Borrowing it
Nothing to install: this file belongs to Ingar30/reviewer. 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/Ingar30/reviewer/main/AGENTS.mdgit clone --depth 1 https://github.com/Ingar30/reviewerWrote 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/instructions/ingar30/reviewer/agents-md)<a href="https://agentmods.dev/instructions/ingar30/reviewer/agents-md"><img src="https://agentmods.dev/badge/instructions/ingar30/reviewer/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/ingar30/reviewer/agents-md"><img src="https://agentmods.dev/badge/instructions/ingar30/reviewer/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01468 | $0.01468 |
| Opus 5.5 | $0.00587 | $0.00587 |
| Sonnet 5.5 | $0.00294 | $0.00294 |
| Haiku 4.5 | $0.00147 | $0.00147 |
Grade A, and why
reviewer AGENTS.md 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 14d 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project purpose
This repository builds and runs a reproducible multi-agent reviewer for academic economics papers.
The normal workflow is:
- Put source PDFs in
inputs/. - Preprocess each paper into structured artifacts under
work/<paper_id>/parsed/. - Render run-specific prompts under
work/<paper_id>/prompts/. - Run parser-quality preflight before substantive review.
- Route substantive reviewers around parser-quality warnings using deterministic artifacts.
- Run the single conservative applicability router. The 8 universal review-stage auditors always run; conditional specialists are skipped only when their entire remit is clearly absent. Mixed, unknown, or lower-confidence classifications expand to every conditional specialist.
- Store applicability provenance and the active reviewer roster under
work/<paper_id>/selection/. - Rerender prompts for the selected reviewer roster with parser-quality guidance.
- Run the selected reviewer agents on the parsed artifacts.
- Store and validate reviewer JSON outputs under
work/<paper_id>/reviews/. - Conservatively normalize reviewer outputs into a precision-first, lossless editor bundle that preserves every source finding's details and avoids merging distinct concerns.
- Build editor input from a deterministic brief, the lossless normalized bundle, and a compact provenance index for the validated reviewer JSON files. Do not duplicate raw reviewer JSON or truncate evidence.
- Run the editor to author structured editorial decisions/prose, then validate and deterministically render the final Markdown under
outputs/<paper_id>/report.md. - Smoke-check the final report.
Canonical file locations
- Source PDFs:
inputs/ - Parsed artifacts:
work/<paper_id>/parsed/ - Reviewer outputs:
work/<paper_id>/reviews/ - Reviewer selection:
work/<paper_id>/selection/ - Final reports:
outputs/<paper_id>/
Path conventions
- If the user refers to a bare source PDF filename, first resolve it under
inputs/. - Prefer project-relative paths over absolute paths when possible.
- Do not assume a file is outside the repo unless the user explicitly says so.
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.
- 14d ago Changed · +23 tokens per session 493078b376ff
- 1mo ago Changed · +62 tokens per session f2dd2f199872
- 1mo ago Changed · +1 lines · +78 tokens per session 4b16e66e1ab0
- 1mo ago Changed · +81 tokens per session 702e0e15b7c3
- 1mo ago Changed · +7 lines · +185 tokens per session 16a50c9e7cf0
- 2mo ago Changed · +1 lines · +187 tokens per session 2497229e96f8
- 2mo ago First seen · 65 lines · 852 tokens per session scan A 46a9b6700a4a
reviewer AGENTS.md is an instructions file published in the GitHub repository Ingar30/reviewer (230 stars, last pushed 8d ago), licensed MIT. It adds 1,468 tokens to every session, about $0.0059 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.
reviewer AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reviewer AGENTS.mdIngar30/reviewer | Instructions file | 230 | 8d ago | MIT | A | 1,468 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |