Techstack Correlation logo

Techstack Correlation

Organization
transilienceai
techstack-correlation

Correlation, confidence scoring, and conflict resolution across all tech-stack signals. Cross-validates and assigns High/Medium/Low confidence per technology.

Overview

Publishertransilienceai
Repositorycommunitytools
Skill nametechstack-correlation
Stars
565
Forks
81
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Techstack Correlation 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.
    https://github.com/transilienceai/communitytools/tree/main/skills/techstack-identification/correlation
  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/transilienceai/communitytools.git /tmp/communitytools
mkdir -p .claude/skills
cp -r /tmp/communitytools/skills/techstack-identification/correlation .claude/skills/techstack-correlation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Techstack Correlation 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 Techstack Correlation 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 Techstack Correlation 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.

Tech-Stack Correlation

Scope

The Phase 4 layer that consumes all detection outputs (frontend, backend, infra, security, OSINT) and produces the final vetted technology list:

  • Cross-validate signals from independent sources for corroboration
  • Score confidence per technology (multi-factor weighted scoring)
  • Resolve conflicts between signals (version mismatch, mutually exclusive frameworks, temporal inconsistencies, categorical ambiguity)
  • Flag unresolvable conflicts for manual review

Signals (input)

  • Raw signals grouped by category: http, dns, tls, javascript, html, repository, job, archive
  • Inferred technologies from each detection domain (frontend / backend / infra / security)
  • Asset inventory (domains, subdomains, IP map) for URL-context resolution

Inferences (output)

  • correlated_technologies[] — each with sources, source_count, agreement_score, corroborating_signals
  • conflicts[] — typed (version_mismatch / mutually_exclusive / temporal_inconsistency / categorical_ambiguity), with severity
  • technologies_with_confidence[] — confidence level (High / Medium / Low), score (0-1), reasoning breakdown
  • confidence_summary — counts, overall score, per-category breakdown, recommendations
  • confidence_gaps[] — technologies needing additional evidence with suggested actions

Techniques

See reference/patterns.md.

When to use

  • Always — last analysis stage before report generation
  • Required to decide what makes the final tech-stack list and at what confidence
  • Pure computation; no external requests

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 Techstack Correlation AI skill do?

Correlation, confidence scoring, and conflict resolution across all tech-stack signals. Cross-validates and assigns High/Medium/Low confidence per technology.

Why use Techstack Correlation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/transilienceai/communitytools/tree/main/skills/techstack-identification/correlation. 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 Techstack Correlation?

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 Techstack Correlation?

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

Is the Techstack Correlation AI skill free?

Yes. It is published on GitHub by transilienceai 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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