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 transilienceai/communitytools --skill dfirgit clone --depth 1 https://github.com/transilienceai/communitytoolsWrote 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/transilienceai/communitytools/dfir)<a href="https://agentmods.dev/skills/transilienceai/communitytools/dfir"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/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.
<a href="https://agentmods.dev/skills/transilienceai/communitytools/dfir"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/dfir.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 | $0.00051 | $0.01533 |
| Opus 5.5 | $0.00020 | $0.00613 |
| Sonnet 5.5 | $0.00010 | $0.00307 |
| Haiku 4.5 | $0.00005 | $0.00153 |
Grade A, and why
dfir 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DFIR
Investigate security incidents by analyzing event logs, network captures, and filesystem artifacts. Detect and reconstruct AD attack chains.
Techniques
| Domain | Key Capabilities |
|---|---|
| Windows Event Logs | EVTX parsing, Event ID correlation, logon tracking, privilege enumeration |
| Network Forensics | PCAP analysis, NTLM extraction, LLMNR/NBT-NS poisoning detection, relay identification |
| Filesystem Forensics | MFT parsing, Prefetch analysis, VSS artifact recovery, Linux persistence, timeline reconstruction |
| AD Attack Detection | Kerberoasting, AS-REP roasting, NTDS dump, NTLM relay, credential theft |
| Memory Forensics | Volatility3 analysis: process trees, file extraction, SID resolution, command lines |
| Hash Analysis | NTLMv2 hash construction from pcap, offline cracking validation |
Workflow
- Inventory evidence — List all artifacts (EVTX, pcap, MFT, prefetch, registry)
- Parse structured data — EVTX with
python-evtx, pcap withtshark, MFT withanalyzeMFT - Identify attack indicators — Key Event IDs, suspicious traffic patterns, anomalous files
- Correlate across sources — Match timestamps, IPs, LogonIDs, and process IDs across artifacts
- Reconstruct timeline — Build chronological attack chain with UTC timestamps
- Answer investigative questions — Map findings to specific incident response queries
Tools
pip install python-evtx windowsprefetch analyzeMFT
brew install wireshark p7zip hashcat
| Tool | Purpose |
|---|---|
python-evtx |
Parse Windows .evtx files |
tshark |
CLI pcap analysis (NTLM, LLMNR, SMB filters) |
analyzeMFT |
Parse NTFS Master File Table |
windowsprefetch |
Parse Windows prefetch files (Windows host only) |
hashcat |
Hash cracking (NTLMv2 mode 5600, Kerberos mode 13100/18200) |
volatility3 |
Memory dump analysis (pstree, filescan, dumpfiles, getsid, cmdline) |
7z |
Extract AES-encrypted evidence ZIPs |
What ships with it
33 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.
- reference/c2-traffic-decryption.md 5.9 KB
- reference/dfir-principles.md 4.5 KB
- reference/filesystem-forensics.md 6.5 KB
- reference/INDEX.md 4.6 KB
- reference/network-forensics.md 6.0 KB
- reference/scenarios/ad-attack-detection/dcsync-detection.md 3.9 KB
- reference/scenarios/ad-attack-detection/golden-ticket-detection.md 3.9 KB
- reference/scenarios/ad-attack-detection/kerberos-roast-detection.md 3.6 KB
- reference/scenarios/ad-attack-detection/lateral-movement-indicators.md 4.2 KB
- reference/scenarios/filesystem/lnk-file-analysis.md 3.4 KB
- reference/scenarios/filesystem/ntfs-mft-analysis.md 3.6 KB
- reference/scenarios/filesystem/prefetch-analysis.md 3.3 KB
- reference/scenarios/filesystem/shellbags-userassist.md 2.9 KB
- reference/scenarios/filesystem/timeline-creation.md 3.0 KB
- reference/scenarios/log-analysis/linux-auth-logs.md 3.4 KB
- reference/scenarios/log-analysis/splunk-spl-queries.md 4.1 KB
- reference/scenarios/log-analysis/sysmon-rules.md 3.4 KB
- reference/scenarios/log-analysis/webserver-logs.md 3.5 KB
- reference/scenarios/log-analysis/windows-event-logs.md 4.2 KB
- reference/scenarios/malware/cobalt-strike-beacon-config-extraction.md 8.7 KB
- reference/scenarios/malware/malicious-browser-extension-exfil.md 4.3 KB
- reference/scenarios/memory/injected-code-detection.md 3.4 KB
- reference/scenarios/memory/memory-credential-extraction.md 3.4 KB
- reference/scenarios/memory/network-artifacts-from-mem.md 3.4 KB
- reference/scenarios/memory/nimplant-minidump-task-recovery.md 7.1 KB
- reference/scenarios/memory/volatility-process-analysis.md 3.5 KB
- reference/scenarios/pcap/c2-traffic-decryption.md 5.9 KB
- reference/scenarios/pcap/credential-extraction.md 3.9 KB
- reference/scenarios/pcap/dns-tunneling-detection.md 4.9 KB
- reference/scenarios/pcap/http-objects-export.md 2.8 KB
- reference/scenarios/pcap/tcp-stream-extraction.md 2.8 KB
- reference/scenarios/pcap/tls-decryption.md 3.0 KB
- reference/windows-event-analysis.md 3.8 KB
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 · 82 lines · 51 tokens per session scan A d3e88317709a
dfir is a skill published in the GitHub repository transilienceai/communitytools (600 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 1,533 once invoked, about $0.0002 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 2026-08-30.
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