building-incident-response-playbook

building-incident-response-playbook is a skill for Claude Code, Codex from autohandai/community-skills. It costs 94 tokens per session (2,268 once invoked), scanned A, a copy of building-incident-response-playbook, Apache-2.0.

An incident response playbook is a reusable set of instructions for handling a specific kind of security incident. It defines steps, decision points, escalation rules, and responsibilities for people such as analysts, administrators, legal staff, and communications teams.

In plain words
What is it for?
Use it to document responses for threats such as malware or data breaches, create decision trees and role assignments, and connect procedures to security automation tools.
Why use it?
It replaces improvised responses with agreed procedures that can be practiced, reviewed, and audited.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to document responses for threats such as malware or data breaches, create decision trees and role assignments, and connect procedures to security automation tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autohandai/community-skills/building-incident-response-playbook
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.

Any agent
npx skills add autohandai/community-skills --skill building-incident-response-playbook
Clone the repo
git clone --depth 1 https://github.com/autohandai/community-skills

Made for: Claude Code, Codex.

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 building-incident-response-playbook

README.md
[![agentmods](https://agentmods.dev/badge/skills/autohandai/community-skills/building-incident-response-playbook/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/building-incident-response-playbook)
Your own site
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-incident-response-playbook"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-incident-response-playbook/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.

agentmods 80×15 button for building-incident-response-playbook

Your own site · 80×15
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-incident-response-playbook"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-incident-response-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,268 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 89% copy Near-identical to another mod 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 $0.00094 $0.02268
Opus 5 $0.00047 $0.01134
Sonnet 5 $0.00019 $0.00454
Haiku 4.5 $0.00009 $0.00227

Measured 8d ago against content hash 491dd25b1319, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

building-incident-response-playbook 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.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.

Origin

This is a copy

89% identical to building-incident-response-playbook — 33 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

building-incident-response-playbook/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Incident Response Playbooks

When to Use

  • Establishing or maturing an incident response program from scratch
  • Documenting procedures for a new incident type after a novel attack
  • Automating response workflows in a SOAR platform (Cortex XSOAR, Splunk SOAR)
  • Preparing for compliance audits requiring documented IR procedures (SOC 2, PCI-DSS, HIPAA)
  • Conducting a gap analysis of existing IR capabilities against specific threat scenarios

Do not use for one-time ad hoc investigations; playbooks are reusable procedure documents, not case-specific reports.

Prerequisites

  • Organizational risk assessment identifying top incident scenarios by likelihood and impact
  • NIST SP 800-61r3 or SANS PICERL framework adopted as the organizational IR standard
  • Asset inventory with business criticality ratings and data classification
  • RACI chart defining roles: Incident Commander, SOC analysts, system administrators, legal, communications
  • Existing detection capabilities inventory (SIEM rules, EDR detections, IDS signatures)
  • SOAR platform access if building automated playbooks

Workflow

Step 1: Select and Scope the Incident Type

Define the specific scenario the playbook will address:

  • Identify the top incident types based on organizational risk assessment and historical data
  • Scope each playbook to a single incident type for clarity (do not combine unrelated scenarios)
  • Define trigger conditions that activate the playbook

Common playbook types:

Priority Playbooks (build first):
1. Ransomware incident response
2. Phishing/credential compromise
3. Business email compromise
4. Malware infection
5. Data breach/exfiltration
6. DDoS attack
7. Insider threat
8. Account takeover
9. Web application compromise
10. Cloud infrastructure compromise

Step 2: Define the Playbook Structure

Every playbook should follow a consistent structure:

PLAYBOOK TEMPLATE
━━━━━━━━━━━━━━━━
1. Playbook Metadata
   - Name, version, owner, last review date
   - Trigger conditions
   - Severity criteria

2. RACI Matrix
   - Who is Responsible, Accountable, Consulted, Informed for each step

3. Detection & Triage
   - How the incident is detected
   - Initial triage checklist
   - Severity classification criteria

4. Containment
   - Short-term containment actions
   - Long-term containment actions
   - Evidence preservation requirements

5. Eradication
   - Root cause identification
   - Malware/threat removal steps
   - Verification procedures

6. Recovery
   - System restoration steps
   - Validation criteria
   - Monitoring requirements post-recovery

7. Post-Incident
   - Lessons learned meeting trigger
   - Report template
   - Detection improvement actions

8. Communication
   - Internal notification matrix
   - External notification requirements (regulators, customers, law enforcement)
   - Status update cadence

9. Appendices
   - Tool-specific procedures
   - Contact lists
   - Evidence collection checklists

Read the full file on GitHub · 254 lines

Files

What ships with it

3 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. 8d ago First seen · 254 lines · 94 tokens per session scan A 491dd25b1319

Subscribe to this mod's changes

building-incident-response-playbook is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 94 tokens to every session and 2,268 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to building-incident-response-playbook, differing in 33 lines, and is treated as a copy.

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