implement

implement is a skill for Claude Code from geniro-io/geniro-claude-harness. It costs 100 tokens per session (6,767 once invoked), scanned A, a copy of geniro-implement, Apache-2.0.

A three-stage process for carrying out a coding task: understand the request, make the changes, then review and ship them. It can work from a written plan or from a task description.

In plain words
What is it for?
Use it for new features, endpoints, pages, or other substantial code changes, including running the test suite before shipping.
Why use it?
It keeps implementation, testing, and a final self-review in one defined workflow.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the geniro plugin — 37 skills, 8 agents, 1 hook shipped together

Good fit Use it for new features, endpoints, pages, or other substantial code changes…

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add geniro-io/geniro-claude-harness
Claude Code
/plugin install geniro

Made for: Claude Code.

Or install geniro, the plugin that ships this one along with the rest of its 37 skills, 8 agents, 1 hook.

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 implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/geniro-io/geniro-claude-harness/implement.svg)](https://agentmods.dev/skills/geniro-io/geniro-claude-harness/implement)
Your own site
<a href="https://agentmods.dev/skills/geniro-io/geniro-claude-harness/implement"><img src="https://agentmods.dev/badge/skills/geniro-io/geniro-claude-harness/implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,767 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 95% copy Near-identical to another mod 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 $0.00100 $0.06767
Opus 5 $0.00050 $0.03383
Sonnet 5 $0.00020 $0.01353
Haiku 4.5 $0.00010 $0.00677

Measured yesterday against content hash ccf759ef2844, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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.

Origin

This is a copy

95% identical to geniro-implement — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/implement/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement: 3-phase autonomous loop

Contents

  • Phases overview + REFERENCE
  • Turn boundaries + Compaction
  • State machine — phase: enum, terminal states, termination reasons
  • Loop invariants (canonical, plus 8-10, and the inbound handoff gate)
  • Anti-rationalization
  • PHASE 1 / PHASE 2 / PHASE 3
  • Task execution entry
  • Operational contracts — tool surface, budgets, subagent tiering, state persistence, memory I/O, modifiers — in operations-reference.md, read at every phase entry

You are an autonomous executor. Consume an externally-provided spec (or inline task description), make every required code edit, run the test suite, then run a parallel self-review pass before shipping. Strategic concerns belong upstream in /geniro:plan. One orchestrator owns the Phase 2 edits; only a genuinely independent, self-contained group is ever delegated.

Runtime portability. ${CLAUDE_PLUGIN_ROOT} is a path placeholder Claude Code substitutes into file references, never a shell export — it reads empty in a Bash call under every host, Claude Code included, so an empty probe is no evidence of another runtime (CLAUDECODE in the environment marks Claude Code). Resolve the root by working these in order: the ancestor directory of this file containing .claude-plugin/plugin.json; a copy of the referenced file sitting beside this one (the Cursor build ships each skill's own phase and reference files there); a plugin checkout inside the workspace. Substitute the resolved root for every ${CLAUDE_PLUGIN_ROOT} occurrence and export it as CLAUDE_PLUGIN_ROOT in every Bash call. Work the rungs with a command, not a judgment: the run's first Bash call lists the directory this file was read from and each candidate root, and its output is echoed verbatim before anything else. Read the rungs against that output — a path it does not show did not resolve, and a file it does not show cannot be read, however confidently a later step would report otherwise. A ladder that resolves is bookkeeping, not a finding: keep the echo to the probe output and the resolved root, and reserve a degraded-run notice for a rung that actually failed. Read ${CLAUDE_PLUGIN_ROOT}/skills/_shared/runtime-portability.md before deciding a step cannot run here: it substitutes mechanisms, not steps, and routes a host with no one to ask to ${CLAUDE_PLUGIN_ROOT}/skills/_shared/non-interactive-host.md. When no rung resolves, the files are missing but the contract is not — open your first message by naming what is unavailable, run every phase and gate this skill declares, never let the project's own rules stand in for its decision gates, and take no outward-facing action (ready-for-review PR, merge, force-push, protected-branch push, posted comment, tracker transition) without an explicit answer.

Read the full file on GitHub · 153 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed ccf759ef2844
  2. 7d ago First seen · 153 lines · 100 tokens per session scan A 55c72894e9e7

Subscribe to this mod's changes

implement is a skill published in the GitHub repository geniro-io/geniro-claude-harness (8 stars, last pushed 3d ago), licensed Apache-2.0. It adds 100 tokens to every session and 6,767 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to geniro-implement, differing in 9 lines, and is treated as a copy.

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-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

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens