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.
npx skills add autohandai/community-skills --skill building-incident-response-playbookgit clone --depth 1 https://github.com/autohandai/community-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/skills/autohandai/community-skills/building-incident-response-playbook)<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.
<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>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 | $0.00094 | $0.02268 |
| Opus 5 | $0.00047 | $0.01134 |
| Sonnet 5 | $0.00019 | $0.00454 |
| Haiku 4.5 | $0.00009 | $0.00227 |
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.
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.
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.
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
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.
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.
- 8d ago First seen · 254 lines · 94 tokens per session scan A 491dd25b1319
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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building-incident-response-playbook
Designs and documents structured incident response playbooks that define step-by-step procedures for specific incident types aligned with NIST SP 800-61r3 and SANS PICERL frameworks. Covers playbook structure, decision trees, escalation criteria, RACI matrices, and integration with SOAR platforms. Activates for…
building-incident-response-playbook
Designs and documents structured incident response playbooks that define step-by-step procedures for specific incident types aligned with NIST SP 800-61r3 and SANS PICERL frameworks. Covers playbook structure, decision trees, escalation criteria, RACI matrices, and integration with SOAR platforms. Activates for…
building-incident-response-playbook
Designs and documents structured incident response playbooks with step-by-step procedures per incident type, decision trees, escalation criteria, RACI matrices, and SOAR platform integration, aligned to NIST SP 800-61r3 and SANS PICERL. Use when creating or maturing an IR program, documenting response runbooks for a…
building-incident-response-playbook
Designs and documents structured incident response playbooks that define step-by-step procedures for specific incident types aligned with NIST SP 800-61r3 and SANS PICERL frameworks. Covers playbook structure, decision trees, escalation criteria, RACI matrices, and integration with SOAR platforms. Activates for…
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