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Http Evidence

Community
deonmenezes
http-evidence

Turn a captured HTTP request/response into a bounded, redacted evidence pack with a stable request-ref using the mantis_http_audit MCP server, instead of pasting raw traffic into a finding

Overview

Publisherdeonmenezes
Repositorymantishack
Skill namehttp-evidence
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 Http Evidence 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/http-evidence
  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/http-evidence .claude/skills/http-evidence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Http Evidence 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 Http Evidence 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 Http Evidence 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.

Use http_audit (mantis_http_audit MCP server) whenever you have a captured HTTP exchange that proves a web finding, before attaching it as evidence. It converts raw request/response text into a bounded, redacted evidence pack and a stable request_ref/response_ref hash.

Why go through it instead of pasting the raw exchange into the finding:

  • It strips secret-bearing headers (Authorization, Cookie, Set-Cookie, X-Api-Key, CSRF tokens, ...) and inline secrets (AWS keys, GitHub/Slack tokens, JWTs, private keys, user:pass@ in URLs). Raw secrets must never land in a finding, artifact, report, or prompt (PRD section 9/11).
  • It bounds the body: full bodies are hashed and previewed (first 512 bytes), never stored whole.
  • The request_ref is a stable hash of the exchange, so the same request always maps to the same id -- use it to cross-reference and dedup evidence across findings.

Workflow: capture the request (and response) text -> call http_audit({ request, response }) -> attach the returned request_ref/response_ref and the redacted pack to the finding via mantis_findings finding_update evidence. The tool makes NO network call itself; you pass in traffic you already captured under authorized, scoped testing.

Do not defeat the redaction by separately pasting the raw header/body you just redacted into the finding or report. If you need to prove a specific secret was exposed, reference it by its redaction label and location, and follow the secrets-scan skill's remediation guidance (rotate/revoke, then remove from source and history).

Frequently asked questions

What does the Http Evidence AI skill do?

Turn a captured HTTP request/response into a bounded, redacted evidence pack with a stable request-ref using the mantis_http_audit MCP server, instead of pasting raw traffic into a finding

Why use Http Evidence on TypingMind?

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

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

Which AI models can use Http Evidence?

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 Http Evidence?

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

Is the Http Evidence 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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