wf-quick

wf-quick is a skill for Claude Code from tomsej/pi-ext. It costs 75 tokens per session (735 once invoked), scanned A, original, MIT.

A lightweight workflow for small fixes and features, using the chat as the task agreement and ending with a draft GitHub pull request. It uses test-driven development (write a failing test first), then reviews riskier changes.

In plain words
What is it for?
Use it for a small bug fix or feature with up to three acceptance checks and about five affected files. It creates a branch, guides implementation and tests, and prepares an explanation with a draft pull request.
Why use it?
It keeps small tasks moving without a separate contract or worktree, while setting clear limits so larger or risky work is handled by a fuller process.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it for a small bug fix or feature with up to three acceptance checks and about five affected files. It creates a branch, guides implementation and tests, and prepares an explanation with a draft pull request.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tomsej/pi-ext/wf-quick
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.

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

Made for: Claude Code.

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-quick

README.md
[![agentmods](https://agentmods.dev/badge/skills/tomsej/pi-ext/wf-quick/github.svg)](https://agentmods.dev/skills/tomsej/pi-ext/wf-quick)
Your own site
<a href="https://agentmods.dev/skills/tomsej/pi-ext/wf-quick"><img src="https://agentmods.dev/badge/skills/tomsej/pi-ext/wf-quick/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for wf-quick

Your own site · 80×15
<a href="https://agentmods.dev/skills/tomsej/pi-ext/wf-quick"><img src="https://agentmods.dev/badge/skills/tomsej/pi-ext/wf-quick.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 735 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 15
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium Agent Snooping · line 43
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00075 $0.00735
Opus 5.5 $0.00030 $0.00294
Sonnet 5.5 $0.00015 $0.00147
Haiku 4.5 $0.00007 $0.00073

Measured 1mo ago against content hash adcd4d94e81f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wf-quick 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 1mo 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-quick/SKILL.md · 51 lines

What it actually says

/wf-quick — malý task bez ceremonie

Celý cyklus v TÉHLE session — žádný soubor kontraktu, žádný worktree, žádný wf-gate. Chat je kontrakt. Endgame: draft PR + explain. Nikdy gh pr merge.

Eskalační ventil

Překročí-li task kterýkoli limit, zastav a napiš „tohle je /wf case" — kontrakt vytvoří skill wf z ~/Workspace/pi-ext/skills/wf/SKILL.md:

  • víc než 3 akceptační kritéria,
  • víc než ~5 dotčených souborů,
  • migrace, destruktivní operace, auth/security, nové veřejné API.

Ventil platí i v průběhu — když task přeroste pod rukama, zastav a eskaluj, nedojížděj ho quick režimem.

Postup

  1. Kritéria: navrhni 1–3 pozorovatelná kritéria (styl jako ve /wf) a nech si je v chatu odsouhlasit — bez souhlasu nezačínej.
  2. Branch: nová branch z čisté default branche (git switch -c <type>/<slug>). Jsi-li na feature branchi s rozdělanou prací, zeptej se.
  3. Implementace: načti skill tdd — jeden failing test na kritérium → minimální kód → refactor na zeleném. Test nikdy neoslabuj.
  4. Review (risk-based): default žádné. Sahá-li změna na auth/vstupy/data nebo o to uživatel požádá → jeden read-only reviewer přes subagent_spawn s jiným modelem nebo harnessem, než má tahle session — cross-model, jinak nemá cenu. Nálezy jsou tvrzení (severita + file:line); ověř je proti kódu, legitimní oprav sám.
  5. Check: existující quick příkaz projektu (npm test, make check …) — žádný nový gate skript.
  6. Ship: commit dle skillu commit; gh pr create --draft, titulek Conventional Commits, popis anglicky a krátce: Why / What changed / Verification (bez wf-spec markeru — quick nemá spec).
  7. Explain: načti skill wf-explain z ~/Workspace/pi-ext/skills/wf-explain/SKILL.md standalone s ref range <target>...HEAD — zapíše ~/Workspace/specs/<projekt>/YYYY-MM-DD-<slug>/explanation.md.

Report (česky)

Kritéria → testy, review (kdo / žádné a proč), výsledek checku, PR link, cesta k explain dokumentu.

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. 1mo ago First seen · 51 lines · 75 tokens per session scan A adcd4d94e81f

Subscribe to this mod's changes

wf-quick is a skill published in the GitHub repository tomsej/pi-ext (79 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 735 once invoked, about $0.0003 per session on Opus 5.5. 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.