Borrowing it
Nothing to install: this file belongs to Yugoxc/privacy-kit-cl. 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/Yugoxc/privacy-kit-cl/main/AGENTS.mdgit clone --depth 1 https://github.com/Yugoxc/privacy-kit-clWrote 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/yugoxc/privacy-kit-cl/agents-md)<a href="https://agentmods.dev/instructions/yugoxc/privacy-kit-cl/agents-md"><img src="https://agentmods.dev/badge/instructions/yugoxc/privacy-kit-cl/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 5.1 | $0.00869 | $0.00869 |
| Opus 5 | $0.00434 | $0.00434 |
| Sonnet 5 | $0.00174 | $0.00174 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
privacy-kit-cl 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 7d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Guía de integración para una IA
Este archivo le indica a un agente de IA cómo acoplar privacy-kit-cl a un sistema (nuevo o existente) para cumplir la Ley 21.719. Seguir los pasos en orden.
Objetivo
Envolver todos los puntos donde el sistema recibe, procesa, almacena o transfiere datos personales con los componentes del kit, sin reescribir la lógica de negocio.
Paso 0 — Detectar el terreno
- Identifica el lenguaje/stack y el punto de entrada (API, bot, worker).
- Localiza dónde entran datos personales: RUT, nombre, teléfono, email, dirección, ubicación, medios de pago, historial.
- Localiza dónde SALEN a terceros: llamadas a LLMs (OpenAI/Anthropic), pasarelas de pago, APIs externas, logs.
Paso 1 — Instalar y configurar
- Instala el paquete del lenguaje del sistema:
- Python:
pip install "git+https://github.com/Yugoxc/privacy-kit-cl.git"(código enpython/privacy_kit/). - Node.js:
npm install github:Yugoxc/privacy-kit-cl(código ennode/src/).
- Python:
- Crea el archivo de configuración a partir de
DEFAULT_CONFIG(python/privacy_kit/config.pyonode/src/config.js). Rellena:data_categories: qué datos personales trata este sistema.purposes: finalidades (ej. "asistencia_venta", "despacho").retention_days: plazo por categoría.third_parties: terceros a los que se envían datos (nombre, país, base legal).legal_basis: base de licitud por finalidad (consentimiento | interés_legítimo | contrato).
Paso 2 — Implementar el Store
Elige el adaptador de almacenamiento: implementa la interfaz PrivacyStore (python/privacy_kit/store/base.py o node/src/store/base.js) sobre la BD existente del sistema (Mongo, ClickHouse, Postgres). Solo 6 métodos. Si no hay BD, usa InMemoryStore para prototipar.
Paso 3 — Envolver los 5 puntos de control (en este orden de prioridad)
- Minimización antes de LLM/terceros — CRÍTICO: envuelve TODA llamada a un LLM/API externa con
pk.redaction.redact(texto, subject_id)para quitar PII. Registra la transferencia conpk.transfers.log(...). - Aviso + base de licitud — en el primer contacto con el titular, entrega el aviso (
pk.notice.render()) y registra la base (pk.consent.capture(...)si aplica consentimiento). - Auditoría — en cada acceso a un dato personal, llama
pk.audit.record(...). - Derechos ARCOP — expón los handlers de
pk.rights(acceso/rectificación/borrado/oposición/portabilidad) como endpoints o intents del bot. - Retención — agenda
pk.retention.sweep()(cron/worker) para borrar datos vencidos.
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.
- 7d ago First seen · 43 lines · 869 tokens per session scan A 135d926a3f76
privacy-kit-cl AGENTS.md is an instructions file published in the GitHub repository Yugoxc/privacy-kit-cl (10 stars, last pushed 2mo ago), licensed MIT. It adds 869 tokens to every session, about $0.0043 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
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.