wf-run

wf-run is a skill for Claude Code, Codex from tomsej/pi-ext. It costs 85 tokens per session (1,323 once invoked), scanned A, original, MIT.

A workflow control skill for checking project contracts, planning their order, and launching selected work in separate Git worktrees. A worktree is an isolated working copy of a repository, so different tasks can be developed independently.

In plain words
What is it for?
Use it to inspect workflow status, find ready tasks, detect dependencies and collisions, let the user choose what to launch, and start or resume the corresponding work.
Why use it?
It prevents work from starting when a contract is blocked, duplicated, cyclic, or already running. It also helps resume existing work instead of creating duplicate worktrees.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/tomsej/pi-ext/wf-run
Any agent
npx skills add tomsej/pi-ext --skill wf-run
Clone the repo
git clone --depth 1 https://github.com/tomsej/pi-ext

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for wf-run

README.md
[![agentmods](https://agentmods.dev/badge/skills/tomsej/pi-ext/wf-run.svg)](https://agentmods.dev/skills/tomsej/pi-ext/wf-run)
Your own site
<a href="https://agentmods.dev/skills/tomsej/pi-ext/wf-run"><img src="https://agentmods.dev/badge/skills/tomsej/pi-ext/wf-run.svg" alt="Measured on agentmods" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,323 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.01323
Opus 5 $0.00043 $0.00661
Sonnet 5 $0.00017 $0.00265
Haiku 4.5 $0.00009 $0.00132

Measured 5d ago against content hash c98e6411c32f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

wf-run scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/wf-run/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/wf-run — naplánuj a spusť kontrakty

Jsi v HLAVNÍ session: plánuješ, spouštíš worktree, předáváš — nikdy tu nic neimplementuješ. Před sc worktree create si přečti sc instructions worktree.

GATE = node ~/Workspace/pi-ext/wf/wf-gate.mjs

1. Stav

GATE status --json (z rootu repa) odvodí stav živě z gitu a gh:

  • done → po schválení archivuj celý adresář kontraktu: mv <dirname(file)> <specs dir>/_archive/ (cesty z JSONu; specy jsou mimo repo, žádný git).
  • pr-open s nevyřešenými thready → kandidát na „vyřeš komentáře".
  • blocked → čeká na merged kontrakty z after; nespouštěj.
  • cycle → chybný cyklus v after; oprav kontrakty, nespouštěj.
  • launching → atomický claim drží jiný launcher; nikdy nespouštěj create.
  • running → právě jeden dirigující worktree; kandidát na resume.
  • duplicate → více .wf/active pro stejný spec; nespouštěj nic — eskaluj porovnání a ponechání jediného canonical worktree.

2. Plán

  • launchready
  • resume — session najdi přes sc agents list --output json (podle worktree/branch ze status JSONu); navrhni follow-up, ne nový worktree.
  • attentionpr-open s nevyřešenými thready

Kolize: přečti Scope každého spustitelného kontraktu. Dva specy na stejné soubory nesmí běžet paralelně — doporuč sekvenci a řekni proč.

Ukaž tabulku s jasným doporučením a ZEPTEJ se, co spustit (all / jména / recommended). Bez odpovědi nespouštěj nic.

3. Spuštění (pro každý vybraný spec)

  1. Absolutní cesta ze GATE status --json (file) — ověř, že soubor existuje a stav je pořád ready.

  2. GATE agents <spec> --jsonconductor (null = pi s default modelem).

  3. Připrav task soubor (tmp) přesně tohohle tvaru:

    Načti ~/Workspace/pi-ext/skills/wf-impl/SKILL.md a proveď kontrakt na <absolutní cesta ke contract.md>. Kontrakt žije mimo repozitář — přečti ho z té přesné cesty. Pracuj jen v tomhle worktree. Nevytvářej worktree. Produktové rozhodnutí, které z kontraktu neodvodíš, napiš jako otázku do PR / review threadu a tu fázi pozastav.

Read the full file on GitHub · 83 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 83 lines · 85 tokens per session scan A c98e6411c32f

Subscribe to this mod's changes

wf-run is a skill published in the GitHub repository tomsej/pi-ext (69 stars, last pushed 2d ago), licensed MIT. It adds 85 tokens to every session and 1,323 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens