open-scholar-peer: Instructions file for Codex

AGENTS.md

open-scholar-peer AGENTS.md is an instructions file for Codex, OpenCode from amirkiarafiei/open-scholar-peer. It costs 6,249 tokens per session, scanned A, original, MIT.

A project guide for Open ScholarPeer, a collection of prompts, commands, skills, and an MCP server for automated scientific-paper peer review. An MCP server is a program that lets an AI tool use external capabilities or project data.

In plain words
What is it for?
Maintaining the peer-review prompts and adapters, checking the project structure, and regenerating tool-specific instructions after shared-rule changes.
Why use it?
It explains that the project is configuration rather than a conventional application and shows how shared rules are synchronized across supported AI tools.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents; mentions Claude Code; mentions AGENTS.md.

This is amirkiarafiei/open-scholar-peer's own configuration. It tells Codex and OpenCode how to work on open-scholar-peer 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 open-scholar-peer configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is cd mcp-server && PYTHONPATH=. ../.venv/bin/python osp_mcp.py.

Reuse

Borrowing it

Nothing to install: this file belongs to amirkiarafiei/open-scholar-peer. 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/amirkiarafiei/open-scholar-peer/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/amirkiarafiei/open-scholar-peer

Made for: Codex, OpenCode.

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Per session 6,249 This file is loaded in full into every session.
When invoked 6,249 The same file — it is already loaded in full.
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 $0.06249 $0.06249
Opus 5.5 $0.02500 $0.02500
Sonnet 5.5 $0.01250 $0.01250
Haiku 4.5 $0.00625 $0.00625

Measured 1mo ago against content hash f1387fae3eb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

open-scholar-peer 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 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.

AGENTS.md · 366 lines

How it starts

The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Open ScholarPeer

Init-style instructions for AI agents doing development on this repo. Read this first; depth lives in docs/. (This file is for agents working on OSP itself — NOT the file end users get in their project. A separate user-facing AGENTS.md is generated by the installers for tools that read project-root AGENTS.md (Copilot CLI, Codex, Kimi, Vibe, OpenCode, OpenHands), via scripts/merge_agents_md.sh from extensions/_shared/rules/osp-rules.md.)

What this project is

Open ScholarPeer (OSP) implements the paper "ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review" as a portable set of skills, slash commands, and an MCP server that install into a user's project across 21 AI tools (Claude Code, Cursor, Gemini CLI, Copilot CLI, Antigravity, Antigravity CLI, Codex CLI, Qwen Code, OpenCode, Junie, Kiro, Kimi Code, Mistral Vibe, OpenHands, Pi, Oh My Pi, Grok Build, Hermes, Cline, Kilo Code, OpenClaw).

There is no runtime code. OSP is configuration-as-code. The library is the prompts and the sync infrastructure that keeps them consistent across tools.

Commands you will actually run

# After any edit under extensions/_shared/, regenerate adapters:
python3 scripts/sync_adapters.py

# Validate per-tool parity (must pass before any commit touching _shared/):
python3 scripts/test_parity.py

# Smoke-test all 21 installers in temp dirs (must pass before tagging release):
bash scripts/test_install.sh

# Syntax-check shell scripts:
for f in install.sh scripts/*.sh; do bash -n "$f" && echo "  ✓ $f" || echo "  ✗ $f"; done

# Syntax-check Python files (no formal linter configured).
# Globbed, not listed: the old fixed list left mcp-server/providers/ uncovered,
# so a syntax error in a provider was caught by nothing at all.
# compile(), not ast.parse(): ast.parse accepts things Python then refuses,
# such as reading a module global before declaring `global` in the same
# function. That exact mistake got past an ast.parse check on 2026-09-20.
python3 -c "import glob; [compile(open(f).read(), f, 'exec') for f in glob.glob('mcp-server/**/*.py',recursive=True)+glob.glob('scripts/*.py')]"

# Build the dev virtualenv at the REPO ROOT, never inside mcp-server/:
# init_mcp.sh does `cp -r mcp-server/. .open-scholar-peer/mcp/`, so a venv
# left in mcp-server/ is copied into every user's project.
python3 -m venv .venv && .venv/bin/pip install -r mcp-server/requirements.txt

# Provider checks. Nothing else in the repo loads mcp-server/providers/.
# Both need the venv above — the providers import bs4, arxiv and
# semanticscholar, so plain `python3` fails with ModuleNotFoundError.
.venv/bin/python scripts/test_providers_unit.py   # offline, ~1s, every change
.venv/bin/python scripts/test_providers.py        # live APIs, opt-in

# Run the MCP server standalone (debug mode):
cd mcp-server && PYTHONPATH=. ../.venv/bin/python osp_mcp.py

Read the full file on GitHub · 366 lines

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 Changed · +66 lines · +1,319 tokens per session f1387fae3eb1
  2. 1mo ago Changed · +112 lines · +1,797 tokens per session fb45ed948fac
  3. 2mo ago First seen · 188 lines · 3,133 tokens per session scan A 5f73233c9835

Subscribe to this mod's changes

open-scholar-peer AGENTS.md is an instructions file published in the GitHub repository amirkiarafiei/open-scholar-peer (51 stars, last pushed 5d ago), licensed MIT. It adds 6,249 tokens to every session, about $0.0250 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.

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