Borrowing it
Nothing to install: this file belongs to fortify/skills. 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/fortify/skills/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/fortify/skillsWrote 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/fortify/skills/copilot-instructions)<a href="https://agentmods.dev/instructions/fortify/skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/fortify/skills/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/fortify/skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/fortify/skills/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 | $0.01613 | $0.01613 |
| Opus 5.5 | $0.00645 | $0.00645 |
| Sonnet 5.5 | $0.00323 | $0.00323 |
| Haiku 4.5 | $0.00161 | $0.00161 |
Grade A, and why
skills 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fortify Skills Repository
This is the public OpenText Fortify AppSec skills repository. It contains AI assistant skills following the Agent Skills standard, designed to teach AI coding assistants how to use Fortify effectively.
Structure
.
├── .claude-plugin/
│ ├── plugin.json # Claude Code plugin manifest (no version field — intentional)
│ └── marketplace.json # Claude Code marketplace catalog + version authority
├── .codex-plugin/
│ └── plugin.json # OpenAI Codex plugin manifest + version field
├── .agents/
│ └── plugins/
│ └── marketplace.json # OpenAI Codex repo-scoped marketplace catalog
├── gemini-extension.json # Gemini CLI extension manifest + version field
├── skills/ # The skills (Agent Skills spec)
├── agents/ # AI assistant agents (*.agent.md)
├── version.txt # Overall version (managed by release-please)
├── README.md # End-user documentation
├── CONTRIBUTING.md # Developer/contributor guide
└── LICENSE
Conventions
- Skill directories use kebab-case names
- SKILL.md frontmatter fields:
name,description, and optionaldisable-model-invocation,user-invocable,allowed-tools,context,argument-hint - Reference files are linked from SKILL.md and loaded on demand (progressive disclosure)
- Keep descriptions concise — they're loaded at startup for skill matching
- Skills must be assistant-agnostic: work with Claude Code, GitHub Copilot, Cursor, Gemini CLI, etc.
- Skills teach workflows using FCLI commands — the AI assistant executes them
- Leverage best practices where appropriate (https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices)
Workflow terminology
Use Step for all numbered workflow divisions — in SKILL.md, agent.md, and reference files. Do not use "Phase", "Stage", or "Phrase" as structural labels.
| Level | Term | Format | Where |
|---|---|---|---|
| Primary | Step | ## Step N: Name |
Top-level workflow divisions in SKILL.md and agent.md |
| Secondary | Step (lettered) | ### Step Na: Name |
Sub-actions within a Step |
| Gates | Step N gate | ### Step N gate or ### Step N → Step N gate |
Checklists between steps |
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 First seen · 100 lines · 1,613 tokens per session scan A cc88cef84316
skills copilot-instructions.md is an instructions file published in the GitHub repository fortify/skills (22 stars, last pushed 10d ago), licensed MIT. It adds 1,613 tokens to every session, about $0.0065 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
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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.
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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.
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AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
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).