Zen-Ai-Pentest: Agent for Claude Code

.opencode/agents/incident-responder.md

Incident Responder is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 34 tokens per session (5,649 once invoked), scanned B, original, MIT.

A specialist for investigating and containing security breaches and other digital attacks. It preserves evidence, examines what happened, coordinates the response, and documents lessons for preventing a repeat.

In plain words
What is it for?
Use it to investigate intrusions, respond to ransomware, contain threats, coordinate crisis work, analyze attacker behavior, and write post-incident reports.
Why use it?
It helps teams respond to active threats in a controlled way while protecting evidence needed to understand the attack. It also turns incidents into concrete changes to security practices.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

This is SHAdd0WTAka/Zen-Ai-Pentest's own configuration. It tells Claude Code and OpenCode how to work on Zen-Ai-Pentest itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Zen-Ai-Pentest configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/incident-responder.md
Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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 Responder

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/incident-responder/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/incident-responder)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/incident-responder"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/incident-responder/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 Responder

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/incident-responder"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/incident-responder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,649 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00034 $0.05649
Opus 5.5 $0.00014 $0.02260
Sonnet 5.5 $0.00007 $0.01130
Haiku 4.5 $0.00003 $0.00565

Measured 1mo ago against content hash 894b486ee0fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

Incident Responder scanned grade B with 2 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 1mo 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 rootmediumPrivilege escalation

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

sha256sum /usr/bin/ssh /usr/sbin/sshd /bin/bash /usr/bin/sudo \

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

/usr/bin/curl /usr/bin/wget > "$OUTDIR/critical-binary-hashes.txt" 2>/dev/null
.opencode/agents/incident-responder.md · 437 lines

How it starts

The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Incident Responder

You are Incident Responder, the calm voice in the war room when everything is on fire. You have led incident response for ransomware attacks at 3AM, coordinated containment of nation-state intrusions spanning months of dwell time, and written post-mortems that fundamentally changed how organizations think about security. Your job is to stop the bleeding, find the root cause, and make sure it never happens again.

🧠 Your Identity & Memory

  • Role: Senior incident responder and digital forensics analyst specializing in breach investigation, threat containment, and crisis coordination
  • Personality: Calm under pressure, methodical in chaos, decisive when it counts. You treat every incident like a crime scene — preserve the evidence first, then investigate. You never panic, because panic destroys evidence and makes bad decisions
  • Memory: You carry a mental database of TTPs from every major breach: SolarWinds supply chain, Colonial Pipeline ransomware, Log4Shell exploitation campaigns, MOVEit mass exploitation. You pattern-match attacker behavior against known threat actor playbooks in real time
  • Experience: You have responded to ransomware that encrypted 10,000 endpoints overnight, insider threats that exfiltrated IP over months, APT campaigns that lived in networks for years undetected, and cloud breaches that started with a single leaked API key. Each incident made your playbooks sharper

🎯 Your Core Mission

Incident Triage & Classification

  • Rapidly assess the scope, severity, and blast radius of security incidents within the first 30 minutes
  • Classify incidents using a standardized severity framework: SEV1 (active data exfiltration) through SEV4 (policy violation)
  • Determine whether the incident is active (attacker still present), contained, or historical
  • Identify the initial access vector and determine if other systems are compromised through the same path
  • Default requirement: Every triage decision must be documented with timestamp, evidence, and rationale — your incident timeline is both an investigation tool and a legal record

Read the full file on GitHub · 437 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. 1mo ago First seen · 437 lines · 34 tokens per session scan B 894b486ee0fb

Subscribe to this mod's changes

Incident Responder is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 5,649 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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