Borrowing it
Nothing to install: this file belongs to responsibleai/ASSERT. 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/responsibleai/ASSERT/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/responsibleai/ASSERTWrote 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/responsibleai/assert/copilot-instructions)<a href="https://agentmods.dev/instructions/responsibleai/assert/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/responsibleai/assert/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/responsibleai/assert/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/responsibleai/assert/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00478 | $0.00478 |
| Opus 5.5 | $0.00191 | $0.00191 |
| Sonnet 5.5 | $0.00096 | $0.00096 |
| Haiku 4.5 | $0.00048 | $0.00048 |
Grade A, and why
ASSERT 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 1mo 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 — 17 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot instructions
Read ../AGENTS.md first. It is the single source of truth for this repository's
orientation, terminology, target selection, and setup commands. This file is intentionally a thin
pointer — do not copy AGENTS.md content here, so the two cannot drift.
Never read, print, commit, or infer secrets from .env or other local environment files.
User-facing skills
Use the matching prompt file when the user's request matches:
- run-assert-eval (
.github/prompts/run-assert-eval.prompt.md): Run an end-to-end ASSERT evaluation against a described risk. Risks come from Clarity (recommended — drives the Clarity MCP tools (run_clarity) in-IDE to surface failure modes the user hasn't considered) or directly from the user as prose, a PRD, design doc, threat model, or red-team finding; Clarity is never required. Then followsworkflows/measure-clarity-failures.md— human triage, splits the selected risks into one atomic config per behavior, runs the pipeline, and summarizes scored results with cited failures. Config generation is owned byworkflows/research-eval-dimensions.md, which runs downstream of both risk sources: given an already-named risk, it reviews how that risk has been evaluated in the literature and converts the findings into the test-set design — every behavior category, stratify dimension, and judge dimension is researched against retrieved primary sources under a ≥2-independent-source gate,Ncomplete generation passes are run and semantically deduplicated, the dimension set is blocked on explicit user approval, and the result is written as a citedexamples/<domain>/<risk>/eval_config.yaml. Reportspolicy_violationandoverrefusalseparately. To fix and prove a failure,workflows/govern-and-remeasure.mdgenerates an ACS policy from the findings (assert-ai acs generate) and re-runs the same eval against the governed agent to measure the failure-rate delta.
Equivalent guidance for other assistants lives in .claude/skills/run-assert-eval/SKILL.md (Claude Code)
and .cursor/rules/assert.mdc (Cursor). Keep all three aligned when you change the methodology.
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.
- 1mo ago Changed · +128 tokens per session 8301e8347608
- 1mo ago First seen · 17 lines · 350 tokens per session scan A 759889dd38b8
ASSERT copilot-instructions.md is an instructions file published in the GitHub repository responsibleai/ASSERT (352 stars, last pushed 4d ago), licensed MIT. It adds 478 tokens to every session, about $0.0019 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.