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/renezander030/agentic-task-system/agents-mdgit clone --depth 1 https://github.com/renezander030/agentic-task-systemWhat 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 | $0.00437 | $0.00437 |
| Opus 5 | $0.00218 | $0.00218 |
| Sonnet 5 | $0.00087 | $0.00087 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
agentic-task-system 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.
What it actually says
AGENTS.md
Orientation for coding agents (Claude Code, Cursor, Claude Desktop, etc.) working on this repo. ATS is an npm-workspaces monorepo — an MCP server + CLI that turns your existing task manager into a governed task graph.
Layout
packages/core— the task model, adapter interface, retrieval, conformance.packages/cli— theatscommand surface.packages/mcp— the MCP server.packages/adapter-*— one per backend (ticktick, notion, github, obsidian, …); each implements the same interface (docs/adapter-interface.md).
Understand the code before you change it — use pi-codegraph
Don't re-grep the whole monorepo every session.
pi-codegraph hands you a call-graph
of the code as it is now:
pi-codegraph trust --repo . --label ats
pi-codegraph index --repo .
pi-codegraph arch -H # packages, routes, clusters
pi-codegraph search getTask # every adapter's implementation, as a template
pi-codegraph trace loadAdapter --inbound # where adapters get wired in
pi-codegraph impact # change core → which adapters break
Optional and external — nothing in the project depends on it. Full note in CONTRIBUTING.md.
Dev loop
npm install
npm run lint
npm test # lint + unit (per-package proofs + publish-safety checks)
House rules
- Writes are add-only — never drop a row or a link a human added.
- No real or private data in examples — generic names only (
writing,client-work,side-project). - A new adapter implements the 6 required methods in
docs/adapter-interface.mdand ships a test.pi-codegraph search getTaskshows all existing ones as a template.
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 · 48 lines · 437 tokens per session scan A 9fa730db3ade
agentic-task-system AGENTS.md is an instructions file published in the GitHub repository renezander030/agentic-task-system (11 stars, last pushed 2d ago), licensed MIT. It adds 437 tokens to every session, about $0.0022 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
ai-localbase AGENTS.md
Instructions for veyliss/ai-localbase, covering agent instructions and 回复格式.
codebase-contextifier-9000 CLAUDE.md
Claude Code instructions for jarmentor/codebase-contextifier-9000, covering claude.md, project overview, development commands, docker operations and build and start services.
graphiti AGENTS.md
Instructions for getzep/graphiti, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
nuwax AGENTS.md
Instructions for nuwax-ai/nuwax, covering ai agent system documentation, 系统概述, ai agent 架构, 核心组件 and ai 功能特性.
moss AGENTS.md
Instructions for usemoss/moss, covering agents.md, what this repo is, repository layout, integrations & cookbooks and framework cookbooks (examples/cookbook/).
OpenKB AGENTS.md
Instructions for VectifyAI/OpenKB, covering agents.md — openkb map for coding agents, read next, dev commands, module map (openkb/) and hard invariants.