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Pivot On Ioc

Community
dandye
pivot-on-ioc

Explore GTI relationships for an IOC to discover related entities. Use to expand investigation by finding connected domains, IPs, files, or threat actors. Takes an IOC and relationship types to query.

Overview

Publisherdandye
Repositoryai-runbooks
Skill namepivot-on-ioc
Stars
126
Forks
34
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dandye on GitHub. Read the source before you install it.

Installation

Install the Pivot On Ioc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dandye/ai-runbooks.git /tmp/ai-runbooks
mkdir -p .claude/skills
cp -r /tmp/ai-runbooks/skills/pivot-on-ioc .claude/skills/pivot-on-ioc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pivot On Ioc in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pivot On Ioc on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pivot On Ioc is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Pivot on IOC Skill

Explore relationships connected to an IOC within Google Threat Intelligence (GTI) to discover related entities for investigation expansion.

Inputs

  • IOC_VALUE - The indicator value to pivot from
  • IOC_TYPE - The type: "IP Address", "Domain", "File Hash", "URL", or "Collection"
  • RELATIONSHIP_NAMES - List of relationships to query (see table below)

Available Relationships by IOC Type

IOC TypeCommon Relationships
IP Addresscommunicating_files, downloaded_files, referrer_files, resolutions
Domainresolutions, communicating_files, downloaded_files, subdomains, siblings
File Hashcontacted_domains, contacted_ips, contacted_urls, dropped_files, embedded_domains
URLcommunicating_files, downloaded_files, last_serving_ip_address
Collectionmalware_families, attack_techniques, threat_actors, indicators

Workflow

Step 1: Select GTI Tool

Based on IOC_TYPE:

IOC TypeTool
IP Addressgti-mcp.get_entities_related_to_an_ip_address
Domaingti-mcp.get_entities_related_to_a_domain
File Hashgti-mcp.get_entities_related_to_a_file
URLgti-mcp.get_entities_related_to_an_url
Collectiongti-mcp.get_entities_related_to_a_collection

Step 2: Query Each Relationship

For each relationship in RELATIONSHIP_NAMES:

[selected_tool](
    identifier=IOC_VALUE,
    relationship_name=relationship
)

Store results keyed by relationship name.

Required Outputs

After completing this skill, you MUST report these outputs:

OutputDescription
RELATED_ENTITIESDictionary of entities found per relationship
EXPANDED_IOCSFlattened list of all discovered IOCs (IPs, domains, hashes)
THREAT_CONTEXTThreat actor/campaign context if found during pivoting
PIVOT_STATUSSuccess/failure status of the pivoting

Example Usage

File Hash Investigation:

IOC_VALUE: "abcdef123456..."
IOC_TYPE: "File Hash"
RELATIONSHIP_NAMES: ["contacted_domains", "contacted_ips", "dropped_files"]

Domain Investigation:

IOC_VALUE: "suspicious-domain.com"
IOC_TYPE: "Domain"
RELATIONSHIP_NAMES: ["resolutions", "communicating_files", "subdomains"]

Frequently asked questions

What does the Pivot On Ioc AI skill do?

Explore GTI relationships for an IOC to discover related entities. Use to expand investigation by finding connected domains, IPs, files, or threat actors. Takes an IOC and relationship types to query.

Why use Pivot On Ioc on TypingMind?

Because you install it once and use it with any model. Pivot On Ioc is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pivot On Ioc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dandye/ai-runbooks/tree/main/skills/pivot-on-ioc. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pivot On Ioc?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pivot On Ioc?

As many as you like. As long as a model supports skills, you can use Pivot On Ioc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pivot On Ioc AI skill free?

Yes. It is published on GitHub by dandye under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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