Agent skill

Evidence

by Encod3d-Sec in Encod3d-Sec/TORCH

Evidence hygiene before any FIND moves to Completed or enters a report.

MITAuto-check passedSecurity

Install Evidence

skills CLI
$ npx skills add Encod3d-Sec/TORCH --skill evidence -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Encod3d-Sec/TORCH evidence --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workflow/evidence .claude/skills/evidence && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
evidence
GitHub stars
329
Token cost
~700 tokens
SKILL.md length
159 words
Files
1
Skills in repo
35
Repo updated
First seen
Licence
MIT

At a glance

Evidence hygiene before any FIND moves to Completed or enters a report.

  • Security work in your project
  • SKILL.md covers Pre-Screenshot Checklist, Cookie / Token Redaction, HAR Sanitization and PII Black-Bar Protocol, plus 2 more sections
  • Calls jq

What it does

Evidence is an agent skill from Encod3d-Sec/TORCH. 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.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security. The repository describes itself as: Karpathy LLM based claude harness for PenetrationTesting / Bugbounty using obsidian. The licence is MIT.

When your agent uses it

  • Security work in your project

Example prompts

  • “/evidence”

What it can do on your machine

Read from SKILL.md and the folder at commit d21b6c9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Evidence loads about 700 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~700

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Encod3d-Sec/TORCH at commit d21b6c9, republished under its MIT licence (© Encod3d-Sec). 159 words, ~700 tokens.

Download SKILL.mdSave it as .claude/skills/evidence/SKILL.md (or your agent's skills folder).
name
evidence
description
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.

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

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

© Encod3d-Sec, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/workflow/evidence of Encod3d-Sec/TORCH.

Open the folder on GitHubat commit d21b6c9

Compare with similar skills

Evidence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Evidence compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Evidence this skillEncod3d-Sec/TORCH329—~700Automated safety check: PassMIT
Fla Ascend Performancefla-org/flash-linear-attention5.8k—~6.3kAutomated safety check: PassMIT
Deepsec Documentation Guidevercel-labs/deepsec8.1k—~956Automated safety check: PassApache-2.0
Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4811 repos~3.3kAutomated safety check: PassNone
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0

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Categories

Questions about Evidence

What does Evidence do?

Evidence hygiene before any FIND moves to Completed or enters a report. Evidence is an agent skill from Encod3d-Sec/TORCH. Evidence hygiene before any FIND moves to Completed or enters a report.

When should I use Evidence?

Evidence fits situations like: security work in your project.

How do I install Evidence in Claude Code?

Run `npx skills add Encod3d-Sec/TORCH --skill evidence -a claude-code`. Or copy the skill folder (skills/workflow/evidence in Encod3d-Sec/TORCH) into .claude/skills/evidence in your project. Claude Code loads it when a task matches its description.

How do I install Evidence in Codex?

Run `npx skills add Encod3d-Sec/TORCH --skill evidence -a codex`. Or copy the skill folder (skills/workflow/evidence in Encod3d-Sec/TORCH) into .agents/skills/evidence in your project. Codex loads it when a task matches its description.

Can I use Evidence in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Encod3d-Sec/TORCH --skill evidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evidence, .gemini/skills/evidence, .github/skills/evidence and .opencode/skills/evidence in your project.

What does Evidence need to run?

Going by SKILL.md and its folder, Evidence needs the command-line tools its instructions call (jq).

Does Evidence access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Evidence safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Evidence use?

Evidence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Evidence use?

About 700 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Evidence?

Skills that share tags, products or a category with Evidence: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Evidence?

Encod3d-Sec (a GitHub user) maintains it in Encod3d-Sec/TORCH, which has 329 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on September 1, 2026.

Source: Encod3d-Sec/TORCH on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.