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Evidence

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Encod3d-Sec
evidence

Evidence hygiene before any FIND moves to Completed or enters a report. Cookie redaction, PII black-bar, HAR sanitization, screenshot metadata strip. Run after /triage passes and before final report assembly.

Overview

PublisherEncod3d-Sec
RepositoryTORCH
Skill nameevidence
Stars
334
Forks
48
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by Encod3d-Sec on GitHub. Read the source before you install it.

Installation

Install the 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/Encod3d-Sec/TORCH/tree/main/skills/workflow/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/Encod3d-Sec/TORCH.git /tmp/TORCH
mkdir -p .claude/skills
cp -r /tmp/TORCH/skills/workflow/evidence .claude/skills/evidence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Evidence: PoC Capture & Redaction Discipline

Run this BEFORE attaching any screenshot, HAR, or request/response to a finding report.


Pre-Screenshot Checklist

[ ] Network tab Headers panel collapsed or out of frame
[ ] Burp Request panel hidden behind divider
[ ] No "Copy as cURL" output visible on screen
[ ] DevTools Application -> Cookies tab closed
[ ] Browser URL bar does not show a session token in query string

Cookie / Token Redaction

Must redact:

  • Session cookie value (authn, session, sid, __Secure-id, etc.)
  • CSRF tokens bound to the session
  • Authorization headers (Bearer tokens, JWT)
  • Cookie and Set-Cookie header values for session-bearing cookies

Safe to leave:

  • Cloudflare cookies (__cf_bm, _cfuvid)
  • Analytics cookies (_ga, ajs_anonymous_id)
  • Trace IDs (x-datadog-trace-id, x-request-id) - help triager correlate logs

Redaction method: black rectangle annotation over the cookie value in your image editor. OR use DevTools credentials: 'include' in fetch PoC so cookies never appear in the screenshot.

HAR Sanitization

bash
# Save this as ~/bin/sanitize_har
sanitize_har() {
  local input="$1"
  local output="${1%.har}.sanitized.har"
  jq '
    .log.entries |= map(
      (.request.headers |= map(
        if .name | ascii_downcase | IN("cookie", "authorization", "x-csrf-token")
        then .value = "<REDACTED>" else . end
      )) |
      (.response.headers |= map(
        if .name | ascii_downcase | IN("set-cookie") then .value = "<REDACTED>" else . end
      )) |
      (.request.cookies |= map(.value = "<REDACTED>")) |
      (.response.cookies |= map(.value = "<REDACTED>"))
    )
  ' "$input" > "$output"
  echo "Sanitized: $output"
}
# Verify:
grep -i 'authorization\|"cookie"\|set-cookie' "${1%.har}.sanitized.har" | head -5

PII Black-Bar Protocol

When PoC exposes another user's data (IDOR, etc.):

  • Mask: real names, email local part, phone last 7 digits, addresses, faces
  • Leave: JSON key names, your own test-account UID, trace IDs, request shape

In report body: state "Real PII fields masked with black rectangles per responsible-disclosure hygiene. Unredacted version available on request."

Screenshot Filename Convention

FIND-XXX-step1-pre-state.png
FIND-XXX-step2-exploitation.png
FIND-XXX-step3-post-state.png

Post-Capture

[ ] Open screenshot at full resolution -- search for cookie name substring
[ ] Confirm no internal IPs visible that shouldn't be in report
[ ] Rotate test account credentials after report submission

Frequently asked questions

What does the Evidence AI skill do?

Evidence hygiene before any FIND moves to Completed or enters a report. Cookie redaction, PII black-bar, HAR sanitization, screenshot metadata strip. Run after /triage passes and before final report assembly.

Why use Evidence on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Encod3d-Sec/TORCH/tree/main/skills/workflow/evidence. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Evidence?

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

Is the Evidence AI skill free?

Yes. It is published on GitHub by Encod3d-Sec 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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