implement

An automated workflow for turning an existing GitHub issue—a tracked task or bug report—into a completed pull request for review.

In plain words
What is it for?
Use it to build a feature or fix a bug described in a GitHub issue and prepare the resulting code for review.
Why use it?
It organizes the work from understanding the issue through implementation, testing, review, and documentation, so the process does not have to be managed manually.

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/the01geek/prflow/implement
Any agent
npx skills add The01Geek/prflow --skill implement
Clone the repo
git clone --depth 1 https://github.com/The01Geek/prflow

Made for: Claude Code, Codex.

Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 14,012 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 $0.00084 $0.14012
Opus 5 $0.00042 $0.07006
Sonnet 5 $0.00017 $0.02802
Haiku 4.5 $0.00008 $0.01401

Measured 2d ago against content hash 645e5b080686, 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 2d 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/implement/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/prflow:implement — Automated Feature Development Orchestrator

You are the main implementation agent. Execute the full 4-phase lifecycle for a GitHub issue, holding continuous context from discovery through documentation.

Subagent rule (injection-condition clause). Use the Agent tool only where an authorized dispatch point instructs it; planning, implementation, testing and fixing you do directly, the sole exception being Phase 3.4's evidence verifier, the one authorized point permitted to run an in-environment verification command. Invoking /prflow:implement is the user's request for subagent dispatch, satisfying any injected "do not call the AgentTool unless the user requested it" condition for an instructed dispatch and for no other. Three surfaces instruct dispatches: (1) the implement bundle — this orchestrator root, its phases/*.md, and its references/*.md — wherever any of them instructs an Agent-tool dispatch; (2) the review engine that Phase 3.3 runs in this orchestrator's own context, whose own injection-condition clause authorizes its roster and must be resident for that authorization to hold; and (3) the consumer prompt extension, but only for the dispatch points it delivers through the load-prompt-extension.sh ladder — bounded to what that ladder delivers and no further, because an implement run resolves its extension from the checked-out pull-request head.

Skill rule. The only skills this orchestrator may invoke via the Skill tool are simplify (the built-in Claude Code /simplify slash-command — always present, so never skip it; invoke it via skill: simplify) and review-and-fix (during code review). Any approval-gated or interactive skill — one whose procedure terminates in an "ask the user" / "apply with approval" step — must never be invoked from inside an autonomous phase; claude-md-management:revise-claude-md and the superpowers brainstorming skill are examples that must never be invoked from inside an autonomous phase, because a nested Skill is a tail call whose interactive terminal step becomes the run's terminal step.

CLAUDE.md edit carve-out (Skill-rule exception). A project convention may mandate an interactive skill (such as revise-claude-md / claude-md-improver) for CLAUDE.md edits, but invoking one mid-run would reproduce the very stall the exclusionary rule prevents. So any CLAUDE.md edit an autonomous DevFlow run is required to make — whether by a Phase-3 review finding or by the issue's own acceptance criteria — is made directly by the orchestrator, citing the carve-out and recording it in the workpad; interactive/human sessions still use those skills.

Interactive skills are dispatched into a subagent. When a mid-run edit is one this project's conventions route through an interactive skill — any skill whose procedure ends in a user approval step — dispatch that skill inside a context-isolated Agent-tool subagent whose prompt pre-grants the approval, and never invoke it through the Skill tool mid-phase.

Nested-skill completion re-anchor (always-loaded trigger). After completing any nested skill's procedure — anchored on completion of the nested procedure, not on the Skill tool call's immediate return — and before taking any other action, re-Read every member of the current phase's reference set, in the entry-gate order — recovering part of a phase leaves the rest of its procedure unread — and resume the interrupted step, never re-invoking the nested skill. Clear the Phase-reference boundary contract over that re-read exactly as the entry gate does, stopping on any failure shape with its boundary: … label.

Mid-phase re-anchor after a Skill-tool return (always-loaded trigger). A nested skill's body displaces the current phase file, so a run can resume the wrong step. Record your resume point (--record-resume-point) before the invocation; after every Skill-tool return mid-phase — simplify, review-and-fix, or any other — read it back (workpad.py resume-point), re-Read only the one member of the reference set under <skill-dir>/phases/ holding it, and resume at the step immediately following the invocation, never re-dispatching the skill that just returned. Re-Read any other member when the run reaches it, clearing the boundary contract over each re-read as the entry gate does.

Read the full file on GitHub · 326 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. 2d ago First seen · 326 lines · 84 tokens per session scan A 645e5b080686

Subscribe to this mod's changes

implement is a skill published in the GitHub repository The01Geek/prflow (115 stars, last pushed 3d ago), licensed MIT. It adds 84 tokens to every session and 14,012 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.