaf
Autoresearch Create 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 |
|---|---|---|---|---|---|---|
| Autoresearch Create this skillgianfrancopiana/openclaw-autoresearch | 176 | — | ~1.5k | Automated safety check: Warn | MIT | |
| Show Me Your Work Decision Logcursor/plugins | 11k | 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.
Categories
Set up and run an autonomous experiment loop for any optimization target. Autoresearch Create is an agent skill from gianfrancopiana/openclaw-autoresearch. Set up and run an autonomous experiment loop for any optimization target.
Autoresearch Create fits situations like: asked to run autoresearch; optimize X in a loop; set up autoresearch for X; start experiments.
Run `npx skills add gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a claude-code`. Or copy the skill folder (skills/autoresearch-create in gianfrancopiana/openclaw-autoresearch) into .claude/skills/autoresearch-create in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a codex`. Or copy the skill folder (skills/autoresearch-create in gianfrancopiana/openclaw-autoresearch) into .agents/skills/autoresearch-create 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 gianfrancopiana/openclaw-autoresearch --skill autoresearch-create -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autoresearch-create, .gemini/skills/autoresearch-create, .github/skills/autoresearch-create and .opencode/skills/autoresearch-create in your project.
Going by SKILL.md and its folder, Autoresearch Create needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, 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 flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
Autoresearch Create is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k 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 Autoresearch Create: Show Me Your Work Decision Log (cursor/plugins, 11k 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.
gianfrancopiana (a GitHub user) maintains it in gianfrancopiana/openclaw-autoresearch, which has 176 GitHub stars. The repository was last updated on May 4, 2026.
Source: gianfrancopiana/openclaw-autoresearch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.