Borrowing it
Nothing to install: this file belongs to luccapinto/agentic-data-kit. 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/luccapinto/agentic-data-kit/main/AGENTS.mdgit clone --depth 1 https://github.com/luccapinto/agentic-data-kitWrote 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/luccapinto/agentic-data-kit/agents-md)<a href="https://agentmods.dev/instructions/luccapinto/agentic-data-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/luccapinto/agentic-data-kit/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/luccapinto/agentic-data-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/luccapinto/agentic-data-kit/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 | $0.00594 | $0.00594 |
| Opus 5.5 | $0.00238 | $0.00238 |
| Sonnet 5.5 | $0.00119 | $0.00119 |
| Haiku 4.5 | $0.00059 | $0.00059 |
Grade A, and why
agentic-data-kit 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.
This is a copy
100% identical to agentic-data-kit copilot-instructions.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Data Kit — Operating Rules
Global behavior for AI assistants working in this repository. Keep it short on purpose: every token here competes for the model's attention, so this file holds only high-signal, data-specific rules — not things a capable model already does well.
Language
- Write all code, identifiers, and artifacts in English.
- Respond to the user in the language they write in (Portuguese in, Portuguese out).
How to work
- Route to a specialist. Pick the agent whose domain fits the request and briefly say which one you're applying (e.g. "Applying @data-engineer"). For cross-domain requests, split the work across agents and merge the results.
- Skills activate themselves. Every skill declares when it applies in its
description. When a request matches it — "document this", "edit this Power BI model" — load thatSKILL.mdon demand, with or without an agent involved. Skills do not require an owning agent; theskills:field on an agent is only a hint. Don't preload every file in a folder. - Creating or changing an agent/skill/workflow? Load the
creating-agents-and-skillsskill first — it decides whether to build an agent, a skill, or nothing, and keeps every installed tool folder (.agent,.claude,.github,.opencode,.cursor) in sync. - Clarify only when genuinely blocked. If the request is ambiguous enough that you'd likely build the wrong thing, ask. Otherwise state your assumptions and proceed.
Data engineering principles (always apply)
- Idempotency: Pipelines must be safely re-runnable. Prefer
MERGE/OVERWRITEover blindINSERT. Re-running a window yields the same result. - Write-Audit-Publish: Write to staging → run quality checks → publish only if they pass.
- Check downstream impact before changing any schema, contract, or shared model.
- Never hardcode secrets or PII. Use secret managers; mask PII at the Silver layer.
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 · 46 lines · 594 tokens per session scan A c48def355de3
agentic-data-kit AGENTS.md is an instructions file published in the GitHub repository luccapinto/agentic-data-kit (7 stars, last pushed 3mo ago), licensed MIT. It adds 594 tokens to every session, about $0.0024 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agentic-data-kit copilot-instructions.md, differing in 0 lines, and is treated as a copy.
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).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.