Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/verymath/co-mathematician/agents-mdgit clone --depth 1 https://github.com/VeryMath/co-mathematicianWhat 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 | $0.01425 | $0.01425 |
| Opus 5 | $0.00713 | $0.00713 |
| Sonnet 5 | $0.00285 | $0.00285 |
| Haiku 4.5 | $0.00143 | $0.00143 |
Grade A, and why
co-mathematician 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 2d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Repository Contract
This repository is a coding-agent-driven AI Co-Mathematician workspace.
The coding agent is the driver:
- The active main conversation/session in the chosen coding agent is the Project Coordinator.
- Platform examples: Codex main thread, Claude Code main conversation, Cursor active Agent chat/session.
- The repository filesystem is the shared artifact store.
- Project-local skills under
.agents/skills/are the default skill environment. agents/roles/is the canonical role layer..codex/agents/,.claude/agents/, and.cursor/rules/are platform adapters.- Native subagents, task agents, Cursor Agent sessions, or separate reviewer passes are workstream coordinators, specialized agents, and reviewers.
- The harness only provides schemas, state files, gates, report skeletons, and validation scripts.
- Do not build a new multi-agent platform here.
- Do not start a mathematical research project during workspace initialization.
Hard Rules
- Default workspace mode uses onboarding before goal approval.
- If the user explicitly invokes a project-local domain Skill, or accepts a suggested Skill, enter skill-guided mode and follow that Skill's workflow for the inner task.
- In skill-guided mode, record the handoff with
co-math skill-handoff; do not force the default onboarding-goal-workstream sequence before the domain Skill's own opening or modeling flow. - A quick Skill task may stay outside workstreams unless the user wants durable research output, a final working paper, or reviewer-gated claims.
- During onboarding, ask the user to choose a workspace document language policy.
- Refresh the project-local skill registry at session start, after skill installation, and before formalizing goals.
- Before creating any workstream, match the workstream scope against the project-local skill registry and read any relevant
SKILL.md. - Always get explicit user approval of goals before starting any workstream.
- Never start a workstream for an unapproved goal.
- Important claims must include provenance.
- Failed explorations must be saved as durable artifacts.
- Uncertainty must be exposed explicitly in reports and status updates.
- Every workstream report must be reviewed by an independent reviewer subagent.
- A workstream whose review has not passed must not be marked complete.
- Final output must be a working paper, not a chat summary.
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.
- 2d ago First seen · 136 lines · 1,425 tokens per session scan A 3c882ac07ff8
co-mathematician AGENTS.md is an instructions file published in the GitHub repository VeryMath/co-mathematician (7 stars, last pushed 4d ago), licensed MIT. It adds 1,425 tokens to every session, about $0.0071 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
academic-research-skills copilot-instructions.md
AI-augmented academic research pipeline with integrity verification.
notebooklm-skill AGENTS.md
Instructions for claude-world/notebooklm-skill, covering notebooklm-skill, authentication, cli commands, notebooklm-skill — core operations and notebooklm-pipeline — workflow orchestration.
airas copilot-instructions.md
Instructions for airas-org/airas, a project described as: AIRAS - an open-source project for research automation.
SutroYaro GEMINI.md
Instructions for cybertronai/SutroYaro, covering gemini.md - sutro group research workspace, project context, read these first, core concepts and current best methods.
math-anchor CLAUDE.md
Claude Code instructions for tetracoralla/math-anchor, a project described as: Math Anchor — safe exact and scientific math, units, and dimensional analysis for humans and Agents (macOS + MCP/Codex plugin).
AgenticResearchWiki AGENTS.md
Instructions for HaowenHou/AgenticResearchWiki, covering reading docs, reading order, do not read by default, template placeholders and doc-update rules.