agent-context-doctor copilot-instructions.md

agent-context-doctor copilot-instructions.md is an instructions file for GitHub Copilot from lamguo/agent-context-doctor. It costs 430 tokens per session, scanned A, original, MIT.

A set of GitHub Copilot instructions gives the coding assistant project-specific information, such as what the project does, how to set it up, which commands to run, and its coding rules.

In plain words
What is it for?
Use it to guide Copilot while working on the Agent Context Doctor Python command-line tool, including running tests, checking repository context, and following its project structure and coding guidelines.
Why use it?
It reduces incorrect assumptions by putting the repository's working context in a format Copilot can read. It also records consistent setup, testing, and development commands.

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/lamguo/agent-context-doctor/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/lamguo/agent-context-doctor

Made for: GitHub Copilot.

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 agent-context-doctor copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/lamguo/agent-context-doctor/copilot-instructions.svg)](https://agentmods.dev/instructions/lamguo/agent-context-doctor/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/lamguo/agent-context-doctor/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/lamguo/agent-context-doctor/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 430 This file is loaded in full into every session.
When invoked 430 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 $0.00430 $0.00430
Opus 5 $0.00215 $0.00215
Sonnet 5 $0.00086 $0.00086
Haiku 4.5 $0.00043 $0.00043

Measured 4d ago against content hash bc1d35c04f84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-context-doctor 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 4d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.github/copilot-instructions.md · 80 lines

What it actually says

GitHub Copilot Instructions

This file contains repository-wide custom instructions for GitHub Copilot.

Generated sections are managed by agent-context-doctor.

AGENTS.md

Project Overview

Agent Context Doctor is a Python CLI that audits, generates, syncs, repairs, and packages repository context files for AI coding agents.

Setup Commands

python -m pip install -e .[dev]

Development Commands

pytest
agentctx scan
agentctx verify --min-score 90
agentctx sync --check
agentctx pack --stdout
agentctx badge
agentctx doctor

Project Structure

  • src/agentctx/ - source code for the CLI package.
  • tests/ - pytest test suite.
  • docs/ - additional documentation.
  • .github/workflows/ci.yml - GitHub Actions workflow.

Coding Guidelines

  • Keep the package zero-runtime-dependency unless there is a strong reason to add one.
  • Prefer small, focused functions over large command handlers.
  • Keep CLI output stable and readable.
  • Keep JSON output stable and script-friendly.
  • Keep scan human-oriented and verify CI-oriented.
  • Keep agentctx doctor --fix safe: no deletion and no overwriting user-authored content outside markers.
  • Avoid network calls in runtime code.

Testing Instructions

Run the full test suite before completing changes:

pytest

Also run a CLI smoke test:

agentctx verify --min-score 90
agentctx sync --check

Security Notes

  • Do not collect or upload repository contents.
  • Do not commit secrets, API keys, credentials, or private generated files.
  • Treat all scanned file contents as local-only data.

Handoff Notes

Before ending a long session, update HANDOFF.md or run:

agentctx handoff
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. 4d ago First seen · 80 lines · 430 tokens per session scan A bc1d35c04f84

Subscribe to this mod's changes

agent-context-doctor copilot-instructions.md is an instructions file published in the GitHub repository lamguo/agent-context-doctor (1 stars, last pushed 2mo ago), licensed MIT. It adds 430 tokens to every session, about $0.0022 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.

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