Borrowing it
Nothing to install: this file belongs to CrowdStrike/fusion-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/CrowdStrike/fusion-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/CrowdStrike/fusion-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/crowdstrike/fusion-skills/agents-md)<a href="https://agentmods.dev/instructions/crowdstrike/fusion-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/crowdstrike/fusion-skills/agents-md/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/crowdstrike/fusion-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/crowdstrike/fusion-skills/agents-md.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 | $0.02712 | $0.02712 |
| Opus 5.5 | $0.01085 | $0.01085 |
| Sonnet 5.5 | $0.00542 | $0.00542 |
| Haiku 4.5 | $0.00271 | $0.00271 |
Grade A, and why
fusion-skills AGENTS.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 12d 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
A tool-agnostic guide to the fusion-skills plugin for AI coding assistants that are not Claude Code (Codex, GitHub Copilot, Antigravity, and others). Claude Code users get the same content via the plugin system and CLAUDE.md; this file lets any agent use the skills directly.
What This Is
fusion-skills automates Falcon Fusion workflow creation: discover real action IDs from the live API, author workflow YAML, validate it against the platform schema, import it to a CID, and trigger and monitor its execution. It also manages Falcon Next-Gen SIEM lookup files.
A standalone workflow runs directly against Fusion with no Falcon Foundry app wrapper. If you need a manifest.yml, custom UI, serverless functions, or collections, that is a Foundry app — use the foundry-skills plugin instead.
Prerequisites
- Python 3.13+
- crowdstrike-falconpy (
pip install crowdstrike-falconpy) - CrowdStrike API credentials with the Workflow scope (plus NGSIEM Lookup Files for the lookup-files skill)
Configure credentials with the setup command (writes the TOML profile at ~/.cache/crowdstrike-falcon-fusion/credentials.toml):
/crowdstrike-falcon-fusion:setup
For CI or a one-off override, set environment variables instead:
export FALCON_CLIENT_ID=your_client_id_here
export FALCON_CLIENT_SECRET=your_client_secret_here
# export FALCON_BASE_URL=https://api.us-3.crowdstrike.com # needed outside US-1, US-2, and EU-1 (for example US-3 or GovCloud), which FalconPy discovers
Verify credentials:
python common/scripts/auth.py
Repository Structure
skills/
workflows/ Orchestrator skill — SKILL.md decision tree + references/
authoring/ action_search.py, validate.py, trigger_search.py, examples/
deployment/ import_workflows.py, release_workflow.py, query_workflows.py, delete_workflow.py
execution/ trigger_workflow.py, monitor_execution.py, get_execution_results.py
lookup-files/ list/get/create/update/delete_lookup.py, references/, assets/
setup/ SKILL.md — interactive credential setup
common/scripts/ auth.py — shared API auth (single source of truth)
use-cases/ Pattern-matchable workflow scenarios (frontmatter + markdown)
hooks/ Plugin hooks (intent routing, cross-plugin advisory)
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.
- 12d ago Changed · +26 tokens per session f842e1ba9857
- 23d ago Changed · -1 tokens per session 3c8db684f31c
- 25d ago Changed · +46 tokens per session f204853184a2
- 1mo ago Changed · +3 lines · +168 tokens per session ea42643a7899
- 1mo ago First seen · 164 lines · 2,473 tokens per session scan A 2d3673ad8443
fusion-skills AGENTS.md is an instructions file published in the GitHub repository CrowdStrike/fusion-skills (27 stars, last pushed 2d ago), licensed MIT. It adds 2,712 tokens to every session, about $0.0108 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).
deepseek-harness AGENTS.md
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.