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 | $0.00060 | $0.01308 |
| Sonnet 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 10d 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.
- 10d 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 10d ago), licensed MIT. It adds 120 tokens to every session and 2,616 once invoked, about $0.0006 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
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.