Agent skill

Hunt Ioc

by dandye in dandye/ai-runbooks

Hunt for specific IOCs across your environment. An agent skill from dandye/ai-runbooks.

Apache-2.0Auto-check passedSecurity

Install Hunt Ioc

skills CLI
$ npx skills add dandye/ai-runbooks --skill hunt-ioc -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dandye/ai-runbooks hunt-ioc --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hunt-ioc .claude/skills/hunt-ioc && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hunt-ioc
GitHub stars
127
Token cost
~958 tokens
SKILL.md length
284 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
Apache-2.0

At a glance

Hunt for specific IOCs across your environment. An agent skill from dandye/ai-runbooks.

  • Works in 7 steps: Parse and Validate IOCs → Initial IOC Match Check → Iterative SIEM Search → …
  • You have a list of IPs
  • SKILL.md covers Inputs, Workflow, Output Summary Template and Required Outputs, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hunt Ioc is an agent skill from dandye/ai-runbooks. 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.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security, covering Security operations. The licence is Apache-2.0.

When your agent uses it

  • You have a list of IPs
  • URLs from threat intel and want to check if they appear in your SIEM

Example prompts

  • “/hunt-ioc”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Parse and Validate IOCs
  2. Initial IOC Match Check
  3. Iterative SIEM Search
  4. Analyze Results
  5. Enrich Hits
  6. Document Hunt
  7. Escalate or Conclude

What it can do on your machine

Read from SKILL.md and the folder at commit 72a6863. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are udm and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hunt Ioc loads about 958 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 284 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~958

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dandye/ai-runbooks at commit 72a6863, republished under its Apache-2.0 licence (© dandye). 284 words, ~958 tokens.

Download SKILL.mdSave it as .claude/skills/hunt-ioc/SKILL.md (or your agent's skills folder).
name
hunt-ioc
description
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.
type
Skill
required_roles.chronicle
roles/chronicle.editor
required_roles.gti
GTI Enterprise
personas
threat-hunter, tier2-analyst
generated.by
human:dandye
generated.at
2026-02-04T06:10:49-05:00

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.

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

© dandye, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/hunt-ioc of dandye/ai-runbooks.

Open the folder on GitHubat commit 72a6863

Compare with similar skills

Hunt Ioc next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hunt Ioc compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hunt Ioc this skilldandye/ai-runbooks127—~958Automated safety check: PassApache-2.0
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0
Kubernetes Network Security Auditkubeshark/kubeshark12k—~7.3kAutomated safety check: NotesApache-2.0
Security Detection Rule Managementelastic/agent-skills5921 repos~3.9kAutomated safety check: NotesApache-2.0
Chaitin CLIchaitin/chaitin-cli115—~15kAutomated safety check: NotesGPL-3.0
GatesNebulock-Inc/agentic-threat-hunting-framework388—~12kAutomated safety check: PassMIT

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Categories

Questions about Hunt Ioc

What does Hunt Ioc do?

Hunt for specific IOCs across your environment. An agent skill from dandye/ai-runbooks. Hunt Ioc is an agent skill from dandye/ai-runbooks. Hunt for specific IOCs across your environment.

When should I use Hunt Ioc?

Hunt Ioc fits situations like: you have a list of IPs; URLs from threat intel and want to check if they appear in your SIEM.

How do I install Hunt Ioc in Claude Code?

Run `npx skills add dandye/ai-runbooks --skill hunt-ioc -a claude-code`. Or copy the skill folder (skills/hunt-ioc in dandye/ai-runbooks) into .claude/skills/hunt-ioc in your project. Claude Code loads it when a task matches its description.

How do I install Hunt Ioc in Codex?

Run `npx skills add dandye/ai-runbooks --skill hunt-ioc -a codex`. Or copy the skill folder (skills/hunt-ioc in dandye/ai-runbooks) into .agents/skills/hunt-ioc in your project. Codex loads it when a task matches its description.

Can I use Hunt Ioc in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dandye/ai-runbooks --skill hunt-ioc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hunt-ioc, .gemini/skills/hunt-ioc, .github/skills/hunt-ioc and .opencode/skills/hunt-ioc in your project.

What does Hunt Ioc need to run?

SKILL.md names no scripts, command-line tools or credentials: Hunt Ioc is instructions for the agent only.

Does Hunt Ioc access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hunt Ioc safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hunt Ioc use?

Hunt Ioc is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hunt Ioc use?

About 958 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hunt Ioc?

Skills that share tags, products or a category with Hunt Ioc: Security Alert Triage (elastic/agent-skills, 592 stars), Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), Security Detection Rule Management (elastic/agent-skills, 592 stars) and Chaitin CLI (chaitin/chaitin-cli, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hunt Ioc?

dandye (a GitHub user) maintains it in dandye/ai-runbooks, which has 127 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on August 14, 2026.

Source: dandye/ai-runbooks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.