dandye/ai-runbooks/hunt-ioc

Claude Code and agent skill by dandye/ai-runbooks

Trust tier 2
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Hunt for specific IOCs across your environment. Use when you have a list of IPs, domains, hashes, or URLs from threat intel and want to check if they appear in your SIEM. Systematic searching with enrichment and documentation.

Install

npx vskill@latest install dandye/ai-runbooks/hunt-ioc

SKILL.md

IOC Threat Hunt Skill

Proactively hunt for specific Indicators of Compromise (IOCs) across the environment based on threat intelligence feeds, recent incidents, or emerging threats.

Inputs

  • IOC_LIST - Comma-separated list of IOC values to hunt
  • IOC_TYPES - Corresponding types (e.g., "IP Address, Domain, File Hash")
  • HUNT_TIMEFRAME_HOURS - Lookback period (default: 96)
  • (Optional) HUNT_CASE_ID - SOAR case for tracking
  • (Optional) REASON_FOR_HUNT - Why these IOCs are being hunted

Workflow

Step 1: Parse and Validate IOCs

Parse IOC_LIST and IOC_TYPES into structured list. Validate IOC formats (IP regex, hash length, etc.).

Step 2: Initial IOC Match Check
secops-mcp.get_ioc_matches(hours_back=HUNT_TIMEFRAME_HOURS)

Check if any IOCs appear in integrated threat feeds.

Step 3: Iterative SIEM Search

For each IOC, construct appropriate UDM query:

IP Address:

udm
(principal.ip = "IOC" OR target.ip = "IOC" OR network.ip = "IOC")

Domain:

udm
(principal.hostname = "IOC" OR target.hostname = "IOC" OR network.dns.questions.name = "IOC")

File Hash:

udm
(target.file.sha256 = "IOC" OR target.file.md5 = "IOC" OR target.file.sha1 = "IOC")

URL:

udm
target.url = "IOC"

Execute each search:

secops-mcp.search_security_events(text=query, hours_back=HUNT_TIMEFRAME_HOURS)
Step 4: Analyze Results

For each search result:

  • Identify affected hosts, users, processes
  • Note event types (login, network connection, file execution)
  • Assess if activity is suspicious or expected
Step 5: Enrich Hits

If hits found for an IOC:

Use /enrich-ioc for the IOC itself.

For involved entities (hosts, users):

secops-mcp.lookup_entity(entity_value=ENTITY)
Step 6: Document Hunt

Use /document-in-case (if HUNT_CASE_ID provided):

IOC Hunt Summary:
- IOCs Hunted: [list]
- Timeframe: [hours]
- Queries Used: [list with results summary]
- IOCs with Hits: [list with details]
- IOCs with No Hits: [list - confirms environment is clean]
- Enrichment: [for hits]
- Recommendations: [next steps]
Step 7: Escalate or Conclude

Confirmed malicious activity: → Create/update incident case → Trigger appropriate response runbook

No significant findings: → Document hunt completion → Note clean IOCs for future reference

Output Summary Template

markdown
# IOC Hunt Results
**Hunt Date:** [timestamp]
**Timeframe:** Last [X] hours
**Reason:** [REASON_FOR_HUNT]
## IOCs Searched
| IOC | Type | Result | Notes |
|-----|------|--------|-------|
| 198.51.100.10 | IP | NO HITS | Clean |
| evil.com | Domain | 3 HITS | DNS lookups from HOST1 |
## Hits Analysis
[Details for each IOC with hits]
## Recommendations
[Actions to take]

Required Outputs

After completing this skill, you MUST report these outputs:

OutputDescription
MATCHESIOCs found in SIEM (list of IOCs with hits)
MATCH_CONTEXTContext for each match (events, assets, users affected)
MATCHES_FOUNDBoolean: true if any IOCs found in environment, false otherwise

Critical Requirements

  • Search ALL provided IOCs (don't skip any)
  • Use correct timeframe (not 1 hour instead of 72)
  • Document negative results (confirms environment is clean)
  • Don't declare "clean" if there were obvious hits

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationWarning, 75 of 100Marginal. 1 run. Evaluated 8 months ago.

Source

Popularity

Repository stars
127
Repository forks
34
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 2 Apr 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/dandye/ai-runbooks/hunt-ioc/badge)](https://verified-skill.com/skills/dandye/ai-runbooks/hunt-ioc)

Something wrong with this skill or its page? Tell us.