wechat-on-airflow AGENTS.md

wechat-on-airflow AGENTS.md is an instructions file for Codex, OpenCode from claude89757/wechat-on-airflow. It costs 2,040 tokens per session, scanned A, original, MIT.

A repository instruction file for coding agents working on WeChat tennis-availability workflows running on Apache Airflow 3. It defines the project's mission, important files to read, repository boundaries, and operational rules.

In plain words
What is it for?
Use it as the starting guide for repository-wide diagnosis, operations, incident response, release, or deployment work. It directs agents to the relevant operational skill and configuration files.
Why use it?
It gives agents the project's source of truth and constraints before they diagnose, operate, release, or deploy changes. It also tells them to check the current worktree, pushed commit, verification evidence, and production baseline when resuming work.

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/claude89757/wechat-on-airflow/agents-md
Clone the repo
git clone --depth 1 https://github.com/claude89757/wechat-on-airflow

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for wechat-on-airflow AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/claude89757/wechat-on-airflow/agents-md.svg)](https://agentmods.dev/instructions/claude89757/wechat-on-airflow/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/claude89757/wechat-on-airflow/agents-md"><img src="https://agentmods.dev/badge/instructions/claude89757/wechat-on-airflow/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,040 This file is loaded in full into every session.
When invoked 2,040 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 5.1 $0.02040 $0.02040
Opus 5 $0.01020 $0.01020
Sonnet 5 $0.00408 $0.00408
Haiku 4.5 $0.00204 $0.00204

Measured yesterday against content hash b65f5a2744b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

wechat-on-airflow 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 yesterday.

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 · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Guide

This repository is operated primarily by coding agents. Treat repository content and production read-only checks as the source of truth. Do not rely on chat history for operational knowledge.

Mission

Run the production Shenzhen tennis availability platform on Apache Airflow 3 with PostgreSQL-owned subscriptions and notification state, host-owned Tencent SES delivery, best-effort WeChat delivery through the Android sender, deterministic verification, and reversible exact-commit deployments.

For repository-wide diagnosis, operations, incident response, release, or deployment work, load .agents/skills/operate-tennis-alerts/SKILL.md and follow its lifecycle.

Read First

  1. config/active-components.yaml
  2. config/config-contracts.yaml
  3. config/host-core-contract.yaml
  4. config/runtime-target.yaml
  5. ARCHITECTURE.md
  6. docs/production-baseline.md
  7. Relevant runbooks and ADRs

On every resumed task, inspect the current Git worktree, pushed commit, existing verification evidence, and production baseline before changing files. Continue from the last verified state; chat history is not authoritative.

Repository Boundaries

  • dags/: production DAG definitions and task wiring only.
  • src/wechat_airflow/venues/: venue API, parsing, filtering, and observation orchestration.
  • src/wechat_airflow/host_core/: the PostgreSQL-backed Web API, migration, matching, email delivery, delivery reconciliation, and durable notification workers.
  • src/wechat_airflow/notifications/: Airflow observation client, WeChat client, booking-link policy, and channel-specific compatibility helpers.
  • src/wechat_airflow/proxy_tools/: proxy refresh implementations.
  • src/wechat_airflow/maintenance/: device maintenance implementations.
  • tests/: unit, contract, DAG import, migration, and smoke tests.
  • config/: non-secret machine-readable contracts.
  • scripts/: idempotent development and operations commands.
  • pi_host/: Raspberry Pi scrape-host services, not Airflow DAG code.
  • webapp/: React assets and the stateless Cloudflare edge gateway. Legacy D1 code is retained only for the migration and rollback window.
  • docker/: reproducible Airflow and service image files.
  • docs/: architecture, runbooks, configuration, decisions, and evidence.

Read the full file on GitHub · 215 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. yesterday Changed · +20 lines · +326 tokens per session b65f5a2744b9
  2. 5d ago First seen · 195 lines · 1,714 tokens per session scan A 20ba6b91f255

Subscribe to this mod's changes

wechat-on-airflow AGENTS.md is an instructions file published in the GitHub repository claude89757/wechat-on-airflow (90 stars, last pushed today), licensed MIT. It adds 2,040 tokens to every session, about $0.0102 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 2026-08-30.