Borrowing it
Nothing to install: this file belongs to zhaoliangbin42/AI-MarkDone. 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/zhaoliangbin42/AI-MarkDone/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/zhaoliangbin42/AI-MarkDoneWrote 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/zhaoliangbin42/ai-markdone/copilot-instructions)<a href="https://agentmods.dev/instructions/zhaoliangbin42/ai-markdone/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/zhaoliangbin42/ai-markdone/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.01337 | $0.01337 |
| Opus 5 | $0.00668 | $0.00668 |
| Sonnet 5 | $0.00267 | $0.00267 |
| Haiku 4.5 | $0.00134 | $0.00134 |
Grade A, and why
AI-MarkDone 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 8d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Copy Enhance - AI Coding Agent Instructions
Project Overview
Chrome Extension (Manifest V3) that enhances ChatGPT/Gemini with robust Markdown export. Extracts LaTeX from KaTeX, handles rendering failures, converts tables/code to Markdown, and provides click-to-copy math formulas.
Architecture Patterns
Adapter Pattern for Multi-Platform Support
- Registry:
src/content/adapters/registry.tsmanages platform adapters - Base:
SiteAdapterabstract class defines interface (selectors, HTML extraction, streaming detection) - Implementations:
ChatGPTAdapter,GeminiAdapter(each 100 lines) - Critical: New platforms extend
SiteAdapterand register inAdapterRegistryconstructor - Adapters provide DOM selectors specific to each platform's structure
Shadow DOM Isolation
- All UI components use Shadow DOM to avoid CSS conflicts with host pages
- See
src/content/components/toolbar.ts,modal.ts- each creates shadow root and injects styles - Styles defined in
src/styles/*.css.tsas template literals for Shadow DOM injection - Toolbar: Icon-only buttons with hover tooltips, auto-updating word/char count on right
- Never use global CSS - it won't reach Shadow DOM components
Parser Pipeline Architecture
MarkdownParser orchestrates specialized extractors in sequence:
- CodeExtractor:
<pre><code>→ fenced code blocks with language tags - TableParser: HTML tables → Markdown pipes
- Turndown: HTML → Markdown (with custom rules for KaTeX)
- Post-processing: Cleanup and normalization
Critical: Math formulas are handled by Turndown rules that extract LaTeX from <annotation encoding="application/x-tex"> tags.
MutationObserver Pattern
src/observers/mutation-observer.tswatches for new messages with 200ms debounce- Uses
WeakSetto track processed messages (avoid duplicate toolbars) - Container selection: tries multiple selectors (
main,main > div, etc.) - seegetObserverContainer()
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.
- 8d ago First seen · 106 lines · 1,337 tokens per session scan A daee12f79332
AI-MarkDone copilot-instructions.md is an instructions file published in the GitHub repository zhaoliangbin42/AI-MarkDone (183 stars, last pushed 12d ago), licensed MIT. It adds 1,337 tokens to every session, about $0.0067 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.
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