implement

A command that tells the coding agent to start implementation using the project's Method documents. Method is a workflow where requirements, acceptance criteria, tests, and an implementation plan are recorded before coding.

In plain words
What is it for?
It helps implement features, bug fixes, hotfixes, documentation, refactors, dependency updates, technical-debt work, and exploratory spikes from prepared documents.
Why use it?
It checks that the required planning documents are present and current, and stops when unanswered decisions could make implementation unsafe or unclear.

Command

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 commands/lab94/frenchie-skill/implement
Clone the repo
git clone --depth 1 https://github.com/Lab94/frenchie-skill
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 658 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 $0.00000 $0.00658
Opus 5 $0.00000 $0.00329
Sonnet 5 $0.00000 $0.00132
Haiku 4.5 $0.00000 $0.00066

Measured yesterday against content hash c5896e072579, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement 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 yesterday.

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.

method/commands/implement.md · 30 lines

How it starts

The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/implement

Instruct the executing agent to implement from Method artifacts.

Run the pre-implement readiness check before touching code:

  1. Resolve the active feature folder and read state.json.
  2. Verify the task-type-specific canonical artifacts exist and are not stale:
    • new-feature / bug-fix: 01-requirement.md, 02-acceptance-criteria.md, 03-test-case.md, 04-implementation-plan.md.
    • hotfix: 01-requirement.md, 02-acceptance-criteria.md, 03-test-case.md; 04-implementation-plan.md is expected for SEV1/SEV2/SEV3, multi-file fixes, or sensitive paths, but may be skipped for SEV4.
    • documentation, refactor, tech-debt, dep-bump, spike: 01-requirement.md; other artifacts follow their workflow docs when they are useful.
    • 05-design.md is also expected for user-facing changes.
  3. Treat unresolved state.json.openQuestions[] as a blocker until the user answers them or records explicit decisions in state.json.decisions[].
  4. Treat non-canonical numbered artifacts as blockers before implementation, especially invented files such as 03-design.md, 04-sa-analysis.md, 05-security-review.md, or 06-qa-analysis.md. Normalize content into the canonical artifacts first.
  5. Treat security-review.md in state.json.artifacts as a non-canonical Method artifact. /security-review updates the ## Security and ## Risks sections of 04-implementation-plan.md; mirror or move the decisions there before implementation.
  6. If state.json is invalid, repair state.json before editing code by regenerating it from canonical artifacts. The repaired state needs schemaVersion, artifactRoot, and artifacts.{file}.status plus artifacts.{file}.dependencies entries.

Decision Reconciliation

Before editing code, do a semantic consistency pass across 01-requirement.md, 02-acceptance-criteria.md, 03-test-case.md, 04-implementation-plan.md, and 05-design.md when present:

  • Scan for critical nouns and decision terms that affect implementation, such as auth scopes, billing units, job lifecycle, storage policy, logging/PII, external service clients, feature flags, and user-visible UX.
  • If a direction changed mid-work, purge or supersede the old decision in every artifact instead of leaving both options in place.
  • If two artifacts disagree on user-visible behavior, billing, security, storage, logging, external service boundaries, or async state, stop and ask for a decision.
  • Verify 04-implementation-plan.md has one Chosen Implementation Boundaries answer per important boundary. Do not bury competing implementation strategies in Risks.

Read the full file on GitHub · 30 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. yesterday First seen · 30 lines · 0 tokens per session scan A c5896e072579

Subscribe to this mod's changes

implement is a command published in the GitHub repository Lab94/frenchie-skill (0 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 658 tokens. 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.