Borrowing it
Nothing to install: this file belongs to fuwenhao12/academic-ref-inserter. 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/fuwenhao12/academic-ref-inserter/main/AGENTS.mdgit clone --depth 1 https://github.com/fuwenhao12/academic-ref-inserterWrote 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/fuwenhao12/academic-ref-inserter/agents-md)<a href="https://agentmods.dev/instructions/fuwenhao12/academic-ref-inserter/agents-md"><img src="https://agentmods.dev/badge/instructions/fuwenhao12/academic-ref-inserter/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/fuwenhao12/academic-ref-inserter/agents-md"><img src="https://agentmods.dev/badge/instructions/fuwenhao12/academic-ref-inserter/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 | $0.02340 | $0.02340 |
| Opus 5 | $0.01170 | $0.01170 |
| Sonnet 5 | $0.00468 | $0.00468 |
| Haiku 4.5 | $0.00234 | $0.00234 |
Grade A, and why
academic-ref-inserter 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 9d 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Coding Assistant Compatibility Guide
Academic Ref Inserter is designed to work with all major AI coding assistants. Below is a quick reference for each platform.
Compatibility Matrix
| Assistant | Config File | Auto-Detected | Since |
|---|---|---|---|
| Cursor | .cursorrules + .cursor/rules/*.mdc |
✅ | 0.45+ |
| Claude Code | CLAUDE.md |
✅ | v1.0 |
| GitHub Copilot | .github/copilot-instructions.md |
✅ | 2025 |
| Windsurf | .windsurfrules |
✅ | Always |
| Aider | CONVENTIONS.md |
✅ | v0.73+ |
| Continue.dev | .continue/config.json |
✅ | VS Code ext |
| OpenAI Codex CLI | AGENTS.md |
✅ | v1.0 |
| Kimi Code CLI | .kimi/skills/*/SKILL.md + AGENTS.md |
✅ | v1.0 |
| Qwen Code | .qwen/skills/*/SKILL.md |
✅ | v0.16+ |
| OpenCode | opencode.json + AGENTS.md |
✅ | v1.0 |
| OpenClaw (小龙虾) | ~/.openclaw/workspace/ files |
Manual setup | v2026 |
| Gemini CLI | GEMINI.md |
Manual setup | v1.0 |
| Amazon Q Developer | AMAZON_Q.md |
Auto (VS Code) | 2025 |
| Cline (VS Code) | .clinerules |
Auto | v1.0 |
| Trae | .trae/skills/*/SKILL.md |
✅ | Built-in |
Quick Start for Any AI Assistant
When you ask your AI coding assistant to "insert references" or "format citations", the assistant will automatically detect this project and use the Academic Ref Inserter tool.
Example Prompts
# Analyze citations in my paper
python scripts/insert_refs.py analyze --input paper.docx --json
# Full pipeline (recommended)
python scripts/insert_refs.py fix --input paper.docx --format gbt7714
# IEEE format
python scripts/insert_refs.py fix --input paper.docx --format ieee
# Validate only
python scripts/insert_refs.py validate --input paper.docx --format gbt7714 --json
# Reformat only (skip hyperlinks and reorder)
python scripts/insert_refs.py reformat --input paper.docx --format apa7
JSON Output Mode
All commands support --json for structured output. AI assistants should always
use this flag for reliable parsing:
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.
- 9d ago First seen · 272 lines · 2,340 tokens per session scan A 667863da66f5
academic-ref-inserter AGENTS.md is an instructions file published in the GitHub repository fuwenhao12/academic-ref-inserter (55 stars, last pushed 3mo ago), licensed MIT. It adds 2,340 tokens to every session, about $0.0117 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.