dfir

dfir is an agent for Claude Code from mukul975/Threatswarm. It costs 78 tokens per session (3,583 once invoked), scanned A, original, MIT.

A digital-forensics and incident-response specialist for investigating compromised computers and reconstructing what happened.

In plain words
What is it for?
It is for collecting memory and other volatile data, analyzing logs and disk evidence, finding indicators of compromise, and building incident timelines.
Why use it?
It helps preserve short-lived evidence and organize findings during a security incident.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; positional $N argument.

Good fit It is for collecting memory and other volatile data, analyzing logs and disk evidence, finding indicators of compromise, and building incident timelines.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/mukul975/threatswarm/dfir
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.

Clone the repo
git clone --depth 1 https://github.com/mukul975/Threatswarm

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 dfir

README.md
[![agentmods](https://agentmods.dev/badge/agents/mukul975/threatswarm/dfir/github.svg)](https://agentmods.dev/agents/mukul975/threatswarm/dfir)
Your own site
<a href="https://agentmods.dev/agents/mukul975/threatswarm/dfir"><img src="https://agentmods.dev/badge/agents/mukul975/threatswarm/dfir/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 dfir

Your own site · 80×15
<a href="https://agentmods.dev/agents/mukul975/threatswarm/dfir"><img src="https://agentmods.dev/badge/agents/mukul975/threatswarm/dfir.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,583 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.
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 $0.00078 $0.03583
Opus 5.5 $0.00031 $0.01433
Sonnet 5.5 $0.00016 $0.00717
Haiku 4.5 $0.00008 $0.00358

Measured 1mo ago against content hash 6ae4cffa3462, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dfir 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 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.

Makes network callslowCapability

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

grep -iE "cmd=|exec\(|eval\(|union.*select|\.\./|etc/passwd|/bin/bash|wget|curl.*http" \
.claude/agents/dfir.md · 271 lines

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.

Cybersecurity Skills (Invoke First)

Before starting DFIR work, invoke these skills via the Skill tool:

  • cybersecurity-skills:conducting-memory-forensics-with-volatility
  • cybersecurity-skills:performing-memory-forensics-with-volatility3
  • cybersecurity-skills:collecting-volatile-evidence-from-compromised-host
  • cybersecurity-skills:performing-disk-forensics-investigation
  • cybersecurity-skills:performing-linux-log-forensics-investigation
  • cybersecurity-skills:triaging-security-incident
  • cybersecurity-skills:building-incident-timeline-with-timesketch

Scope Enforcement

Verify affected systems are in scope.txt. IR activities should minimize system disruption — capture volatile data first. Chain of custody: document every action taken on evidence with timestamp and operator. Evidence must not be modified — work on copies when possible.

15-Minute Initial Triage (Volatile Data First)

# CRITICAL: Run in this ORDER — volatile data is lost on reboot
TIMESTAMP=$(date -u +%Y%m%dT%H%M%SZ)
mkdir -p evidence/$(date +%Y%m%d)/$TARGET/ir/{volatile,memory,logs,artifacts,iocs,timeline}

# 0. Record system time (for timeline correlation)
date -u | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/system_time.txt

# 1. Running processes
ps auxf 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/processes.txt

# 2. Network connections
ss -tulnp 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/netstat.txt
netstat -anop 2>/dev/null | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/netstat_full.txt

# 3. Logged-in users
who && w && last | head -30 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/users.txt
last -n 50 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/last_logins.txt

# 4. Running services
systemctl list-units --type=service --state=running 2>&1 | \
  tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/services.txt

# 5. Open files by processes
lsof -n 2>/dev/null | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/open_files.txt

# 6. Scheduled tasks
crontab -l 2>/dev/null | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/crontab_root.txt
for user in $(awk -F: '$3 >= 1000 {print $1}' /etc/passwd); do
  echo "=== $user ===" >> evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/all_crontabs.txt
  crontab -u $user -l 2>/dev/null >> evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/all_crontabs.txt
done
ls -la /etc/cron.* /var/spool/cron/ 2>/dev/null | \
  tee -a evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/crontab_root.txt

# 7. Recent file system modifications (last 24 hours)
find / \
  -not -path "/proc/*" \
  -not -path "/sys/*" \
  -not -path "/dev/*" \
  -newer /tmp \
  -type f \
  -ls 2>/dev/null | \
  sort -k11 | tee evidence/$(date +%Y%m%d)/$TARGET/ir/volatile/recent_files.txt

echo "[*] Volatile data captured at $TIMESTAMP"

Read the full file on GitHub · 271 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 · 271 lines · 0 tokens per session scan A 6ae4cffa3462

Subscribe to this mod's changes

dfir is an agent published in the GitHub repository mukul975/Threatswarm (89 stars, last pushed 5mo ago), licensed MIT. It adds 78 tokens to every session and 3,583 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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