pmgs-reference AGENTS.md

A repository guide for an application that converts Japanese patent-classification data into a versioned SQLite database and read-only reference interfaces. It also defines language rules, source boundaries, and what the project must not become.

In plain words
What is it for?
Maintaining the data conversion pipeline, Python and command-line interfaces, MCP access, and public HTML, Markdown, JSON, and OpenAPI reference pages.
Why use it?
It gives coding assistants the project's purpose, supported users, language requirements, and ownership rules before they change files.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/nagi-inaba/pmgs-reference/agents-md
Clone the repo
git clone --depth 1 https://github.com/Nagi-Inaba/pmgs-reference

Made for: Codex, OpenCode.

Per session 1,441 This file is loaded in full into every session.
When invoked 1,441 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.01441 $0.01441
Opus 5 $0.00720 $0.00720
Sonnet 5 $0.00288 $0.00288
Haiku 4.5 $0.00144 $0.00144

Measured 2d ago against content hash 4489cf3d3144, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pmgs-reference 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.

AGENTS.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PMGS Reference Agent Guide

Purpose and users

This repository converts a locally acquired JPO PMGS package into one versioned SQLite source of truth and several read-only reference surfaces.

The local surfaces serve Python, CLI, and stdio MCP users.

The public surfaces serve people and AI clients that need source-backed patent-classification definitions through lightweight HTML, Markdown, JSON, and OpenAPI.

Do not turn this project into a patent-classification recommender, legal-opinion system, or general AI analysis service.

Language

Japanese is the canonical and default user-facing language.

  • Keep README.md, CLI help, the distributed skill, and the public root and llms.txt in Japanese by default.
  • Keep English available through README.en.md, matching English guides, language=en, /en/, and llms.en.txt.
  • Update Japanese and English counterparts together when a shared public contract changes.
  • Do not translate or rewrite official source text unless the output labels it as derived material.

Read before changing

Read only the documents relevant to the requested change, starting with:

  1. PLAN.md for v1 scope, exclusions, architecture, and acceptance criteria.
  2. docs/current-status.md for measured state, unresolved external checks, and the next action.
  3. docs/requirements-traceability.md for requirement status and completion evidence.
  4. docs/architecture.md for component and data boundaries.
  5. The applicable ADR under docs/decisions/ before changing an established decision.
  6. docs/release-runbook.md and docs/github-publication-checklist.md for release-related work.

Update the applicable source-of-truth document with any behavior, requirement, architecture, release-state, or operational change.

Do not report a local build as deployed, published, indexed, or externally available.

Repository ownership map

  • src/pmgs_reference/ owns inventory, parsing, normalization, SQLite schema, queries, CLI, stdio MCP, and deterministic public exports.
  • worker/ owns route resolution, content negotiation, input validation, security headers, R2 reads, and optional WebMCP registration.
  • schemas/ owns JSON contracts and cross-language normalization vectors.
  • config/publication-policy.yaml owns the fail-closed public-data boundary.
  • tests/fixtures/synthetic_pmgs/ is the only PMGS-shaped package allowed in tests and CI.
  • docs/evidence/ contains preserved public evidence and extracted text; treat source evidence as read-only unless an evidence refresh is explicitly requested.
  • scripts/verify_repository_boundary.py enforces the tracked and untracked candidate-file publication boundary.

Read the full file on GitHub · 135 lines

Changes

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.

  1. 2d ago First seen · 135 lines · 1,441 tokens per session scan A 4489cf3d3144

Subscribe to this mod's changes

pmgs-reference AGENTS.md is an instructions file published in the GitHub repository Nagi-Inaba/pmgs-reference (1 stars, last pushed 8d ago), licensed Apache-2.0. It adds 1,441 tokens to every session, about $0.0072 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.