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.
npx skills add edonadei/caliper --skill screenshotgit clone --depth 1 https://github.com/edonadei/caliperWrote 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.
[](https://agentmods.dev/skills/edonadei/caliper/screenshot)<a href="https://agentmods.dev/skills/edonadei/caliper/screenshot"><img src="https://agentmods.dev/badge/skills/edonadei/caliper/screenshot.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.01941 |
| Opus 5 | $0.00023 | $0.00971 |
| Sonnet 5 | $0.00009 | $0.00388 |
| Haiku 4.5 | $0.00005 | $0.00194 |
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.
This is a copy
100% identical to screenshot — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screenshot Capture
Follow these save-location rules every time:
- If the user specifies a path, save there.
- If the user asks for a screenshot without a path, save to the OS default screenshot location.
- If Codex needs a screenshot for its own inspection, save to the temp directory.
Tool priority
- Prefer tool-specific screenshot capabilities when available (for example: a Figma MCP/skill for Figma files, or Playwright/agent-browser tools for browsers and Electron apps).
- Use this skill when explicitly asked, for whole-system desktop captures, or when a tool-specific capture cannot get what you need.
- Otherwise, treat this skill as the default for desktop apps without a better-integrated capture tool.
macOS permission preflight (reduce repeated prompts)
On macOS, run the preflight helper once before window/app capture. It checks Screen Recording permission, explains why it is needed, and requests it in one place.
The helpers route Swift's module cache to $TMPDIR/codex-swift-module-cache
to avoid extra sandbox module-cache prompts.
bash <path-to-skill>/scripts/ensure_macos_permissions.sh
To avoid multiple sandbox approval prompts, combine preflight + capture in one command when possible:
bash <path-to-skill>/scripts/ensure_macos_permissions.sh && \
python3 <path-to-skill>/scripts/take_screenshot.py --app "Codex"
For Codex inspection runs, keep the output in temp:
bash <path-to-skill>/scripts/ensure_macos_permissions.sh && \
python3 <path-to-skill>/scripts/take_screenshot.py --app "<App>" --mode temp
Use the bundled scripts to avoid re-deriving OS-specific commands.
macOS and Linux (Python helper)
Run the helper from the repo root:
python3 <path-to-skill>/scripts/take_screenshot.py
Common patterns:
- Default location (user asked for "a screenshot"):
python3 <path-to-skill>/scripts/take_screenshot.py
- Temp location (Codex visual check):
python3 <path-to-skill>/scripts/take_screenshot.py --mode temp
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 268 lines · 45 tokens per session scan A 081935a6a163
screenshot is a skill published in the GitHub repository edonadei/caliper (50 stars, last pushed 8d ago), licensed MIT. It adds 45 tokens to every session and 1,941 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to screenshot, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
defuddle
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page. Do NOT use for URLs ending in .md — those are already…
hz-iwsdk-webxr
Builds WebXR experiences for Meta Quest and Horizon OS using the Immersive Web SDK (IWSDK) — ECS architecture, Three.js integration, spatial UI. Use when creating web-based VR/MR apps for Quest Browser.
yao-chatgpt-crawler
Use when a user provides ChatGPT web AI-search keywords, repeat count, target entity, entity type, OpenCLI profile, and crawl interval preference, then needs repeated crawls aggregated into JSON plus a Kami HTML GEO report. Not for generic crawling, ChatGPT API chat, SEO writing, or one-off answers.
yao-doubao-crawler
Use when a user needs repeated Doubao AI-search collection from web or Android Appium into compatible JSON plus Markdown/Excel/HTML GEO reports. Requires keywords/questions and repeat count; target entity/type are required only for target-vs-competitor diagnosis. Not for generic scraping, Doubao API chat, hidden API…
agentql-automation
Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas.
anchor-browser-automation
Automate Anchor Browser tasks via Rube MCP (Composio). Always search tools first for current schemas.