mingli-mcp: Instructions file for Codex

AGENTS.md

mingli-mcp AGENTS.md is an instructions file for Codex, OpenCode from spyfree/mingli-mcp. It costs 645 tokens per session, scanned A, original, MIT.

Repository instructions for the mingli-mcp Python project, including its folders, setup commands, tests, and packaging checks.

In plain words
What is it for?
Use it when developing, testing, running locally, or preparing mingli-mcp for release.
Why use it?
They give an AI coding agent the project’s expected structure and routines, reducing guesswork when changing or running the code.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is spyfree/mingli-mcp's own configuration. It tells Codex and OpenCode how to work on mingli-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mingli-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to spyfree/mingli-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/spyfree/mingli-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/spyfree/mingli-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 645 This file is loaded in full into every session.
When invoked 645 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00645 $0.00645
Opus 5.5 $0.00258 $0.00258
Sonnet 5.5 $0.00129 $0.00129
Haiku 4.5 $0.00064 $0.00064

Measured 2mo ago against content hash 54e43c3292b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mingli-mcp 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 2mo 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 · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

  • mingli_mcp.py: CLI/entrypoint (exposes mingli-mcp).
  • core/: Base abstractions (systems, models, results).
  • systems/: Pluggable fortune systems (ziwei/, bazi/, astrology/).
  • transports/: IO layers (stdio, http placeholder).
  • utils/: Validation and formatting helpers.
  • tests/: Pytest suites for systems and transports.
  • docs/, examples/, scripts/: Guides, config samples, utilities.

Build, Test, and Development Commands

# Setup (recommended)
python3 -m venv venv && source venv/bin/activate
pip install -e .[dev]  # or: pip install -r requirements.txt

# Run locally
python mingli_mcp.py      # dev entry
mingli-mcp                # after editable install

# Tests and coverage
pytest -q                 # run tests
pytest --cov=. --cov-report=term-missing

# Packaging & preflight
bash scripts/check_ready_to_publish.sh
python -m build && twine check dist/*

Coding Style & Naming Conventions

  • Python 3.8+; PEP 8; 4-space indentation; UTF-8.
  • Use type hints for public APIs; concise docstrings (first line summary).
  • Naming: snake_case for functions/vars, CamelCase for classes, modules/dirs lowercase.
  • Keep modules focused; new systems live under systems/<name>/ and subclass core.base_system.BaseFortuneSystem.
  • Avoid breaking public APIs; if necessary, update CLI, docs, and tests together.

Testing Guidelines

  • Framework: pytest (+ optional pytest-cov).
  • Test files: tests/test_*.py; name tests by behavior, e.g. test_bazi_element_balance.
  • Prefer fast, deterministic unit tests; use fixtures in tests/conftest.py if shared setup is needed.
  • Cover new branches and error paths; target ≥80% coverage for changed code.

Commit & Pull Request Guidelines

  • Commits: imperative mood, concise subject. Optional prefixes used in history: Fix:, Add:, Refactor: (e.g., "Fix: Resolve MCP handshake issue").
  • Scope in subject when helpful (e.g., systems/bazi:). Wrap body at ~72 chars; explain the why and notable tradeoffs.
  • PRs: include clear description, linked issues (#123), test results, and docs updates (docs/, README.md) for user-facing changes. Include screenshots/log snippets when relevant.

Read the full file on GitHub · 54 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. 2mo ago First seen · 54 lines · 645 tokens per session scan A 54e43c3292b5

Subscribe to this mod's changes

mingli-mcp AGENTS.md is an instructions file published in the GitHub repository spyfree/mingli-mcp (6 stars, last pushed 27d ago), licensed MIT. It adds 645 tokens to every session, about $0.0026 per session on Opus 5.5. 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.

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