Agent skill

Action Runner

by mohitagw15856 in mohitagw15856/pm-claude-skills

Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview, risk-classified, approval-gated, then recorded back to the…

MITAuto-check passedProduct & Project Management

Install Action Runner

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill action-runner -a claude-code

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills action-runner --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/action-runner .claude/skills/action-runner && 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
action-runner
GitHub stars
1.4k
Token cost
~1.5k tokens
SKILL.md length
662 words
Files
2 (incl. scripts)
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview, risk-classified, approval-gated, then recorded back to the…

  • Works in 3 steps: A dry-run actions plan — every proposed… → After approval, the executed actions… → A record back to the brain of what was…
  • Asked to act on a plan
  • SKILL.md covers What This Skill Produces, Required Inputs, How it works and Supported action targets, plus 6 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Action Runner is an agent skill from mohitagw15856/pm-claude-skills. Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview, risk-classified, approval-gated, then recorded back to the brain. Use when asked to act on a plan, file tickets from a checklist, create issues from a PRD, execute the recommended next steps, or wire a skill's output into GitHub/Linear/Slack. Produces a dry-run actions plan with per-action risk, executes only after approval via the connected action MCP, and logs what was…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/action_preview.py`).

It sits in Product & Project Management, covering PRD writing. It works with Model Context Protocol, GitHub and Slack. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked to act on a plan
  • File tickets from a checklist
  • Create issues from a PRD
  • Execute the recommended next steps

Example prompts

  • “/action-runner”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. A dry-run actions plan — every proposed action with its target, operation, and risk.
  2. After approval, the executed actions (via the connected action MCP) — outbound/destructive
  3. A record back to the brain of what was actually done, with provenance.

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. 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 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Action Runner loads about 1.5k tokens when it runs. Until then it costs about 139 tokens; SKILL.md has 662 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 662 words, ~1,508 tokens.

Download SKILL.mdSave it as .claude/skills/action-runner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
action-runner
description
Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview, risk-classified, approval-gated, then recorded back to the brain. Use when asked to act on a plan, file tickets from a checklist, create issues from a PRD, execute the recommended next steps, or wire a skill's output into GitHub/Linear/Slack. Produces a dry-run actions plan with per-action risk, executes only after approval via the connected action MCP, and logs what was done. Nothing acts silently.

Action Runner Skill

The library is great at recommending work. This skill executes it — the action layer of the Professional Brain (Phase 2). A skill says "open a ticket per checklist item"; this turns that into real GitHub/Linear/Slack actions, safely: previewed, risk-rated, approved, then recorded. The cardinal rule: nothing acts silently.

What This Skill Produces

  1. A dry-run actions plan — every proposed action with its target, operation, and risk.
  2. After approval, the executed actions (via the connected action MCP) — outbound/destructive ones gated individually.
  3. A record back to the brain of what was actually done, with provenance.

Required Inputs

Ask for (if not already provided):

  • The recommendations to act on (a launch checklist, PRD requirements, postmortem follow-ups…).
  • The connected action MCP and targets — which GitHub repo / Linear project / Slack channel. Scope is limited to what the user names; never act outside it.
  • Approval posture — what may run with a single OK vs. what needs per-action confirmation.

How it works

recommend → build an actions plan (JSON) → preview + risk-gate → approve → execute → record
  1. Build the plan — express each action as JSON: {"target","op","args","why","risk?"}.
  2. Preview + gate — run the helper; it prints a dry-run, classifies risk (🟢 low / 🟡 medium / 🔴 high), and refuses to proceed while any 🔴 outbound/destructive action is unapproved:
    bash
    echo '<plan json>' | python3 scripts/action_preview.py -
    # after the user approves the risky ones:
    echo '<plan json>' | python3 scripts/action_preview.py - --allow-high
  3. Approve — low/medium can run on a single confirmation; every 🔴 (post, send, delete, deploy, merge, charge…) needs explicit per-action approval. Default is do nothing until told.
  4. Execute — only approved actions, only via the connected action MCP (e.g. Composio/GitHub create_issue). One target at a time; stop and report on the first failure.
  5. Record — append what was actually done to the brain so the loop closes:
    bash
    python3 ../professional-brain/scripts/brain_write.py ./brain decisions "Filed launch tickets" \
      --tag external --body "Opened 7 issues in acme/app from the launch checklist" --commit

Supported action targets

Any action MCP can be wired in; these are the common targets, with example operations and the default risk the gate applies. Reads are 🟢; anything outbound, destructive, or that spends is 🔴.

TargetExample operationsDefault risk
GitHubcreate_issue, comment, open_pr · (merge_pr, close 🔴)🟡 (🔴 for merge/close)
Linear / Jiracreate_issue, update_status, comment🟡
Slackpost_message, reply_in_thread (outbound → always confirm)🔴
Notionappend_block, create_page, update_property🟡 (🔴 if it overwrites)
Email / Gmailsend_email (outbound)🔴
Calendarcreate_event, invite (outbound)🟡 (🔴 if it emails invitees)

Pick the narrowest target and op that does the job, scope to exactly what the user named, and let the risk gate decide what needs explicit approval. Outbound messages (Slack/email) are 🔴 by default — the model never posts on someone's behalf without a per-action yes.

Show full SKILL.md (280 more words)Show less

Safety rules (non-negotiable)

  • Dry-run by default. The plan is shown before anything runs.
  • Approval-gated. No execution without a yes; 🔴 actions are confirmed one by one.
  • Scope-limited. Only the repos/channels/projects the user named.
  • Logged. Every executed action is recorded to the brain with an [external] tag and a link.
  • No silent retries, no bulk outbound. If a step fails, stop and surface it.

The contract for other skills

An action-aware skill adds a short "Proposes Actions" section: after producing its artifact, it lists the actions it could take (target · op · why), then hands off to action-runner — which previews, gates, executes, and records. The skill never executes directly.

Output Format

  1. Proposed actions — a table: # · target · operation · why · risk.
  2. Gate result — the preview output; the 🔴 actions needing approval called out explicitly.
  3. Executed (after approval) — what ran, with links/IDs returned by the MCP.
  4. Recorded to the brain — the line(s) appended, with provenance.

Quality Checks

  • A dry-run plan is shown before anything executes
  • Every action has a risk level; 🔴 actions are individually approved
  • Execution stays within the named scope and uses only the connected MCP
  • Each executed action is recorded back to the brain with an [external] tag
  • On failure, it stops and reports rather than retrying blindly

Anti-Patterns

  • Executing anything without showing the dry-run plan first
  • Treating an outbound/destructive action (post, email, delete, deploy) as low-risk
  • Acting outside the scope the user named, or fanning out to many targets
  • "Helpfully" doing more than was approved
  • Forgetting to record what was done — the brain must reflect reality

Example Trigger Phrases

  • "File tickets from a checklist."
  • "Create issues from a PRD."
  • "Execute the recommended next steps."
  • "Wire a skill's output into GitHub/Linear/Slack."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in skills/action-runner of mohitagw15856/pm-claude-skills.

  • SKILL.md
  • scripts/action_preview.py

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Action Runner 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.

Action Runner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Action Runner this skillmohitagw15856/pm-claude-skills1.4k—~1.5kAutomated safety check: PassMIT
Ouroboros PM InterviewQ00/ouroboros6.2k—~5.7kAutomated safety check: PassMIT
ComposioComposioHQ/composio30k1 repos~1.7kAutomated safety check: PassMIT
CCPM Project Managementautomazeio/ccpm8.4k—~1.1kAutomated safety check: PassMIT
Produck Feedback To Buildtryproduck/produck-skills510—~1kAutomated safety check: PassApache-2.0
To Issuessmallnest/pigo476—~1.9kAutomated safety check: PassMIT

Similar skills

  • Runs a guided product-manager interview that classifies each question automatically and produces a Product Requirements Document.

    6.2k GitHub stars~5.7k tokensUpdated 2 days ago
    Product & Project ManagementAuto-check passed
  • Composio

    ComposioHQ/composio

    Route and complete Composio work across Composio For You and Composio Platform.

    30k GitHub starsUsed in 1 repo~1.7k tokens
    Productivity & AutomationAuto-check passed
  • Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.

    8.4k GitHub stars~1.1k tokensUpdated 6 mo ago
    Product & Project ManagementAuto-check passed
  • Produck Feedback To Build

    tryproduck/produck-skills

    Pulls full in-context user feedback tickets through the Produck MCP server and turns them into an aligned product change instead of a guess.

    510 GitHub stars~1k tokensUpdated 1 mo ago
    Product & Project ManagementAuto-check passed
  • To Issues

    smallnest/pigo

    Decompose a PRD and/or SPEC into implementable Issues and create them in your chosen platform (GitHub, Local, or Baidu iCafe).

    476 GitHub stars~1.9k tokensUpdated 26 days ago
    Product & Project ManagementAuto-check passed
  • Rhesis

    rhesis-ai/rhesis

    Design, run, and analyze AI test suites on Rhesis — explore endpoints, build test foundations from a spec, create requirements and metrics, execute tests, and analyze results.

    397 GitHub stars~1.2k tokensUpdated yesterday
    Product & Project ManagementAuto-check passed

More from mohitagw15856/pm-claude-skills

All 1,348 skills in this repo
  • Car Tco

    mohitagw15856/pm-claude-skills

    Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly…

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Cs Health Scorecard

    mohitagw15856/pm-claude-skills

    Build a customer health scorecard for a specific account. An agent skill from mohitagw15856/pm-claude-skills.

    1.4k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed
  • Exit Waterfall

    mohitagw15856/pm-claude-skills

    Compute who gets what at each exit price from a cap table — liquidation preferences, conversion points, and where the founders' share collapses.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Feature Prioritisation

    mohitagw15856/pm-claude-skills

    Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items.

    1.4k GitHub stars~2k tokensUpdated yesterday
    Auto-check passed
  • Fire Number

    mohitagw15856/pm-claude-skills

    Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Freelance Rate

    mohitagw15856/pm-claude-skills

    Derive a freelance day/hourly rate backwards from target income, honest billable utilization, overhead, and the self-employment tax premium — the arithmetic that proves a rate is not salary÷2000.

    1.4k GitHub stars~1.2k tokensUpdated yesterday
    Auto-check passed

Questions about Action Runner

What does Action Runner do?

Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview, risk-classified, approval-gated, then recorded back to the…. Action Runner is an agent skill from mohitagw15856/pm-claude-skills. Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview, risk-classified, approval-gated, then recorded back to the brain.

When should I use Action Runner?

Action Runner fits situations like: asked to act on a plan; file tickets from a checklist; create issues from a PRD; execute the recommended next steps.

How do I install Action Runner in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill action-runner -a claude-code`. Or copy the skill folder (skills/action-runner in mohitagw15856/pm-claude-skills) into .claude/skills/action-runner in your project. Claude Code loads it when a task matches its description.

How do I install Action Runner in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill action-runner -a codex`. Or copy the skill folder (skills/action-runner in mohitagw15856/pm-claude-skills) into .agents/skills/action-runner in your project. Codex loads it when a task matches its description.

Can I use Action Runner 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 mohitagw15856/pm-claude-skills --skill action-runner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/action-runner, .gemini/skills/action-runner, .github/skills/action-runner and .opencode/skills/action-runner in your project.

What does Action Runner need to run?

Going by SKILL.md and its folder, Action Runner needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Action Runner 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 Action Runner 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Action Runner use?

Action Runner 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 Action Runner use?

About 1.5k tokens (SKILL.md is roughly 6k 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 Action Runner?

Skills that share tags, products or a category with Action Runner: Ouroboros PM Interview (Q00/ouroboros, 6.2k stars), Composio (ComposioHQ/composio, 30k stars), CCPM Project Management (automazeio/ccpm, 8.4k stars) and Produck Feedback To Build (tryproduck/produck-skills, 510 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Action Runner?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,433 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 8, 2026.

Source: mohitagw15856/pm-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.