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.
curl -O https://raw.githubusercontent.com/GeoloeG-IsT/agents-reverse-engineer/main/.claude/skills/are-plan/SKILL.mdgit clone --depth 1 https://github.com/GeoloeG-IsT/agents-reverse-engineerWrote 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.
[](https://agentmods.dev/skills/geoloeg-ist/agents-reverse-engineer/are-plan)<a href="https://agentmods.dev/skills/geoloeg-ist/agents-reverse-engineer/are-plan"><img src="https://agentmods.dev/badge/skills/geoloeg-ist/agents-reverse-engineer/are-plan.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00386 |
| Opus 5 | $0.00008 | $0.00193 |
| Sonnet 5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
are-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Compare AI planning quality with and without ARE documentation.
Steps
-
Read version: Read
.claude/ARE-VERSION→ store as$VERSION. Show the user:agents-reverse-engineer v$VERSION -
Run the plan command:
npx agents-reverse-engineer@$VERSION plan --backend claude $ARGUMENTS -
Wait for completion — the command runs two sequential AI planning sessions (without docs, then with docs) and outputs a comparison table.
-
On completion, summarize the comparison results:
- Quantitative metrics (file references, actionable steps, code identifiers)
- Cost and latency comparison
- Quality evaluation scores (if
--evalwas used)
This creates two git branches from HEAD and runs an AI planner in each:
- With ARE docs: Full documentation available
- Without ARE docs: Source code only (ARE artifacts stripped)
The comparison measures how much ARE documentation improves AI planning quality.
Options:
--eval: Run AI quality evaluator on both plans (5-point rubric)--eval-model <name>: Model for the evaluator (default: same as --model)--model <name>: AI model to use for planning--dry-run: Show what would happen without executing--list: List all saved plan comparisons--show <id>: View a previous comparison by date--force: Overwrite existing branches for the same task--debug: Show verbose AI execution details
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.
- 8d ago First seen · 44 lines · 15 tokens per session scan A 0e5cf71daa34
are-plan is a skill published in the GitHub repository GeoloeG-IsT/agents-reverse-engineer (20 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 386 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.
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