Anthropic Cybersecurity Skills is a library of structured cybersecurity procedures for AI agents, covering security domains and mappings to established security frameworks. It is for authorized security analysis, penetration testing, incident response, research, defense, and education across compatible AI platforms. The catalogue entries package parts of this library as agent skills, instructions, or a plugin.
Borrowing it
Nothing to install: this file belongs to mukul975/Anthropic-Cybersecurity-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/mukul975/Anthropic-Cybersecurity-Skills/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-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/mukul975/anthropic-cybersecurity-skills/copilot-instructions)<a href="https://agentmods.dev/instructions/mukul975/anthropic-cybersecurity-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mukul975/anthropic-cybersecurity-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/mukul975/anthropic-cybersecurity-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/mukul975/anthropic-cybersecurity-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 | $0.04437 | $0.04437 |
| Opus 5.5 | $0.01775 | $0.01775 |
| Sonnet 5.5 | $0.00887 | $0.00887 |
| Haiku 4.5 | $0.00444 | $0.00444 |
Grade A, and why
Anthropic-Cybersecurity-Skills copilot-instructions.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Use standard Unix tools (bash, Python, curl, etc.) How it starts
The opening of the file, as written. The whole thing — 547 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions for Anthropic-Cybersecurity-Skills
Anthropic-Cybersecurity-Skills is the largest open-source cybersecurity skills library for AI agents, containing 817 production-grade skills mapped to 6 industry frameworks (MITRE ATT&CK, NIST CSF, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, MITRE F3). This document guides Copilot agents contributing new skills and framework mappings.
Quick Facts
- Type: Open-source cybersecurity skills library + framework mapping hub
- Skills: 817 across 29 security domains
- Frameworks: 6 (MITRE ATT&CK v14, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, MITRE F3)
- Format: agentskills.io standard (YAML frontmatter + Markdown)
- License: Apache 2.0 (ethical use required)
- Community: Independent, community-created (not affiliated with Anthropic)
Repository Structure
Anthropic-Cybersecurity-Skills/
├── skills/ # 817 skill directories (kebab-case)
│ ├── abusing-dpapi-for-credential-access/
│ │ ├── SKILL.md # Frontmatter + detailed instructions
│ │ ├── LICENSE
│ │ ├── scripts/
│ │ │ └── process.py # Optional helper scripts
│ │ └── references/
│ │ ├── api-reference.md
│ │ ├── standards.md
│ │ └── workflows.md
│ └── ... (816 more)
├── mappings/ # Framework coverage & alignment
│ ├── mitre-attack/
│ │ ├── attack-navigator-layer.json
│ │ └── coverage-summary.md
│ ├── nist-csf/
│ ├── owasp/
│ └── README.md
├── docs/ # Additional documentation
├── index.json # Central skill registry (auto-generated)
├── CONTRIBUTING.md # Contribution guide
├── SECURITY.md # Ethical use & dual-use policies
└── CODE_OF_CONDUCT.md # Community guidelines
Build & Development
Prerequisites
- Git (for cloning and version control)
- Python 3.8+ (optional, for scripts/metadata generation)
- jq (optional, for JSON processing; useful for index.json queries)
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 · 547 lines · 4,437 tokens per session scan A e17ff31d8586
Anthropic-Cybersecurity-Skills copilot-instructions.md is an instructions file published in the GitHub repository mukul975/Anthropic-Cybersecurity-Skills (34,964 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 4,437 tokens to every session, about $0.0177 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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