Borrowing it
Nothing to install: this file belongs to Masqiller/ARG-RESEARCHER-V4.1. 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/Masqiller/ARG-RESEARCHER-V4.1/main/AGENTS.mdgit clone --depth 1 https://github.com/Masqiller/ARG-RESEARCHER-V4.1Wrote 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/masqiller/arg-researcher-v4.1/agents-md)<a href="https://agentmods.dev/instructions/masqiller/arg-researcher-v4.1/agents-md"><img src="https://agentmods.dev/badge/instructions/masqiller/arg-researcher-v4.1/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/masqiller/arg-researcher-v4.1/agents-md"><img src="https://agentmods.dev/badge/instructions/masqiller/arg-researcher-v4.1/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 | $0.00703 | $0.00703 |
| Opus 5 | $0.00351 | $0.00351 |
| Sonnet 5 | $0.00141 | $0.00141 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
ARG-RESEARCHER-V4.1 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 12d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — ARG Researcher
Cross-tool agent instructions. Automatically loaded by Google Antigravity (v1.20.3+), Claude Code, and Cursor.
This workspace contains the Academic Research Graphify (ARG) suite: 38 specialized AI agents across 4 skills and 26 modes, covering the full academic research lifecycle from idea to publication.
Slash Commands
| Command | What it does |
|---|---|
/arg-full |
Full pipeline: research → write → review → revise → finalize |
/arg-plan |
Socratic chapter-by-chapter planning + Diagram Plan |
/arg-outline |
Detailed outline + evidence map |
/arg-abstract |
Bilingual abstract (EN + zh-TW) + keywords |
/arg-revision |
Revised draft + point-by-point R&R responses |
/arg-revision-coach |
Revision Roadmap + Response Letter Skeleton |
/arg-lit-review |
Annotated bibliography in paper format |
/arg-format-convert |
Convert to LaTeX / DOCX / PDF / Markdown |
/arg-citation-check |
Citation error report + auto-corrections |
/arg-disclosure |
Venue-specific AI-usage disclosure statement |
/arg-diagram |
Standalone diagram (TikZ / Mermaid / PGFPlots) |
Intent Routing
- "write a paper" / "research paper" →
/arg-full - "plan my paper" / "chapter structure" →
/arg-plan - "just an outline" →
/arg-outline - "literature review" / "annotated bibliography" →
/arg-lit-review - "write abstract" →
/arg-abstract - "revise paper" / "reviewer comments" →
/arg-revision - "parse reviews" / "coaching on response" →
/arg-revision-coach - "check citations" / "verify references" →
/arg-citation-check - "convert to LaTeX" / "export DOCX" →
/arg-format-convert - "AI disclosure" →
/arg-disclosure - "generate diagram" / "draw a flowchart" →
/arg-diagram
Core Rules
- Every claim must have a citation
- Three-layer citation protocol: format → source existence → claim-faithfulness anchoring
- Evidence hierarchy: meta-analyses > RCTs > cohort > case reports > expert opinion
- AI disclosure included in all outputs
- Default language matches user input (English or Traditional Chinese)
- For Robotics/AI papers: apply Tier 1 venue registry (T-RO, RA-L, IJRR, Science Robotics, ICRA, IROS, CoRL, RSS), enforce 2021–2026 time range
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.
- 12d ago First seen · 64 lines · 703 tokens per session scan A 04e22679c6d4
ARG-RESEARCHER-V4.1 AGENTS.md is an instructions file published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 703 tokens to every session, about $0.0035 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 2026-08-31.
Other instructions, from other repositories
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.
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).
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.
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).