md2wechat-skill copilot-instructions.md

A set of Copilot instructions for the md2wechat-skill project, including how to build, test, lint, and compile it for the current platform. Copilot is an AI coding assistant that follows project instructions while editing code.

In plain words
What is it for?
Use it when changing md2wechat-skill code and you need to run all tests, test one package, lint, or build the project.
Why use it?
It gives Copilot repeatable project-specific checks and commands, reducing guesswork about how to validate changes.

Instructions file for GitHub Copilot

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/geekjourneyx/md2wechat-skill/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/geekjourneyx/md2wechat-skill

Made for: GitHub Copilot.

Per session 2,564 This file is loaded in full into every session.
When invoked 2,564 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.02564 $0.02564
Opus 5 $0.01282 $0.01282
Sonnet 5 $0.00513 $0.00513
Haiku 4.5 $0.00256 $0.00256

Measured yesterday against content hash a74281dc8ca5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

md2wechat-skill copilot-instructions.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.

.github/copilot-instructions.md · 199 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 First seen · 199 lines · 2,564 tokens per session scan A a74281dc8ca5

Subscribe to this mod's changes

md2wechat-skill copilot-instructions.md is an instructions file published in the GitHub repository geekjourneyx/md2wechat-skill (3,606 stars, last pushed 4d ago), with no licence file. It adds 2,564 tokens to every session, about $0.0128 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.