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 godot-fun/godot-framework --skill video-publishgit clone --depth 1 https://github.com/godot-fun/godot-frameworkWrote 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/godot-fun/godot-framework/video-publish)<a href="https://agentmods.dev/skills/godot-fun/godot-framework/video-publish"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-publish/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/godot-fun/godot-framework/video-publish"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-publish.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 | $0.00120 | $0.02616 |
| Opus 5.5 | $0.00048 | $0.01046 |
| Sonnet 5.5 | $0.00024 | $0.00523 |
| Haiku 4.5 | $0.00012 | $0.00262 |
Grade A, and why
video-publish 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Publish
From user materials only, produce a full publish pack and write files (do not only print in chat).
Inputs
Any mix of: video/storyboard, title ideas, product/brief text, stills, constraints. Optional: one input file path (used only to locate the output directory).
Do not invent product facts, prices, logos, or claims not in the materials. If goal/audience is ambiguous, state one short assumption and proceed.
Output directory
| Mode | Write files to |
|---|---|
| User provides an input file | That file’s parent directory |
| No input file | Project root |
Always overwrite these filenames in the output directory (create if missing).
Required output files
| File | Content |
|---|---|
zhihu.md |
1 Chinese Zhihu article |
reddit.md |
1 English Reddit post |
covers-landscape.md |
3 landscape Google image-gen prompts |
covers-portrait.md |
3 portrait Google image-gen prompts |
platforms.md |
Title / description / tags for all 8 platforms |
Chat after write: short confirm only (output dir + file list). Do not dump full copy into chat unless the user asks.
Copy-friendly MD
Articles are normal Markdown — zhihu.md and reddit.md stay readable long-form (headings, paragraphs). Do not wrap the whole article in a code fence.
Paste fields use fences — platform Title / Description / Tags, and each cover prompt: one field = one fence so one-click copy works.
Fence rules (covers + platforms.md only):
- Headings/labels outside the fence; only the text to paste inside
- Prefer plain
```with no language - Inside: raw publish text only — no extra structural markdown
- Do not put multiple platforms or multiple fields in one fence
Workflow
- Resolve output directory (file parent vs project root)
- Inventory materials; infer topic, hook, audience, tone
- Write all 5 files (articles as normal MD; covers + platforms with paste fences)
- Consistency pass (same core claim/hook across platforms; no invented facts)
- Confirm paths in chat
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.
- 1mo ago First seen · 281 lines · 120 tokens per session scan A 9bcbbb3ea7fa
video-publish is a skill published in the GitHub repository godot-fun/godot-framework (116 stars, last pushed 1mo ago), licensed MIT. It adds 120 tokens to every session and 2,616 once invoked, about $0.0005 per session on Opus 5.5. 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
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…