screenshot

screenshot is a skill for Claude Code from valkor-ai/loom. It costs 87 tokens per session (1,590 once invoked), scanned A, original, Apache-2.0.

A guide for capturing screenshots from a running Godot game with godot-e2e, including single captures and screenshots taken during test scenarios.

In plain words
What is it for?
Use it to capture one or more gameplay screenshots, create a reference image, or verify a game state visually.
Why use it?
It provides visual evidence of the game's actual state for checking, debugging, or sharing results.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to capture one or more gameplay screenshots, create a reference…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/valkor-ai/loom/screenshot
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add valkor-ai/loom --skill screenshot
Clone the repo
git clone --depth 1 https://github.com/valkor-ai/loom

Made for: Claude Code.

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/valkor-ai/loom/screenshot.svg)](https://agentmods.dev/skills/valkor-ai/loom/screenshot)
Your own site
<a href="https://agentmods.dev/skills/valkor-ai/loom/screenshot"><img src="https://agentmods.dev/badge/skills/valkor-ai/loom/screenshot.svg" alt="Measured on agentmods" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,590 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00087 $0.01590
Opus 5 $0.00044 $0.00795
Sonnet 5 $0.00017 $0.00318
Haiku 4.5 $0.00009 $0.00159

Measured 7d ago against content hash 720a18ed5803, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

screenshot scanned grade A with 0 findings 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 7d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/shared/loom/skills/godot/screenshot/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Screenshot — Gameplay Capture via godot-e2e

$ARGUMENTS

Capture screenshots from a running Godot game using godot-e2e's internal viewport capture. Works headless, multi-monitor safe, no external tools needed.

Quick Capture (single screenshot)

Write and run a Python script:

# capture_screenshot.py
import os, sys
from godot_e2e import GodotE2E

project_path = sys.argv[1] if len(sys.argv) > 1 else "."
save_path = sys.argv[2] if len(sys.argv) > 2 else "screenshot.png"

with GodotE2E.launch(project_path, timeout=15.0) as game:
    game.wait_for_node("/root/Main", timeout=10.0)
    game.wait_seconds(1.0)  # let the game render a few frames
    result = game.screenshot(save_path=save_path)
    print(f"Screenshot saved: {result}")

Run: python capture_screenshot.py <project_dir> <output_path>

Multi-Point Capture (E2E with screenshots)

For capturing multiple screenshots during a gameplay scenario:

# capture_gameplay.py
import os, sys
from godot_e2e import GodotE2E

project_path = sys.argv[1] if len(sys.argv) > 1 else "."
output_dir = sys.argv[2] if len(sys.argv) > 2 else "screenshots"
os.makedirs(output_dir, exist_ok=True)

with GodotE2E.launch(project_path, timeout=15.0) as game:
    game.wait_for_node("/root/Main", timeout=10.0)

    # 1. Initial state
    game.wait_seconds(0.5)
    game.screenshot(save_path=os.path.join(output_dir, "01_initial.png"))

    # 2. After some interaction (customize per game)
    game.wait_seconds(2.0)
    game.screenshot(save_path=os.path.join(output_dir, "02_gameplay.png"))

    # 3. Later state
    game.wait_seconds(3.0)
    game.screenshot(save_path=os.path.join(output_dir, "03_later.png"))

    print(f"Captured {len(os.listdir(output_dir))} screenshots to {output_dir}/")

Frame Sequence for VQA Dynamic Mode

For scenes with motion, animation, or physics, the visual-qa skill's Dynamic mode expects a reference image plus N frames captured at 0.5s intervals (2 FPS cadence). Output goes into a per-scene subdirectory (e2e/screenshots/scene_{name}/) so multiple scenes don't collide:

Read the full file on GitHub · 176 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. 7d ago First seen · 176 lines · 87 tokens per session scan A 720a18ed5803

Subscribe to this mod's changes

screenshot is a skill published in the GitHub repository valkor-ai/loom (968 stars, last pushed 21d ago), licensed Apache-2.0. It adds 87 tokens to every session and 1,590 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.