screenshot

screenshot is a skill for Claude Code, Codex from Encod3d-Sec/TORCH. It costs 99 tokens per session (3,875 once invoked), scanned A, original, MIT.

A workflow for capturing screenshots of web pages and security-test results as evidence in an engagement record.

In plain words
What is it for?
Use it during authorized security testing to record entry pages, leaked data, vulnerability results, authenticated states, or flags for a report.
Why use it?
It turns a written walkthrough into visual proof and keeps captured evidence in the expected project folders. It also limits captures to approved, in-scope hosts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash /root/vm.sh 'python3 /tmp/exploit.py 2>&1 | tee /tmp/poc/flag3.log'.

Good fit Use it during authorized security testing to record entry pages, leaked data, vulnerability results, authenticated states, or flags for a report.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Encod3d-Sec/TORCH
agentmods
npx agentmods add skills/encod3d-sec/torch/screenshot

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for screenshot

README.md
[![agentmods](https://agentmods.dev/badge/skills/encod3d-sec/torch/screenshot/github.svg)](https://agentmods.dev/skills/encod3d-sec/torch/screenshot)
Your own site
<a href="https://agentmods.dev/skills/encod3d-sec/torch/screenshot"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/screenshot/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for screenshot

Your own site · 80×15
<a href="https://agentmods.dev/skills/encod3d-sec/torch/screenshot"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/screenshot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,875 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high YARA Match · line 119
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • high YARA Match · line 128
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • medium Data Exfiltration · line 54
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.03875
Opus 5.5 $0.00040 $0.01550
Sonnet 5.5 $0.00020 $0.00775
Haiku 4.5 $0.00010 $0.00387

Measured 1mo ago against content hash 2d3c87c61457, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

screenshot scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

is fine (it's a GET you already make). Never screenshot a host you would not curl.
skills/workflow/screenshot/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Screenshot: visual PoC capture

Turn the text walkthrough into evidence. Capture runs on the Kali tooling host (it has the VPN route to in-scope targets); the PNG is then pulled into the vault under targets/<eng>/poc/. Driver: scripts/shot.py (chromium headless). For redaction-before-report use Skill(evidence).

One evidence dir, captured by hand. poc/ = the curated story you choose to show (login, the exploited state, the flag). ALL PoC evidence is now captured MANUALLY and LIVE via capture.sh straight into poc/ the moment a step lands - there is no auto-capture net.

Scope check

Only screenshot in-scope hosts (read targets/<eng>/scope.md). On passive_only RoE a screenshot is fine (it's a GET you already make). Never screenshot a host you would not curl.

What to capture: EVERY breakthrough, as it happens (with retries)

Screenshot the moment each step LANDS, not at the end - the box may expire. A breakthrough = anything you'd put in the report: the entry page, a leaked secret / useful source (deobfuscated JS, a config, an app.log), the cipher / decrypt response, the vuln firing, the authed/exploited state, the flag. Tell the arc (Entry -> Trigger -> Impact) AND capture the intermediate proofs (the leak, the crypto response) - those are exactly what a reviewer disbelieves without a picture.

  • Always show the URL. Every web/source capture must carry its address bar so the image is self-identifying - which page/path it is (https://T/folder/folder/log.md), not an anonymous blob. Live <url> mode adds it automatically; for --html/--term of a fetched resource pass --url-bar "<full URL>".
  • Retry (box is up). Renders fail transiently (nav timeout, cold chromium). Retry 2-3x and confirm the PNG is non-empty ([ -s out.png ]) before moving on; while the box is up, go back and re-capture anything you missed rather than shipping evidence with gaps. Name NN-slug.png (NN = step order) so the evidence reads top-to-bottom.

Read the full file on GitHub · 208 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 208 lines · 99 tokens per session scan A 2d3c87c61457

Subscribe to this mod's changes

screenshot is a skill published in the GitHub repository Encod3d-Sec/TORCH (336 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 3,875 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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