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SecurityMarketData

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danielmiessler
SecurityMarketData

Query curated cybersecurity market and company intelligence. USE WHEN security market data OR cybersecurity funding OR cyber M&A OR security-company/investor research OR market maps OR deal activity OR Return on Security OR The Signal. NOT FOR vulnerability research, security news, or investment advice.

Overview

Publisherdanielmiessler
RepositoryLifeOS
Skill nameSecurityMarketData
Stars
19K
Forks
2.5K
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the SecurityMarketData 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/danielmiessler/LifeOS.git /tmp/LifeOS
mkdir -p .claude/skills
cp -r /tmp/LifeOS/LifeOS/install/skills/SecurityMarketData .claude/skills/SecurityMarketData
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable SecurityMarketData 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 SecurityMarketData 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 SecurityMarketData 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.

SecurityMarketData

Query Return on Security's Signal data through its live MCP interface, with evidence, freshness, and analytical boundaries intact.

Customization

Before executing, check ~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/SecurityMarketData/. If present, load enabled preferences and configuration; otherwise use these defaults.

Voice Notification

When executing QueryMarket, run:

bash
curl -s -X POST http://localhost:31337/notify -H 'Content-Type: application/json' -d '{"message":"Running the QueryMarket workflow in the SecurityMarketData skill to query cybersecurity market data"}' > /dev/null 2>&1 &

Output: Running the QueryMarket workflow in the SecurityMarketData skill to query cybersecurity market data...

Workflow Routing

WorkflowTriggerFile
QueryMarketAny supported market, company, investor, funding, M&A, or lifecycle queryWorkflows/QueryMarket.md

Load References/ToolCatalog.md only when selecting tools, confirming tiers, or using the REST fallback. Do not preload it for routing.

Setup and Diagnostics

Prefer Streamable HTTP MCP. For Hermes:

bash
hermes mcp add signal-mcp --url https://mcp.returnonsecurity.com/mcp
hermes mcp list

OAuth 2.1 authorization is interactive. It cannot be bypassed, automated away, or claimed complete before the user finishes it.

Optional vendor examples:

bash
claude mcp add signal-mcp https://mcp.returnonsecurity.com/mcp
claude mcp list
codex mcp add signal-mcp https://mcp.returnonsecurity.com/mcp
codex mcp login signal-mcp

Examples

  • Funding trend: “Show quarterly funding trends for cloud security and distinguish observed rounds from forecasts.”

  • Company enrichment: “Enrich this security company and report its category, funding, investors, lifecycle, and data freshness.”

  • Category M&A: “Map identity-security M&A activity, acquirers, and observed consolidation signals for the last three years.”

Gotchas

  • Prefer Streamable HTTP MCP with OAuth 2.1. Tokens last 24 hours; never report authentication as complete until the interactive OAuth flow succeeds.

  • Free access provides 180 calls/day and 12 tools; Pro adds 21 tools; Enterprise adds one. Preserve and report returned quota information.

  • Discover live schemas and never guess arguments. For unfamiliar filters, begin with list_categories and/or list_countries; check get_data_status before substantive queries.

  • Preserve and report freshness. Never imply values the data does not disclose.

  • The proprietary taxonomy has two layers: category domains and product categories, with metadata tags. Do not flatten them into an invented taxonomy.

  • Separate observed records from heuristics and forecasts. Explicitly label suggest_acquirers, forecast_funding, exit_score, and consolidation or growth scores as analytical outputs rather than observed facts.

  • Do not scrape when MCP or REST is available. Use REST only when ROS_API_KEY exists; never request or expose its value.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the SecurityMarketData AI skill do?

Query curated cybersecurity market and company intelligence. USE WHEN security market data OR cybersecurity funding OR cyber M&A OR security-company/investor research OR market maps OR deal activity OR Return on Security OR The Signal. NOT FOR vulnerability research, security news, or investment advice.

Why use SecurityMarketData on TypingMind?

Because you install it once and use it with any model. SecurityMarketData 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 SecurityMarketData in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielmiessler/LifeOS/tree/main/LifeOS/install/skills/SecurityMarketData. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use SecurityMarketData?

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 SecurityMarketData?

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

Is the SecurityMarketData AI skill free?

Yes. It is published on GitHub by danielmiessler under the MIT 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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