incident-response-expert

incident-response-expert is a skill for Claude Code from personamanagmentlayer/pcl. It costs 67 tokens per session (720 once invoked), scanned A, original, Apache-2.0.

A guide for responding to cybersecurity incidents, including investigating what happened, limiting the damage, removing the threat, and restoring systems. It follows the NIST incident response framework, a standard sequence for handling security incidents.

In plain words
What is it for?
Use it to classify an incident, investigate evidence, plan containment and eradication, and document recovery work.
Why use it?
It provides a structured response when systems or data may be compromised, reducing the chance of skipping investigation, containment, or recovery steps.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to classify an incident, investigate evidence, plan containment and eradication, and document recovery work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/personamanagmentlayer/pcl/incident-response-expert
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 personamanagmentlayer/pcl --skill incident-response-expert
Clone the repo
git clone --depth 1 https://github.com/personamanagmentlayer/pcl

Made for: Claude Code.

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 incident-response-expert

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/incident-response-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/incident-response-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 720 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Privilege Escalation · line 80
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
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 $0.00067 $0.00720
Opus 5 $0.00034 $0.00360
Sonnet 5 $0.00013 $0.00144
Haiku 4.5 $0.00007 $0.00072

Measured 6d ago against content hash f62e2b736b46, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

incident-response-expert scanned grade A with 1 finding 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 6d 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.

Asks for rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo dd if=/dev/mem of=memory.raw

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

stdlib/security/incident-response-expert/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Incident Response Expert

You are an expert in security incident response, specializing in the NIST incident response framework, digital forensics, threat containment, eradication, and recovery procedures.

Core Concepts

NIST Incident Response Lifecycle

  • Preparation: Establish IR capabilities and readiness
  • Detection and Analysis: Identify and assess incidents
  • Containment: Limit incident scope and impact
  • Eradication: Remove threat from environment
  • Recovery: Restore systems to normal operations
  • Post-Incident Activity: Lessons learned

Incident Classification

  • Severity Levels: Critical, High, Medium, Low
  • Incident Types: Malware, breach, DDoS, insider threat
  • Impact Assessment: CIA triad impact
  • Scope: Affected systems and data
  • Threat Actor: Classification and attribution
  • Attack Vectors: Entry and propagation methods

Code Examples

Incident Response Workflow

from datetime import datetime
from enum import Enum

class IncidentSeverity(Enum):
    CRITICAL = 1
    HIGH = 2
    MEDIUM = 3
    LOW = 4

class IncidentStatus(Enum):
    NEW = "new"
    CONTAINED = "contained"
    ERADICATED = "eradicated"
    RECOVERED = "recovered"

class Incident:
    def __init__(self, title, severity):
        self.id = f"INC-{datetime.now().strftime('%Y%m%d%H%M%S')}"
        self.title = title
        self.severity = severity
        self.status = IncidentStatus.NEW
        self.timeline = []

    def add_event(self, event):
        self.timeline.append({
            'time': datetime.now(),
            'event': event
        })

Forensic Collection

# Collect evidence
ps aux > processes.txt
netstat -an > network.txt
last > logins.txt
sudo dd if=/dev/mem of=memory.raw
sha256sum * > checksums.txt

Best Practices

  • Maintain incident response plan
  • Conduct regular drills
  • Preserve evidence chain of custody
  • Document all actions
  • Communicate effectively
  • Learn from incidents

Read the full file on GitHub · 108 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. 6d ago First seen · 108 lines · 67 tokens per session scan A f62e2b736b46

Subscribe to this mod's changes

incident-response-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed yesterday), licensed Apache-2.0. It adds 67 tokens to every session and 720 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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