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/.github/copilot-instructions.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/copilot-instructions)<a href="https://agentmods.dev/instructions/masqiller/arg-researcher-v4.1/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/masqiller/arg-researcher-v4.1/copilot-instructions/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/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/masqiller/arg-researcher-v4.1/copilot-instructions.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 | $0.00492 | $0.00492 |
| Opus 5 | $0.00246 | $0.00246 |
| Sonnet 5 | $0.00098 | $0.00098 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
ARG-RESEARCHER-V4.1 copilot-instructions.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 10d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Research Graphify (ARG) — GitHub Copilot Instructions
This repository contains the Academic Research Graphify (ARG) suite — a production-grade academic research pipeline with 4 skills, 25 modes, and 32+ agents.
What This Repo Does
ARG orchestrates a complete academic research workflow: research → write → review → revise → finalize. It ships 4 skills:
deep-research— 13-agent research team (literature search, synthesis, fact-checking)academic-paper— 12-agent paper writing (IMRaD structure, revision, format conversion)academic-paper-reviewer— Multi-perspective peer review (5 reviewers + editorial synthesis)academic-pipeline— Full pipeline orchestrator coordinating all above
Key Commands (Slash Commands)
When the user mentions any of these, read the corresponding SKILL.md and execute:
| Command | Skill + Mode | Output |
|---|---|---|
/arg-full |
academic-pipeline | Complete 10-stage pipeline |
/arg-plan |
academic-paper plan | Chapter Plan via Socratic dialogue |
/arg-outline |
academic-paper outline-only | Outline + evidence map |
/arg-abstract |
academic-paper abstract-only | Bilingual abstract + keywords |
/arg-revision |
academic-paper revision | Revised draft + R&R responses |
/arg-revision-coach |
academic-paper revision-coach | Revision Roadmap + Response Letter skeleton |
/arg-lit-review |
academic-paper lit-review | Annotated bibliography |
/arg-format-convert |
academic-paper format-convert | LaTeX / DOCX / PDF / Markdown conversion |
/arg-citation-check |
academic-paper citation-check | Citation error report |
/arg-disclosure |
academic-paper disclosure | AI-usage disclosure statement |
Rules for This Codebase
- All claims must have citations; evidence hierarchy is enforced
- AI disclosure is mandatory in all reports
- The
MODE_REGISTRY.mdfile is the single source of truth for all modes - Agent definitions in
agents/usemodel: inherit— they adapt to whatever model the user is running - Default output language matches user input (Traditional Chinese or English)
- Read
shared/handoff_schemas.mdfor Material Passport protocol between pipeline stages
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.
- 10d ago First seen · 38 lines · 492 tokens per session scan A 478e2e1077de
ARG-RESEARCHER-V4.1 copilot-instructions.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 492 tokens to every session, about $0.0025 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.
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