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 agentmods add skills/ogrodev/fsociety/malware-classificationnpx skills add ogrodev/fsociety --skill malware-classificationgit clone --depth 1 https://github.com/ogrodev/fsocietyWhat 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 | $0.00449 | $0.03710 |
| Opus 5 | $0.00225 | $0.01855 |
| Sonnet 5 | $0.00090 | $0.00742 |
| Haiku 4.5 | $0.00045 | $0.00371 |
Grade A, and why
malware-classification 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 2d 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.
curl -F "file=@<sample>" http://<cape-host>:8000/apiv2/tasks/create/file/ How it starts
The opening of the file, as written. The whole thing — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Malware Classification
Systematic methodology for triaging unknown binaries, classifying malware families, extracting indicators of compromise, and producing actionable intelligence. Covers the full pipeline from initial sample receipt through final classification report.
Classification Taxonomy
Know what you are looking for. Every sample maps to one of these categories:
| Category | Subcategories | Key Behavioral Signals |
|---|---|---|
| Ransomware | Crypto-locker, locker, wiper-ransom | File enumeration, crypto API calls, ransom note drops, shadow copy deletion |
| RAT | Full RAT, lightweight backdoor | Reverse shell, command dispatch, screenshot capture, keylogging, file exfil |
| Loader/Dropper | Stage-1 loader, dropper, downloader | Downloads next stage, writes to disk or injects, minimal own functionality |
| Stealer/Infostealer | Browser stealer, credential harvester | Reads browser DBs, credential stores, clipboard, crypto wallets |
| Banker Trojan | Web inject, form grabber, overlay | Targets banking URLs, injects into browser, form hooking |
| Botnet Agent | DDoS bot, spam bot, proxy bot | C2 check-in loop, command polling, peer-to-peer comms |
| Rootkit | Kernel rootkit, userland rootkit, bootkit | Driver loading, SSDT hooks, DKOM, MBR/VBR modification |
| Cryptominer | CPU miner, GPU miner | High CPU usage, stratum protocol, mining pool connections |
| Wiper | Destructive wiper, MBR wiper | Overwrites MBR, mass file deletion, no recovery mechanism |
| Spyware | Keylogger, screen capture, audio capture | Input hooks, periodic screenshots, mic access |
| Adware/PUP | Ad injector, browser hijacker | Browser extension install, DNS hijack, ad network callbacks |
Triage Workflow
Follow this sequence. Each phase feeds the next — do not skip steps.
Phase 1 — Sample Receipt and Hashing
Every analysis begins with positive identification and deduplication.
# Compute all hashes for the sample
sha256sum <sample>
md5sum <sample>
ssdeep <sample>
# Check file type
file <sample>
# Track in romero analysis DB
node ${CLAUDE_PLUGIN_ROOT}/scripts/binary-hasher.js hash <sample>
node ${CLAUDE_PLUGIN_ROOT}/scripts/analysis-tracker.js add <sha256> classification pending
What ships with it
5 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.
- 2d ago First seen · 366 lines · 449 tokens per session scan A dd8d68905ef2
malware-classification is a skill published in the GitHub repository ogrodev/fsociety (20 stars, last pushed 5mo ago), licensed MIT. It adds 449 tokens to every session and 3,710 once invoked, about $0.0022 per session on Opus 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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