agents-reverse-engineer: Skill for Claude Code

.claude/skills/are-implement/SKILL.md

are-implement is a skill for Claude Code 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 Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is GeoloeG-IsT/agents-reverse-engineer's own configuration. It tells Claude Code how to work on agents-reverse-engineer itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents-reverse-engineer configures →

Reuse

Borrowing it

Nothing to install: this file belongs to GeoloeG-IsT/agents-reverse-engineer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/GeoloeG-IsT/agents-reverse-engineer/main/.claude/skills/are-implement/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/GeoloeG-IsT/agents-reverse-engineer

Made for: Claude Code.

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
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Your own site
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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.

agentmods 80×15 button for are-implement

Your own site · 80×15
<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="Reviewed on agentmods" width="80" 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. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00546
Opus 5.5 $0.00006 $0.00218
Sonnet 5.5 $0.00003 $0.00109
Haiku 4.5 $0.00001 $0.00055

Measured 1mo ago against content hash c8db8ddcf367, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

.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. 1mo 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 (22 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 546 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 2026-08-30.