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Program Analysis

Community
deonmenezes
program-analysis

Use ast_grep_scan, source_sink_scan, and smt_check_reachability (mantis_program_analysis MCP server) to move a candidate toward a proven-reachable finding

Overview

Publisherdeonmenezes
Repositorymantishack
Skill nameprogram-analysis
Stars
503
Forks
75
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 deonmenezes on GitHub. Read the source before you install it.

Installation

Install the Program Analysis 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/deonmenezes/mantishack/tree/main/.codex/skills/program-analysis
  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/deonmenezes/mantishack.git /tmp/mantishack
mkdir -p .claude/skills
cp -r /tmp/mantishack/.codex/skills/program-analysis .claude/skills/program-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Program Analysis 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 Program Analysis 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 Program Analysis 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.

The mantis_program_analysis MCP server is the program-analysis substrate (PRD FR-3.1/3.2/3.3): it doesn't find vulnerabilities by itself, it gives you the primitives to prove or disprove reachability for candidates surfaced elsewhere (semgrep, CodeQL, manual reading).

Three tools, three different jobs:

  • source_sink_scan: fast, dependency-free regex proxy for attacker-controlled-input sources (req.query, request.args, os.Args, ...) and dangerous sinks (eval, exec, innerHTML, pickle.loads, ...) across JS/TS, Python, Go, and Java. This is a recall tool, not proof -- it will surface sources and sinks in the same file or project without knowing if they're actually connected. Use it to cheaply widen your candidate list early in Recon/Detect, then manually trace whether a specific source really flows to a specific sink.
  • ast_grep_scan: precise structural search when you need to find every call site of a specific pattern (e.g. exec($CMD, $CB)) with real AST semantics instead of regex guessing. Use this to enumerate all call sites of a sink once you've picked a vulnerability class to chase, or to confirm a source-sink pair you suspect from source_sink_scan actually appears in the same statement/scope.
  • smt_check_reachability: once you've traced a concrete path from source to sink and can express the path condition (e.g. "sink fires when cmd is attacker-controlled and no allowlist check occurred on that branch") as SMT-LIB2 constraints, hand it to z3. sat means an attacker-controlled assignment exists that reaches the sink -- move the candidate to Validate. unsat means the path is provably unreachable under those constraints -- reject it and cite the unsat result as the roadblock. unknown proves nothing either way; don't treat it as a pass.

None of these three tools replace attacker-simulation validation -- they narrow candidates and prove/disprove reachability so validation time is spent on things that can actually matter.

Frequently asked questions

What does the Program Analysis AI skill do?

Use ast_grep_scan, source_sink_scan, and smt_check_reachability (mantis_program_analysis MCP server) to move a candidate toward a proven-reachable finding

Why use Program Analysis on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/deonmenezes/mantishack/tree/main/.codex/skills/program-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Program Analysis?

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 Program Analysis?

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

Is the Program Analysis AI skill free?

Yes. It is published on GitHub by deonmenezes 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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