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 aj-geddes/useful-ai-prompts --skill incident-response-plangit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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/aj-geddes/useful-ai-prompts/incident-response-plan)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/incident-response-plan"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/incident-response-plan/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/aj-geddes/useful-ai-prompts/incident-response-plan"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/incident-response-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00037 | $0.00537 |
| Opus 5.5 | $0.00015 | $0.00215 |
| Sonnet 5.5 | $0.00007 | $0.00107 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
incident-response-plan 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Response Plan
Table of Contents
Overview
Structured approach to detecting, responding to, containing, and recovering from security incidents with comprehensive playbooks and automation.
When to Use
- Security breach detection
- Data breach response
- Malware infection
- DDoS attacks
- Insider threats
- Compliance violations
- Post-incident analysis
Quick Start
Minimal working example:
# incident_response.py
from dataclasses import dataclass, field
from typing import List, Dict, Optional
from enum import Enum
from datetime import datetime
import json
class IncidentSeverity(Enum):
CRITICAL = "critical" # P1 - Business critical
HIGH = "high" # P2 - Major impact
MEDIUM = "medium" # P3 - Moderate impact
LOW = "low" # P4 - Minor impact
class IncidentStatus(Enum):
DETECTED = "detected"
INVESTIGATING = "investigating"
CONTAINED = "contained"
ERADICATED = "eradicated"
RECOVERED = "recovered"
CLOSED = "closed"
class IncidentType(Enum):
DATA_BREACH = "data_breach"
MALWARE = "malware"
UNAUTHORIZED_ACCESS = "unauthorized_access"
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Incident Response Framework | Incident Response Framework |
| Node.js Incident Detection & Response | Node.js Incident Detection & Response |
Best Practices
✅ DO
- Maintain incident response plan
- Define clear escalation paths
- Practice incident drills
- Document all actions
- Preserve evidence
- Communicate transparently
- Conduct post-incident reviews
- Update playbooks regularly
❌ DON'T
- Panic or rush
- Delete evidence
- Skip documentation
- Work in isolation
- Ignore lessons learned
- Delay notifications
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.
- 2mo ago First seen · 96 lines · 37 tokens per session scan A 17366d374296
incident-response-plan is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (376 stars, last pushed 8mo ago), licensed MIT. It adds 37 tokens to every session and 537 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
incident-response-plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| incident-response-planaj-geddes/useful-ai-prompts | Skill | 376 | 8mo ago | MIT | A | 37 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |