Init
asgeirtj/system_prompts_leaks
Initialize new CLAUDE.md file(s) and optional skills/hooks with codebase documentation
One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.
MITAuto-check passed
Install Run
$ npx skills add alirezarezvani/claude-skills --skill run -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills run --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/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/agenthub/skills/run .claude/skills/run && 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 "run" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/run into .claude/skills/run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run", 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/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/runType 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 alirezarezvani/claude-skills --skill run -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills run --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/agenthub/skills/run .agents/skills/run && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "run" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/run into .agents/skills/run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run", 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 alirezarezvani/claude-skills --skill run -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills run --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/agenthub/skills/run .cursor/skills/run && 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 "run" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/run into .cursor/skills/run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run", 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/alirezarezvani/claude-skills.git --path engineering/agenthub/skills/run--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 alirezarezvani/claude-skills --skill run -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills run --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/agenthub/skills/run .gemini/skills/run && 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 "run" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/run into .gemini/skills/run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run", 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 alirezarezvani/claude-skills runInstalls 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 alirezarezvani/claude-skills --skill run -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/agenthub/skills/run .github/skills/run && 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 "run" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/run into .github/skills/run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run", 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 alirezarezvani/claude-skills --skill run -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills run --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/agenthub/skills/run .opencode/skills/run && 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 "run" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering/agenthub/skills/run into .opencode/skills/run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "run", 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.
Facts
- Skill name
run- GitHub stars
- 28k
- Token cost
- ~944 tokens
- SKILL.md length
- 374 words
- Files
- 1
- Skills in repo
- 342
- Repo updated
- First seen
- Licence
- MIT
At a glance
One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.
- Works in 6 steps: Initialize → Capture Baseline → Spawn Agents → …
- The user runs /hub:run
- SKILL.md covers Usage, Parameters, What It Does and Critical Rules
- Calls python
What it does
Run is an agent skill from alirezarezvani/claude-skills. One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Use when the user runs /hub:run or asks to execute a full AgentHub competition end-to-end.
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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 /hub:run
- Asks to execute a full AgentHub competition end-to-end
Example prompts
- “/run”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
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:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 944 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 374 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.
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). 374 words, ~944 tokens.
Download SKILL.mdSave it as
.claude/skills/run/SKILL.md (or your agent's skills folder).- name
- run
- description
- One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Use when the user runs /hub:run or asks to execute a full AgentHub competition end-to-end.
- command
- /hub:run
/hub:run — One-Shot Lifecycle
Run the full AgentHub lifecycle in one command: initialize, capture baseline, spawn agents, evaluate results, and merge the winner.
Usage
/hub:run --task "Reduce p50 latency" --agents 3 \
--eval "pytest bench.py --json" --metric p50_ms --direction lower \
--template optimizer
/hub:run --task "Refactor auth module" --agents 2 --template refactorer
/hub:run --task "Cover untested utils" --agents 3 \
--eval "pytest --cov=utils --cov-report=json" --metric coverage_pct --direction higher \
--template test-writer
/hub:run --task "Write 3 email subject lines for spring sale campaign" --agents 3 --judgeParameters
| Parameter | Required | Description |
|---|---|---|
--task | Yes | Task description for agents |
--agents | No | Number of parallel agents (default: 3) |
--eval | No | Eval command to measure results (skip for LLM judge mode) |
--metric | No | Metric name to extract from eval output (required if --eval given) |
--direction | No | lower or higher — which direction is better (required if --metric given) |
--template | No | Agent template: optimizer, refactorer, test-writer, bug-fixer |
What It Does
Execute these steps sequentially:
Step 1: Initialize
Run /hub:hub-init with the provided arguments:
python {skill_path}/scripts/hub_init.py \
--task "{task}" --agents {N} \
[--eval "{eval_cmd}"] [--metric {metric}] [--direction {direction}]Display the session ID to the user.
Step 2: Capture Baseline
If --eval was provided:
- Run the eval command in the current working directory
- Extract the metric value from stdout
- Display:
Baseline captured: {metric} = {value} - Append
baseline: {value}to.agenthub/sessions/{session-id}/config.yaml
If no --eval was provided, skip this step.
Step 3: Spawn Agents
Run /hub:spawn with the session ID.
If --template was provided, use the template dispatch prompt from ../agenthub/references/agent-templates.md instead of the default dispatch prompt. Pass the eval command, metric, and baseline to the template variables.
Launch all agents in a single message with multiple Agent tool calls (true parallelism).
Show full SKILL.md (167 more words)Show less
Step 4: Wait and Monitor
After spawning, inform the user that agents are running. When all agents complete (Agent tool returns results):
- Display a brief summary of each agent's work
- Proceed to evaluation
Step 5: Evaluate
Run /hub:eval with the session ID:
- If
--evalwas provided: metric-based ranking withresult_ranker.py - If no
--eval: LLM judge mode (coordinator reads diffs and ranks)
If baseline was captured, pass --baseline {value} to result_ranker.py so deltas are shown.
Display the ranked results table.
Step 6: Confirm and Merge
Present the results to the user and ask for confirmation:
Agent-2 is the winner (128ms, -52ms from baseline).
Merge agent-2's branch? [Y/n]If confirmed, run /hub:merge. If declined, inform the user they can:
/hub:merge --agent agent-{N}to pick a different winner/hub:eval --judgeto re-evaluate with LLM judge- Inspect branches manually
Critical Rules
- Sequential execution — each step depends on the previous
- Stop on failure — if any step fails, report the error and stop
- User confirms merge — never auto-merge without asking
- Template is optional — without
--template, agents use the default dispatch prompt from/hub:spawn
© 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/agenthub/skills/run of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Run this skillalirezarezvani/claude-skills | 28k | — | ~944 | Automated safety check: Pass | MIT | |
| Initasgeirtj/system_prompts_leaks | 69k | — | ~5.5k | Automated safety check: Pass | CC0-1.0 | |
| Initasgeirtj/system_prompts_leaks | 69k | — | ~602 | Automated safety check: Pass | CC0-1.0 | |
| Sbom Supply Chainsickn33/agentic-awesome-skills | 47k | 2 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Agent Supply Chaingithub/awesome-copilot | 40k | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Supply Chain Securityzhaoxuya520/reverse-skill | 40k | 4 repos | ~953 | Automated safety check: Warn | MIT |
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Questions about Run
What does Run do?
One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Run is an agent skill from alirezarezvani/claude-skills. One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.
When should I use Run?
Run fits situations like: the user runs /hub:run; asks to execute a full AgentHub competition end-to-end.
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/agenthub/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/agenthub/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 (python). Our summary lists: Python 3.
Does Run access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 944 tokens (SKILL.md is roughly 3.8k 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: Init (asgeirtj/system_prompts_leaks, 69k stars), Init (asgeirtj/system_prompts_leaks, 69k stars), Sbom Supply Chain (sickn33/agentic-awesome-skills, 47k stars) and Agent Supply Chain (github/awesome-copilot, 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.