Run a single experiment iteration. An agent skill from alirezarezvani/claude-skills.

MITAuto-check passedAgent Workflows

Install Run

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill run -a claude-code

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

GitHub CLI
$ gh skill install alirezarezvani/claude-skills run --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/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/autoresearch-agent/skills/run .claude/skills/run && 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
run
GitHub stars
28k
Used in
1 other repo
Token cost
~628 tokens
SKILL.md length
217 words
Files
1
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Run a single experiment iteration. An agent skill from alirezarezvani/claude-skills.

  • Works in 7 steps: Resolve experiment → Load context → Decide what to try → …
  • The user runs /ar:run
  • SKILL.md covers Usage, What It Does and Rules
  • Calls git and python

What it does

Run is an agent skill from alirezarezvani/claude-skills. Run a single experiment iteration. Edit the target file, evaluate, keep or discard. Use when the user runs /ar:run or asks for one manual autoresearch iteration.

Its SKILL.md is about 630 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: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • The user runs /ar:run
  • Asks for one manual autoresearch iteration

Example prompts

  • “/run”

Requirements

  • Python 3

Workflow steps

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

  1. Resolve experiment
  2. Load context
  3. Decide what to try
  4. Make ONE change
  5. Commit and evaluate
  6. Report result
  7. Self-improvement check

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. 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

    Shell commands in SKILL.md call:

    • git
    • python

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

  • Network

    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.

  • 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

Run loads about 628 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 217 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~628

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 passed

The automated check found no risky patterns in SKILL.md.

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

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 217 words, ~628 tokens.

Download SKILL.mdSave it as .claude/skills/run/SKILL.md (or your agent's skills folder).
name
run
description
Run a single experiment iteration. Edit the target file, evaluate, keep or discard. Use when the user runs /ar:run or asks for one manual autoresearch iteration.
command
/ar:run

/ar:run — Single Experiment Iteration

Run exactly ONE experiment iteration: review history, decide a change, edit, commit, evaluate.

Usage

/ar:run engineering/api-speed              # Run one iteration
/ar:run                                     # List experiments, let user pick

What It Does

Step 1: Resolve experiment

If no experiment specified, run python {skill_path}/scripts/setup_experiment.py --list and ask the user to pick.

Step 2: Load context
bash
# Read experiment config
cat .autoresearch/{domain}/{name}/config.cfg

# Read strategy and constraints
cat .autoresearch/{domain}/{name}/program.md

# Read experiment history
cat .autoresearch/{domain}/{name}/results.tsv

# Checkout the experiment branch
git checkout autoresearch/{domain}/{name}
Step 3: Decide what to try

Review results.tsv:

  • What changes were kept? What pattern do they share?
  • What was discarded? Avoid repeating those approaches.
  • What crashed? Understand why.
  • How many runs so far? (Escalate strategy accordingly)

Strategy escalation:

  • Runs 1-5: Low-hanging fruit (obvious improvements)
  • Runs 6-15: Systematic exploration (vary one parameter)
  • Runs 16-30: Structural changes (algorithm swaps)
  • Runs 30+: Radical experiments (completely different approaches)
Step 4: Make ONE change

Edit only the target file specified in config.cfg. Change one thing. Keep it simple.

Step 5: Commit and evaluate
bash
git add {target}
git commit -m "experiment: {short description of what changed}"

python {skill_path}/scripts/run_experiment.py \
  --experiment {domain}/{name} --single
Step 6: Report result

Read the script output. Tell the user:

  • KEEP: "Improvement! {metric}: {value} ({delta} from previous best)"
  • DISCARD: "No improvement. {metric}: {value} vs best {best}. Reverted."
  • CRASH: "Evaluation failed: {reason}. Reverted."
Step 7: Self-improvement check

After every 10th experiment (check results.tsv line count), update the Strategy section of program.md with patterns learned.

Rules

  • ONE change per iteration. Don't change 5 things at once.
  • NEVER modify the evaluator (evaluate.py). It's ground truth.
  • Simplicity wins. Equal performance with simpler code is an improvement.
  • No new dependencies.

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in engineering/autoresearch-agent/skills/run of alirezarezvani/claude-skills.

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Run 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.

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AutopilotYeachan-Heo/oh-my-claudecode40k1 repos~4.4kAutomated safety check: PassMIT
Install Loop Engineeringcobusgreyling/loop-engineering11k1 repos~648Automated safety check: PassMIT

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Categories

Questions about Run

What does Run do?

Run a single experiment iteration. An agent skill from alirezarezvani/claude-skills. Run is an agent skill from alirezarezvani/claude-skills. Run a single experiment iteration.

When should I use Run?

Run fits situations like: the user runs /ar:run; asks for one manual autoresearch iteration.

How do I install Run in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill run -a claude-code`. Or copy the skill folder (engineering/autoresearch-agent/skills/run in alirezarezvani/claude-skills) into .claude/skills/run in your project. Claude Code loads it when a task matches its description.

How do I install Run in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill run -a codex`. Or copy the skill folder (engineering/autoresearch-agent/skills/run in alirezarezvani/claude-skills) into .agents/skills/run in your project. Codex loads it when a task matches its description.

Can I use Run 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 alirezarezvani/claude-skills --skill run -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/run, .gemini/skills/run, .github/skills/run and .opencode/skills/run in your project.

What does Run need to run?

Going by SKILL.md and its folder, Run needs the command-line tools its instructions call (git and python). Our summary lists: Python 3.

Does Run access the network?

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.

Is Run safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Run use?

Run is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Run use?

About 628 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Run?

Skills that share tags, products or a category with Run: Show Me Your Work Decision Log (cursor/plugins, 10k stars), Autoresearch Iteration Loop (uditgoenka/autoresearch, 6.5k stars), PUA Loop (tanweai/pua, 20k stars) and Autopilot (Yeachan-Heo/oh-my-claudecode, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Run?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.