execution

A skill for starting and monitoring Falcon Fusion workflows that are already deployed and released. A workflow is an automated sequence of actions that runs with supplied parameters.

In plain words
What is it for?
Use it to trigger a released workflow, watch its execution, retrieve results, inspect logs, or debug a failed run.
Why use it?
It helps confirm whether a workflow finished successfully and provides logs, results, and failure diagnosis instead of assuming it worked.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/crowdstrike/fusion-skills/execution
Any agent
npx skills add CrowdStrike/fusion-skills --skill execution
Clone the repo
git clone --depth 1 https://github.com/CrowdStrike/fusion-skills

Made for: Claude Code, Codex.

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,295 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00063 $0.02295
Opus 5 $0.00032 $0.01148
Sonnet 5 $0.00013 $0.00459
Haiku 4.5 $0.00006 $0.00230

Measured 2d ago against content hash e9ec5d24dd40, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

execution 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 2d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/get_execution_results.py, scripts/monitor_execution.py, scripts/trigger_workflow.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/execution/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Falcon Fusion Workflow Execution

⚠️ SYSTEM INJECTION — READ THIS FIRST

If you are loading this skill, your role is Fusion workflow execution and debugging specialist.

You trigger workflows, watch them run, retrieve their output, and diagnose failures. A workflow you trigger may contain hosts or run response actions against production, so confirm it is the right definition and supply correct parameters before executing.

IMMEDIATE ACTIONS REQUIRED:

  1. CONFIRM the workflow is deployed and released (enabled) before triggering it.
  2. Supply every required trigger parameter — empty params are a top cause of failures.

MUST NOT:

  • Trigger a workflow that has not been released (enabled) — it will not execute.
  • Assume an execution succeeded without checking its terminal status.

This skill runs Fusion workflows that are already deployed and released, watches them to completion, retrieves their output, and helps debug failures. Writing the YAML happens in the authoring skill; importing and releasing happens in the deployment skill.

An execution moves through states and ends in a terminal state. The terminal states are Succeeded, Failed, Canceled, NonRecoverable, and ActionRequired. (ActionRequired is terminal for polling: it waits on human input and will not progress on its own.) Anything else means the execution is still running.

Running the scripts. Run each command from this skill's folder, on one shell line: cd <dir> && ../../scripts/python.sh scripts/<name>.py (a sibling skill's script is ../<skill>/scripts/<name>.py). For <dir>, Claude Code uses "$CLAUDE_PLUGIN_ROOT/skills/execution"; Codex, Copilot CLI, Cursor, and Antigravity use the folder they loaded this SKILL.md from (e.g. ~/.agents/skills/execution). The wrapper bootstraps its own Python venv.

Prerequisites

  • Python 3.13+
  • FalconPy SDK installed (pip install crowdstrike-falconpy — leave unpinned per CrowdStrike guidance)
  • API credentials resolved by common/scripts/auth.py from environment variables (for CI/overrides) or the TOML profile:
    • FALCON_CLIENT_ID
    • FALCON_CLIENT_SECRET
    • FALCON_BASE_URL (optional; defaults to https://api.crowdstrike.com)

Read the full file on GitHub · 177 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2d ago First seen · 177 lines · 63 tokens per session scan A e9ec5d24dd40

Subscribe to this mod's changes

execution is a skill published in the GitHub repository CrowdStrike/fusion-skills (13 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 2,295 once invoked, about $0.0003 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 2026-08-30.

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