response-playbooks

response-playbooks is a skill for Claude Code from willwebster5/agent-skills. It costs 75 tokens per session (2,454 once invoked), scanned A, original, MIT.

A security-planning skill that links security detections to suitable response steps and prepares instructions for building automated workflows. SOAR means security tools that coordinate and automate responses.

In plain words
What is it for?
Use it to design SOAR playbooks, choose responses for different detections, and prepare handoff documents for workflow generation.
Why use it?
It helps decide what should happen after an alert fires, including when to observe, investigate, contain, or fix the problem.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python .claude/skills/fusion-workflows/scripts/action_search.py --vendor <vendor>.

Part of the crowdstrike-response-playbooks plugin — 1 skill shipped together

Good fit Use it to design SOAR playbooks, choose responses for different detections, and prepare handoff documents for workflow generation.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/willwebster5/agent-skills
agentmods
npx agentmods add skills/willwebster5/agent-skills/response-playbooks

Made for: Claude Code.

Or install crowdstrike-response-playbooks, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

agentmods badge for response-playbooks

README.md
[![agentmods](https://agentmods.dev/badge/skills/willwebster5/agent-skills/response-playbooks/github.svg)](https://agentmods.dev/skills/willwebster5/agent-skills/response-playbooks)
Your own site
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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.

agentmods 80×15 button for response-playbooks

Your own site · 80×15
<a href="https://agentmods.dev/skills/willwebster5/agent-skills/response-playbooks"><img src="https://agentmods.dev/badge/skills/willwebster5/agent-skills/response-playbooks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,454 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00075 $0.02454
Opus 5 $0.00037 $0.01227
Sonnet 5 $0.00015 $0.00491
Haiku 4.5 $0.00007 $0.00245

Measured 10d ago against content hash 3a7bc701e2b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

response-playbooks 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 10d 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.

plugins/crowdstrike-response-playbooks/skills/response-playbooks/SKILL.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Response Playbooks

Turn detections into automated response. This skill analyzes what a detection looks for, recommends tiered response actions appropriate to the threat, and hands off to fusion-workflows for workflow YAML generation. It bridges the gap between "alert fires" and "something happens."

Response architect, not workflow builder. This skill decides what response fits a detection. The fusion-workflows skill builds the actual workflow YAML.

When to Use This Skill

  • You have detections deployed (or proposed) and need response automation
  • You want to design SOAR playbooks for a set of detections
  • You need to map detection severity/type to appropriate response actions
  • You're deciding which detections warrant automated containment vs. notification-only

Handoff Input

This skill accepts:

  • Direct invocation — user points at detections by name, file path, or description
  • Handoff doc from source-threat-modeling — read the doc and use its context for Phase 1

If consuming a handoff doc, skip Phase 1 questions already answered in the doc.


Phase 1: Detection Intake

Goal: Understand what each detection looks for and what's at stake.

For each detection the user wants response automation for:

Step 1: Read the detection

  • If it's a deployed detection: read from resources/detections/
  • If it's from a handoff doc: read the context provided
  • If described verbally: ask enough questions to understand the threat

Gather:

  • Detection name and CQL logic
  • Severity level
  • MITRE ATT&CK mapping (technique + tactic)

Step 2: Identify the center entity

What is the primary subject of this detection?

Entity Type Examples
User account Identity-based threats — credential attacks, privilege escalation
Host/endpoint Malware, LOLBins, persistence, lateral movement
IP address Network-based threats — C2, scanning, exfiltration
Cloud resource Infrastructure threats — config changes, IAM abuse
Application SaaS/app-level threats — data theft, API abuse

Read the full file on GitHub · 278 lines

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. 10d ago First seen · 278 lines · 75 tokens per session scan A 3a7bc701e2b9

Subscribe to this mod's changes

response-playbooks is a skill published in the GitHub repository willwebster5/agent-skills (12 stars, last pushed 4mo ago), licensed MIT. It adds 75 tokens to every session and 2,454 once invoked, about $0.0004 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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