Borrowing it
Nothing to install: this file belongs to Diplomat-ai/diplomat-agent. 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/Diplomat-ai/diplomat-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/Diplomat-ai/diplomat-agentWrote 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/diplomat-ai/diplomat-agent/agents-md)<a href="https://agentmods.dev/instructions/diplomat-ai/diplomat-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/diplomat-ai/diplomat-agent/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/diplomat-ai/diplomat-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/diplomat-ai/diplomat-agent/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 | $0.00753 | $0.00753 |
| Opus 5 | $0.00377 | $0.00377 |
| Sonnet 5 | $0.00151 | $0.00151 |
| Haiku 4.5 | $0.00075 | $0.00075 |
Grade A, and why
diplomat-agent 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 10d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — for AI coding assistants (v0.3.0)
What this repo is
diplomat-agent is a static analysis tool that scans Python codebases for tool calls (functions that change the real world: payments, database writes, HTTP calls, emails) and checks whether safety checks exist around them.
Architecture
src/diplomat_agent/scanner/— AST visitor that detects effects and checkssrc/diplomat_agent/scanner/patterns.py— catalogue of all known patterns (data, not logic)src/diplomat_agent/analyzer/— computes verdict (UNGUARDED / PARTIALLY_GUARDED / GUARDED / LOW_RISK) and missing check hintssrc/diplomat_agent/reporter/— terminal, markdown, JSON, YAML registry outputssrc/diplomat_agent/models.py— dataclasses: SideEffect, Guard, Tool, Scenario, ScanResultsrc/diplomat_agent/cli.py— argparse CLI entry point
Key design decisions
- AST, not regex. We parse Python source with the stdlib
astmodule. Regex would miss nested calls and produce false positives on strings/comments. - stdlib only. Zero required dependencies.
richis optional for terminal color,pyyamlfor YAML output. - Limited inter-procedural analysis. Decorators are resolved across files within the same package to detect guards in their bodies. General call chains are still analyzed intra-procedurally.
- Effects and checks, not risk scores. The scanner reports what it sees. It does not assign severity or suggest fixes.
Running tests
PYTHONPATH=src python -m pytest tests/ -v
309 tests (332 as of v0.4.0). All must pass before merge.
Conventions
- Python 3.9+
from __future__ import annotationsin all source files- No external dependencies in core scanner
- Patterns are data in
patterns.py, not logic scattered across the codebase
Diplomat Reviewer — Agent Instructions
When reviewing code in this repo
When asked to review code, scan for unguarded tool calls, or check agent safety:
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.
- 10d ago First seen · 70 lines · 753 tokens per session scan A a91cb1b210e5
diplomat-agent AGENTS.md is an instructions file published in the GitHub repository Diplomat-ai/diplomat-agent (7 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 753 tokens to every session, about $0.0038 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
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.
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).
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.
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).
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.