Borrowing it
Nothing to install: this file belongs to renezander030/agentic-task-system. 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/renezander030/agentic-task-system/main/AGENTS.mdgit clone --depth 1 https://github.com/renezander030/agentic-task-systemWrote 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/renezander030/agentic-task-system/agents-md)<a href="https://agentmods.dev/instructions/renezander030/agentic-task-system/agents-md"><img src="https://agentmods.dev/badge/instructions/renezander030/agentic-task-system/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/renezander030/agentic-task-system/agents-md"><img src="https://agentmods.dev/badge/instructions/renezander030/agentic-task-system/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 | $0.00437 | $0.00437 |
| Opus 5.5 | $0.00175 | $0.00175 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (17 stars, last pushed 3d ago), licensed MIT. It adds 437 tokens to every session, about $0.0017 per session on Opus 5.5. 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
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.