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/antaresqaq/voxmesh/copilot-instructionsgit clone --depth 1 https://github.com/AntaresQAQ/VoxMeshWrote 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/antaresqaq/voxmesh/copilot-instructions)<a href="https://agentmods.dev/instructions/antaresqaq/voxmesh/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/antaresqaq/voxmesh/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 | $0.00538 | $0.00538 |
| Opus 5 | $0.00269 | $0.00269 |
| Sonnet 5 | $0.00108 | $0.00108 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
VoxMesh 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.
How it starts
The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot Repository Instructions
Before suggesting or implementing changes, read and follow:
The linked documents are authoritative and mandatory.
Core Requirements
- Use English for all repository content, documentation, code comments, tests, logs, errors, configuration descriptions, and user-facing copy.
- Conversation with the user may be in English or Chinese.
- Discuss and explicitly confirm behavior, scope, risks, acceptance criteria, and testing before implementing any functional change.
- Never edit directly on
main; use a dedicated<type>/<short-description>branch based on the latestmain. - Deliver changes through a reviewed pull request with passing required CI.
- Use English Conventional Commit-style commit messages and PR titles such as
feat: ...,fix: ..., anddocs: .... - Split unrelated concerns and different change types into focused, reviewable commits.
- Do not introduce unrelated refactoring, cleanup, dependency updates, or features.
- Preserve the platform-independent Agent Core and adapter boundaries defined in the MVP specification.
- Use strict TypeScript and explicit validation and error handling. Do not bypass type safety.
- Provide thorough English developer documentation for implemented features, APIs, configuration, architecture boundaries, failures, operations, and extension points.
- Add concise JSDoc and reasoning comments for public contracts, security-sensitive logic, invariants, state machines, workarounds, and non-obvious trade-offs; do not restate obvious code.
- Keep Web Console components small, cohesive, and single-purpose; split pages into focused components, hooks, and feature boundaries.
- Add complete unit, integration where applicable, and end-to-end coverage for every functional change.
- Add focused behavioral unit tests for every new or changed Web Console component.
- Meet WCAG 2.2 AA and verify keyboard access, visible focus, semantic HTML, form status, responsive zoom, and contrast in English/Chinese and Light/Dark themes.
- Run jsx-a11y linting and representative Playwright axe scans; do not suppress accessibility failures without explicit approval and tracking.
- Run applicable format, lint, type-check, test, and production-build checks before declaring completion.
- Never reveal or commit secrets or sensitive data.
- Never commit, amend, rebase, tag, push, force-push, create or merge a pull request, or release without explicit user confirmation for that specific operation.
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 · 35 lines · 538 tokens per session scan A 2517a273f7a8
VoxMesh copilot-instructions.md is an instructions file published in the GitHub repository AntaresQAQ/VoxMesh (1 stars, last pushed 2d ago), licensed MIT. It adds 538 tokens to every session, about $0.0027 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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spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-release stance: foundation over blast radius, repository layout, commands and host sandbox failures.