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/managedcode/dotpilot/agents-mdgit clone --depth 1 https://github.com/managedcode/dotPilotWrote 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/managedcode/dotpilot/agents-md)<a href="https://agentmods.dev/instructions/managedcode/dotpilot/agents-md"><img src="https://agentmods.dev/badge/instructions/managedcode/dotpilot/agents-md.svg" alt="Measured on agentmods" 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 | $0.09540 | $0.09540 |
| Opus 5 | $0.04770 | $0.04770 |
| Sonnet 5 | $0.01908 | $0.01908 |
| Haiku 4.5 | $0.00954 | $0.00954 |
Grade A, and why
dotPilot 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 today.
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 — 454 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project: dotPilot
Stack: .NET 10 Uno Platform desktop app with central package management, NUnit unit tests, and Uno.UITest browser UI coverage
Follows MCAF
Purpose
This file defines how AI agents work in this solution.
- Root
AGENTS.mdholds the global workflow, shared commands, cross-cutting rules, and global skill catalog. - In multi-project solutions, each project or module root MUST have its own local
AGENTS.md. - Local
AGENTS.mdfiles add project-specific entry points, boundaries, commands, risks, and applicable skills. dotPilotis a desktop control plane for agents in general. Coding agents are first-class, but repository governance, architecture, and planning must also support research, analysis, orchestration, operator, and mixed-provider agent flows.
Solution Topology
- Solution root:
.(DotPilot.slnx) - Projects or modules with local
AGENTS.mdfiles:DotPilotDotPilot.CoreDotPilot.TestsDotPilot.UITests
- Shared solution artifacts:
.editorconfigDirectory.Build.propsDirectory.Packages.propsglobal.jsondocs/Architecture.md.codex/skills/mcaf-*
Rule Precedence
- Read the solution-root
AGENTS.mdfirst. - Read the nearest local
AGENTS.mdfor the area you will edit. - Apply the stricter rule when both files speak to the same topic.
- Local
AGENTS.mdfiles may refine or tighten root rules, but they must not silently weaken them. - If a local rule needs an exception, document it explicitly in the nearest local
AGENTS.md, ADR, or feature doc.
Conversations (Self-Learning)
Learn the user's stable habits, preferences, and corrections. Record durable rules here instead of relying on chat history.
Before doing any non-trivial task, evaluate the latest user message.
If it contains a durable rule, correction, preference, or workflow change, update AGENTS.md first.
If it is only task-local scope, do not turn it into a lasting rule.
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.
- today First seen · 454 lines · 9,540 tokens per session scan A d57ace115735
dotPilot AGENTS.md is an instructions file published in the GitHub repository managedcode/dotPilot (23 stars, last pushed 4mo ago), licensed MIT. It adds 9,540 tokens to every session, about $0.0477 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 2026-09-03.
Other instructions, from other repositories
Network-AI CLAUDE.md
Claude Code instructions for Jovancoding/Network-AI, covering claude.md — project instructions for claude code, project overview, build & test commands, project structure and key architecture patterns.
designpowers GEMINI.md
Gemini CLI instructions for Owl-Listener/designpowers, covering designpowers, mandatory: welcome sequence first, skills, agents and notes for gemini cli.
skill-zoo AGENTS.md
Instructions for luochang212/skill-zoo, covering agents.md, how we work, what this project is, project layout and core design decisions.
coding-cli-guide AGENTS.md
AGENTS.md instructions for tt-a1i/coding-cli-guide: This project uses squad for multi-agent collaboration. Run squad help for all commands and usage guide.
TitanX CLAUDE.md
Instructions for CES-Ltd/TitanX, a project described as: Enterprise AI Agent Orchestration Platform — Secure, Observable, Configurable. Multi-agent teams with IAM policies, n8n workflows, LangChain memory, LangSmith traces, NemoClaw security, OpenTelemetry, and 20+ LLM providers.
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).