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 adriannoes/awesome-agentic-ai --skill building-incident-response-playbookgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/building-incident-response-playbook)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/building-incident-response-playbook"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/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/adriannoes/awesome-agentic-ai/building-incident-response-playbook"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/building-incident-response-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.02337 |
| Opus 5 | $0.00047 | $0.01169 |
| Sonnet 5 | $0.00019 | $0.00467 |
| Haiku 4.5 | $0.00009 | $0.00234 |
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 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- building-incident-response-playbook — 100% identical, 0 lines differ
- building-incident-response-playbook — 89% identical, 33 lines differ
- building-incident-response-playbook — 89% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 271 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.
- 12d ago First seen · 271 lines · 94 tokens per session scan A a30ed65e7fa5
building-incident-response-playbook is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 94 tokens to every session and 2,337 once invoked, about $0.0005 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.
Other skills, from other repositories
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…
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…
importing-a-codebase
Use when the repo holds real source code but no specs: the existing-codebase branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for empty workspaces (starting-a-new-project) or feature work in a specced project (brainstorming).
starting-a-new-project
Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead.