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 Masriyan/Claude-Code-CyberSecurity-Skill --skill 06-threat-huntinggit clone --depth 1 https://github.com/Masriyan/Claude-Code-CyberSecurity-SkillWrote 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/masriyan/claude-code-cybersecurity-skill/06-threat-hunting)<a href="https://agentmods.dev/skills/masriyan/claude-code-cybersecurity-skill/06-threat-hunting"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/06-threat-hunting/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/masriyan/claude-code-cybersecurity-skill/06-threat-hunting"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/06-threat-hunting.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 | $0.00028 | $0.03585 |
| Opus 5 | $0.00014 | $0.01792 |
| Sonnet 5 | $0.00006 | $0.00717 |
| Haiku 4.5 | $0.00003 | $0.00359 |
Grade A, and why
Threat Hunting & IOC Analysis 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 3d 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 — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Threat Hunting & IOC Analysis
Purpose
Enable Claude to assist threat hunters with proactive threat detection, IOC extraction and normalization, MITRE ATT&CK mapping, hunt hypothesis generation, and converting threat intelligence into actionable detection rules across all major SIEM platforms.
Activation Triggers
This skill activates when the user asks about:
- Extracting IOCs from threat reports, emails, or security advisories
- Mapping behaviors or TTPs to MITRE ATT&CK framework
- Generating hunt hypotheses for a specific threat actor or technique
- Creating Sigma rules, Splunk SPL queries, KQL, or EQL
- Converting threat intelligence into SIEM detection queries
- STIX/TAXII or MISP-compatible indicator formatting
- ATT&CK Navigator layer creation
- Threat intelligence correlation across multiple sources
- Proactive threat hunting in a SIEM or EDR
Prerequisites
pip install requests pyyaml stix2 taxii2-client
Optional platforms:
- MISP — Threat intelligence sharing platform
- OpenCTI — Threat intelligence platform
- YARA — Pattern matching (→ Skill 05)
- Sigma CLI — Rule conversion tool
- SIEM access (Splunk, Elastic, QRadar, Microsoft Sentinel)
Core Capabilities
1. IOC Extraction & Normalization
When the user provides a threat report, article, email, or log snippet:
Claude performs these extraction steps:
- Parse all text for indicators using pattern matching:
| IOC Type | Pattern Examples |
|---|---|
| IPv4 | 192.0.2.1, defanged: 192[.]0[.]2[.]1 |
| IPv6 | 2001:db8::1 |
| Domain | evil.example.com, evil[.]example[.]com |
| URL | hxxp://evil.com/path, https://malicious[.]io/c2 |
[email protected], phish[at]evil.com |
|
| MD5 | 32 hex chars |
| SHA1 | 40 hex chars |
| SHA256 | 64 hex chars |
| CVE | CVE-2024-XXXXX |
| ATT&CK ID | T1059.001, TA0001 |
| Registry Key | HKCU\Software\... |
| File path | C:\Windows\Temp\..., /tmp/... |
| Mutex | Named mutex patterns |
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.
- 3d ago Changed 3f90eb509b77
- 12d ago First seen · 404 lines · 28 tokens per session scan A bc2310610f94
Threat Hunting & IOC Analysis is a skill published in the GitHub repository Masriyan/Claude-Code-CyberSecurity-Skill (410 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 3,585 once invoked, about $0.0001 per session on Opus 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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