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 kyh/vibedgames --skill media-workflowgit clone --depth 1 https://github.com/kyh/vibedgamesWrote 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/kyh/vibedgames/media-workflow)<a href="https://agentmods.dev/skills/kyh/vibedgames/media-workflow"><img src="https://agentmods.dev/badge/skills/kyh/vibedgames/media-workflow.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 29 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00167 | $0.01959 |
| Opus 5 | $0.00084 | $0.00979 |
| Sonnet 5 | $0.00033 | $0.00392 |
| Haiku 4.5 | $0.00017 | $0.00196 |
Grade A, and why
media-workflow 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 8d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
vg generate workflow production
Runtime: All endpoint calls use the
vg generateCLI (npm install -g vibedgames, orpnpm dogfoodin this repo). The API key lives on the vibedgames server, so there is no per-machine setup. See thegenerateskill for the command reference.
Use this skill when a single model call is not enough. There are two ways in:
- Use-case recipe — your task matches a known kind of content production
(commercial, character, lip-sync, restoration…). Start from the recipe table
below; each recipe lists inputs, the
vg generatecall sequence, and a quality bar. - Custom pipeline — no recipe matches. Design the workflow from scratch using the orchestration patterns in this skill.
A workflow either way is a planned sequence of vg generate calls with clear inputs, outputs, dependencies, and quality checks.
Use-case recipes
Match the user's intent to a recipe, then load that reference. If two apply
(e.g. "commercial featuring a consistent character"), load both and run the more
specific one first. If the task is a single endpoint call, skip recipes and go
straight to the right model-catalog reference.
| Reference | Use for |
|---|---|
| cinematography.md | Cinematic stills and video, shot language, lighting, lens, color grade |
| character-design.md | Original characters with consistent identity across shots |
| commercial.md | Product photography, ads, e-commerce batches, hero shots |
| storytelling.md | Multi-shot narratives, short films, ads, brand films, social stories |
| character-lipsync.md | Talking head / lip-sync video (TTS → animated portrait) |
| image-restoration.md | Smart-dispatch restoration, deblur, denoise, dehaze, fix faces, document restore |
| virtual-tryon.md | Apply a garment onto a person photo (with optional cleanup chain) |
| video-with-audio.md | Add narration / SFX / music to a silent video |
| product-shot.md | Hero product photography from a packshot reference |
| realism.md | Photoreal stills (candid, editorial, documentary, archival, food, nature, architectural) with an anti-AI-look checklist |
What ships with it
14 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.
- references/character-design.md 5.5 KB
- references/character-lipsync.md 4.4 KB
- references/cinematography.md 5.5 KB
- references/commercial.md 9.8 KB
- references/image-restoration.md 4.5 KB
- references/node-rules.md 2.8 KB
- references/pipeline-patterns.md 3.5 KB
- references/product-shot.md 5.9 KB
- references/realism.md 24 KB
- references/recipes.md 3.0 KB
- references/storytelling.md 12 KB
- references/utility-endpoints.md 3.4 KB
- references/video-with-audio.md 5.2 KB
- references/virtual-tryon.md 4.1 KB
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.
- 8d ago First seen · 188 lines · 167 tokens per session scan A 0d062da0fc2d
media-workflow is a skill published in the GitHub repository kyh/vibedgames (55 stars, last pushed today), licensed MIT. It adds 167 tokens to every session and 1,959 once invoked, about $0.0008 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.
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