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 TheGoat395/Codex-Skills --skill image-video-loading-qagit clone --depth 1 https://github.com/TheGoat395/Codex-SkillsWrote 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/thegoat395/codex-skills/image-video-loading-qa)<a href="https://agentmods.dev/skills/thegoat395/codex-skills/image-video-loading-qa"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/image-video-loading-qa/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.
<a href="https://agentmods.dev/skills/thegoat395/codex-skills/image-video-loading-qa"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/image-video-loading-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00013 | $0.00221 |
| Opus 5 | $0.00006 | $0.00111 |
| Sonnet 5 | $0.00003 | $0.00044 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
image-video-loading-qa 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 3d 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.
What it actually says
Image Video Loading QA
Use this skill to make media-rich sites look intentional instead of broken, cropped, or slow.
Workflow
- Inspect the affected surface, relevant project scripts, target URL and available inspection tooling; reuse existing context.
- Read Image Video Loading QA Guide before claiming the site is ready.
- Run the narrowest meaningful checks for the risk: visual, mobile, accessibility, performance, forms, media, SEO, analytics, deployment, or handoff.
- Fix issues when they are in scope; otherwise record exact evidence and remaining risk.
- Summarize commands, URLs, screenshots/checks, changed files, and what was not tested.
Scoped execution
Apply the shared web contract once when execution crosses phases; reuse it if already read. Load only the specialist guidance relevant to the requested surface and deliverable.
What ships with it
2 files 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.
- 3d ago Changed · -7 lines · -53 tokens per session 1b9b41c71ac1
- 10d ago First seen · 28 lines · 66 tokens per session scan A b0c169a4a997
image-video-loading-qa is a skill published in the GitHub repository TheGoat395/Codex-Skills (122 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 221 once invoked, about $0.0001 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.
Other skills, from other repositories
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Accessibility Auditor
Comprehensive WCAG 2.1 AA compliance testing combining automated axe-core scans with manual keyboard navigation, screen reader compatibility, and focus management verification.
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Accessibility testing skill using axe-core and Playwright for automated WCAG 2.1 compliance auditing, custom rules, and accessibility reporting.
quality-engineering-selector-stability
Cross-stack selector and test-id policy for web and mobile automation. Use when writing or reviewing E2E/UI test locators, or adding data-testid/accessibility identifiers to components.
frontend-visual-qa
Verify rendered frontend evidence after implementation, including screenshot comparison, responsiveness, overflow, visible states, and scoped visual regression. Use available browser tooling only; exclude static lookup, routine code review, lint, builds, onboarding, and tool detection.
visual-qa
Use when a website needs rendered screenshot review, Playwright visual regression, multi-viewport checks, horizontal overflow detection, console-error checks, focus/state inspection, or a repeatable visual QA evidence set.