What is frenchie-method?

A structured workflow for developing software with AI assistance, covering requirements, tests, architecture, implementation, review, release checks, and project documents.

Use it to run requirement and quality analysis, design tests, guide implementation, review changes, perform release checks, and store development artifacts.

It gives a team a consistent path from an idea to a release instead of leaving each development step disconnected.

frenchie-method — Skill for Claude Code and Codex by Lab94

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 Lab94/frenchie-skill --skill frenchie-method

Clone the repo

git clone --depth 1 https://github.com/Lab94/frenchie-skill

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lab94/frenchie-skill/frenchie-method/github.svg)](https://agentmods.dev/skills/lab94/frenchie-skill/frenchie-method)

Your own site

<a href="https://agentmods.dev/skills/lab94/frenchie-skill/frenchie-method"><img src="https://agentmods.dev/badge/skills/lab94/frenchie-skill/frenchie-method/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/lab94/frenchie-skill/frenchie-method"><img src="https://agentmods.dev/badge/skills/lab94/frenchie-skill/frenchie-method.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,574 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.01574
Opus 5.5	$0.00014	$0.00630
Sonnet 5.5	$0.00007	$0.00315
Haiku 4.5	$0.00004	$0.00157

Measured 1mo ago against content hash 042c48267acd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

frenchie-method 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/frenchie-method/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frenchie Method

Frenchie Method is the workflow/process layer. Frenchie Kit is the file and multimodal capability layer.

/frenchie-method starts Method orchestration.
/frenchie remains Frenchie Kit and must not be treated as a Method alias.
Text-only Method usage does not require a Frenchie API key.
Install skills alongside MCP tools with npx @lab94/frenchie install.
Codex Desktop exposes slash entrypoints by skill name, not by reading .claude/commands/*.md. The Codex installer creates wrapper skills such as requirement, qa-analysis, and implement so /requirement can work after restart. If a host does not expose those wrappers, treat no-slash requests such as Frenchie Method requirement ... as the corresponding Method command.

Runtime Defaults

Use .frenchie/method.config.json when present. If it is missing, continue with production-safe defaults:

artifacts: .frenchie/docs/feature
knowledge: .frenchie/docs/knowledge
worktrees enabled by default
orchestrator recommends the full sequence; direct commands warn-and-continue
artifact language: auto
cross-model review: off
skill triggers: command-key skeleton is present; defaults are empty because installed skill sets vary by agent

Command Routing

The slash form below is the canonical Method command name. Claude Code reads command files directly. Codex uses wrapper skills with the same names. If the host agent does not support either path, recognize the same names without the leading slash when the user clearly asks to use Frenchie Method.

Tier 1 commands:

/frenchie-method
/method-check
/prepare-feature
/documenting-code
/requirement
/qa-analysis      alias /test-case
/design           conditional
/security-review
/sa-analysis      alias /implementation-plan
/task-plan
/implement
/run-test
/walkthrough
/create-pr
/pr-review        alias /review-pr
/quality-score
/fix-review
/systematic-debug alias /debug /fix-bug
/release-check
/release
/job-done

Read the full file on GitHub · 151 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.

1mo ago First seen · 151 lines · 36 tokens per session scan A 042c48267acd

Subscribe to this mod's changes

frenchie-method is a skill published in the GitHub repository Lab94/frenchie-skill (0 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 1,574 once invoked, about $0.0001 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 2026-08-31.

Planning Project management

story-readiness

Checks whether a story is ready to implement: clear acceptance criteria, no open questions, valid ADR and dependencies. Use when the user asks if a story, or the sprint's stories, are ready to start or build.

Donchitos/Claude-Code-Game-Studios · 48 tokens

recipe-create-meet-space

Create a Google Meet meeting space and share the join link.

googleworkspace/cli · 18 tokens

workthreads

SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…

specstoryai/getspecstory · 126 tokens

atmos-config

Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.

cloudposse/atmos · 31 tokens

qa-project-bootstrap

Onboard a new QA engineer to an existing codebase, or audit an existing test architecture. Produces a 30-day ramp plan: codebase orientation, framework walkthrough, test architecture audit, mentorship pairing, and first-test guidance. Use when: "QA onboarding," "new tester," "ramp up," "test architecture audit,"…

petrkindlmann/qa-skills · 124 tokens

handle-linkedin-connection-request-signal

Use this skill when someone sends a team member an inbound LinkedIn connection request. An inbound request is a deliberate, ACTIVE first-party intent signal — meaningfully stronger than a passive profile view — and it deserves different scoring rules. The skill resolves and enriches the requester, gates them through…

swan-gtm/gtm-skills · 160 tokens