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-generate/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-generate)<a href="https://agentmods.dev/skills/geoloeg-ist/agents-reverse-engineer/are-generate"><img src="https://agentmods.dev/badge/skills/geoloeg-ist/agents-reverse-engineer/are-generate.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 | $0.00013 | $0.00577 |
| Opus 5 | $0.00006 | $0.00289 |
| Sonnet 5 | $0.00003 | $0.00115 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
are-generate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Generate comprehensive documentation for this codebase using agents-reverse-engineer.
Steps
-
Read version: Read
.claude/ARE-VERSION→ store as$VERSION. Show the user:agents-reverse-engineer v$VERSION -
Run the generate command in the background using
run_in_background: true:npx agents-reverse-engineer@$VERSION generate --backend claude $ARGUMENTS -
Monitor progress by polling the latest progress log:
- Wait ~15 seconds (use
sleep 15in Bash), then use Glob to find the latest.agents-reverse-engineer/progress-*.logfile, and Read it (use theoffsetparameter to read only the last ~20 lines for long files) - Show the user a brief progress update (e.g. "32/96 files analyzed, ~12m remaining")
- Check whether the background task has completed using
TaskOutputwithblock: false - Repeat until the background task finishes
- Important: Keep polling even if no progress log exists yet (the command takes a few seconds to start writing)
- Wait ~15 seconds (use
-
On completion, read the full background task output and summarize:
- Number of files analyzed and any failures
- Number of directories documented
- Any inconsistency warnings from the quality report
This executes a two-phase pipeline:
-
File Analysis (concurrent): Discovers files, applies filters, then analyzes each source file via AI and writes
.sumsummary files with YAML frontmatter (content_hash,file_type,purpose,public_interface,dependencies,patterns). -
Directory Aggregation (sequential): Generates
AGENTS.mdper directory in post-order traversal (deepest first, so child summaries feed into parents), and writesCLAUDE.mdpointers.
Options:
--dry-run: Preview the plan without making AI calls--eval: Namespace output by backend.model for side-by-side comparison (e.g.,file.ts.claude.haiku.sum,AGENTS.claude.haiku.md)--concurrency N: Control number of parallel AI calls (default: auto)--fail-fast: Stop on first file analysis failure--debug: Show AI prompts and backend details--trace: Enable concurrency tracing to.agents-reverse-engineer/traces/
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 · 47 lines · 13 tokens per session scan A cb24126a4568
are-generate is a skill published in the GitHub repository GeoloeG-IsT/agents-reverse-engineer (20 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 577 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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performance-optimizer
Use for slow endpoints, p95/p99 latency, database query issues, frontend bundle/render performance, memory leaks, caching, profiling, or performance regressions.