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/pyautolabs/pyautonerves/copilot-instructionsgit clone --depth 1 https://github.com/PyAutoLabs/PyAutoNervesWrote 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/pyautolabs/pyautonerves/copilot-instructions)<a href="https://agentmods.dev/instructions/pyautolabs/pyautonerves/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/pyautolabs/pyautonerves/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 | $0.00109 | $0.00109 |
| Opus 5 | $0.00055 | $0.00055 |
| Sonnet 5 | $0.00022 | $0.00022 |
| Haiku 4.5 | $0.00011 | $0.00011 |
Grade A, and why
PyAutoNerves 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.
What it actually says
Copilot Coding Agent Instructions
You are working on PyAutoNerves, the configuration, serialization and I/O
foundation of the PyAuto ecosystem (package autonerves).
The canonical, agent-agnostic instructions for this repo live in AGENTS.md at
the repository root — build and test commands, architecture, the base-layer config
rules, and conventions. Read it directly (Copilot does not process @-imports) and
treat it as the single source of truth.
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.
- 4d ago First seen · 10 lines · 109 tokens per session scan A 860dd400150f
PyAutoNerves copilot-instructions.md is an instructions file published in the GitHub repository PyAutoLabs/PyAutoNerves (2 stars, last pushed today), licensed MIT. It adds 109 tokens to every session, about $0.0005 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.
Other instructions, from other repositories
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