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.
npx agentmods add instructions/bob-fornal/work-notes/copilot-instructionsgit clone --depth 1 https://github.com/bob-fornal/work-notesWrote 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/bob-fornal/work-notes/copilot-instructions)<a href="https://agentmods.dev/instructions/bob-fornal/work-notes/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/bob-fornal/work-notes/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 | $0.00278 | $0.00278 |
| Opus 5 | $0.00139 | $0.00139 |
| Sonnet 5 | $0.00056 | $0.00056 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
work-notes 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 3d 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.
What it actually says
Copilot Instructions
Anki Quiz Generator
This repository contains a tool for generating Anki multiple-choice quiz CSV files from Markdown notes.
Tool location: _tools/anki-quiz-generator/
Full reference: _tools/anki-quiz-generator/COPILOT.md
When to use it
Use this tool whenever a user asks to:
- Generate a quiz, flashcards, or study cards from notes
- Create an Anki deck from Markdown files
- Turn notes into multiple-choice questions
Quick invocation
export GITHUB_TOKEN=<github-pat>
cd _tools/anki-quiz-generator
npm install # first time only
node generate.js
Respond to the three interactive prompts:
| Prompt | Accepts |
|---|---|
| Source file(s) / folder(s) | File paths, folder paths (scanned recursively for .md), glob patterns, or a comma-separated mix |
| Deck name | Any string — becomes the Anki deck name and the base tag |
| Output path | Absolute or relative path for the .csv file (Enter = default beside the deck name) |
See _tools/anki-quiz-generator/COPILOT.md for full details, examples, and extension guidance.
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.
- 3d ago First seen · 35 lines · 278 tokens per session scan A 1ed901f6bdc6
work-notes copilot-instructions.md is an instructions file published in the GitHub repository bob-fornal/work-notes (58 stars, last pushed 4mo ago), licensed MIT. It adds 278 tokens to every session, about $0.0014 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 2026-09-01.
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