are-implement

are-implement is a skill for Claude Code, Codex from GeoloeG-IsT/agents-reverse-engineer. It costs 14 tokens per session (546 once invoked), scanned A, original, MIT.

An implementation comparison workflow runs an AI coding task with and without project documentation, then compares the results. The comparison covers the files changed, tests, builds, lint checks, cost, timing, and optional quality scores.

In plain words
What is it for?
Use it to implement a planned task in two worktrees, compare documented and undocumented runs, and review their code and verification results.
Why use it?
It shows whether the documentation actually improves implementation results and what that improvement costs.

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/geoloeg-ist/agents-reverse-engineer/are-implement
Any agent
npx skills add GeoloeG-IsT/agents-reverse-engineer --skill are-implement
Clone the repo
git clone --depth 1 https://github.com/GeoloeG-IsT/agents-reverse-engineer

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.

agentmods badge for are-implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/geoloeg-ist/agents-reverse-engineer/are-implement.svg)](https://agentmods.dev/skills/geoloeg-ist/agents-reverse-engineer/are-implement)
Your own site
<a href="https://agentmods.dev/skills/geoloeg-ist/agents-reverse-engineer/are-implement"><img src="https://agentmods.dev/badge/skills/geoloeg-ist/agents-reverse-engineer/are-implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 546 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 $0.00014 $0.00546
Opus 5 $0.00007 $0.00273
Sonnet 5 $0.00003 $0.00109
Haiku 4.5 $0.00001 $0.00055

Measured 5d ago against content hash c8db8ddcf367, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

are-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 5d 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.

.claude/skills/are-implement/SKILL.md · 52 lines

What it actually says

Execute the implementation phase with and without ARE documentation to measure impact.

Steps

  1. Read version: Read .claude/ARE-VERSION → store as $VERSION. Show the user: agents-reverse-engineer v$VERSION

  2. Run the implement command:

    npx agents-reverse-engineer@$VERSION implement --backend claude $ARGUMENTS
    

    Note: When --plan-id <id> is provided, the task description is loaded from the stored plan — no need to pass it explicitly.

  3. Wait for completion — the command runs two sequential AI implementation sessions (without docs, then with docs) and outputs a comparison table.

  4. On completion, summarize the comparison results:

    • Implementation metrics (files created/modified, lines added/deleted)
    • Test results (if --run-tests was used)
    • Build and lint results (if --run-build / --run-lint was used)
    • Cost and latency comparison
    • Quality evaluation scores (if --eval was used)

This re-uses branches created by /are-plan and executes the implementation in both worktrees:

  • With ARE docs: Full documentation available during implementation
  • Without ARE docs: Source code only (ARE artifacts stripped)

The comparison measures how much ARE documentation improves implementation quality.

Options:

  • --eval: Run AI quality evaluator on both implementations
  • --eval-model <name>: Model for the evaluator (default: same as --model)
  • --model <name>: AI model to use for implementation
  • --task-slug <slug>: Reference existing plan by slug (default: auto-generate from task)
  • --plan-id <id>: Reference existing plan by ID (shown by are plan on completion)
  • --run-tests: Execute test suite and include results in metrics
  • --run-build: Execute build and verify success
  • --run-lint: Run linter and include error/warning counts
  • --dry-run: Show what would happen without executing
  • --list: List all saved implementation comparisons
  • --show <id>: View a previous comparison by date
  • --force: Overwrite existing branches for the same task
  • --debug: Show verbose AI execution details
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. 5d ago First seen · 52 lines · 14 tokens per session scan A c8db8ddcf367

Subscribe to this mod's changes

are-implement is a skill published in the GitHub repository GeoloeG-IsT/agents-reverse-engineer (20 stars, last pushed 28d ago), licensed MIT. It adds 14 tokens to every session and 546 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

audit-onboarding-proposal

Independently audit a brownfield onboarding transcript, operational map, or exact proposed documentation patch before application. Use when a fresh reviewer must verify an $onboard-repository first pass, distinguish environment-caused Unknowns from reasoning defects, score its safety and evidence gates, or run a…

hoangnb24/repository-harness · 104 tokens

engineering-wisdom

Provide an explicitly requested, repository-grounded engineering review using contextual heuristics for code clarity, SOLID and design, testing, refactoring, architecture, and professional practice. Use only when the user invokes $engineering-wisdom or explicitly asks for this installed engineering-wisdom pack; do not…

hoangnb24/repository-harness · 78 tokens

proxmox-full

Complete Proxmox VE hypervisor management via REST API - VMs, containers, snapshots, backups, storage.

marcusquinn/aidevops · 27 tokens

red-team-adversarial

Adversarial security and resilience analysis — auto-triggered during /review and /test based on task classification. Provides attack surface analysis, boundary testing, auth bypass attempts, dependency chain attacks, and Beast Mode stress testing.

KbWen/agentic-os · 50 tokens

marketing-copy

Write outbound promotional copy for a product or project: launch and update posts for community platforms and social media, store page descriptions and short blurbs, landing page headlines and calls to action, press-style announcements, and the naming of a product for another language or market. Covers what may be…

scarletkc/agents · 121 tokens

verification-before-completion

Enforce "no evidence = no completion"; run Gate Function verification before declaring done.

KbWen/agentic-os · 22 tokens