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 Kingdaddy007/my-os --skill seedance-prompt-shortgit clone --depth 1 https://github.com/Kingdaddy007/my-osWrote 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/kingdaddy007/my-os/seedance-prompt-short)<a href="https://agentmods.dev/skills/kingdaddy007/my-os/seedance-prompt-short"><img src="https://agentmods.dev/badge/skills/kingdaddy007/my-os/seedance-prompt-short/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/kingdaddy007/my-os/seedance-prompt-short"><img src="https://agentmods.dev/badge/skills/kingdaddy007/my-os/seedance-prompt-short.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00073 | $0.00542 |
| Opus 5 | $0.00036 | $0.00271 |
| Sonnet 5 | $0.00015 | $0.00108 |
| Haiku 4.5 | $0.00007 | $0.00054 |
Grade A, and why
seedance-prompt-short 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 12d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 43 lines · 73 tokens per session scan A e39bb8ce5799
seedance-prompt-short is a skill published in the GitHub repository Kingdaddy007/my-os (5 stars, last pushed 3mo ago), with no licence file. It adds 73 tokens to every session and 542 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
prompt-optimizer
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite…
gemini-api
Google Gemini API patterns for Python and TypeScript. Covers content generation, streaming, tool use (function calling), vision, system instructions, context caching, batch requests, and agent workflows. Use when building applications with the Gemini API or Google Generative AI SDKs.
image-prompt
A Korean-language skill that turns a rough image idea into a detailed prompt for gpt-image-2, OpenAI’s image-generation model.
create-great-prompts
Write effective prompts for LLM agents — system prompts, workflow instructions, skill files, and agent configurations. Use when creating or improving prompts that agents will execute.
reasoning
This skill should be used when the user wants to "chain-of-thought prompting", "ReAct agent", "tree of thought", "step-by-step reasoning", "structured reasoning agents", "agent thinking", "scratchpad reasoning", "self-consistency", "reasoning traces", "deliberate thinking", "agent metacognition", "think before…
appendix-prompt-engineering
This skill should be used when the user wants to learn "prompt engineering", "few-shot prompting", "zero-shot prompting", "chain of thought prompting", "structured output prompting", "role prompting", "system prompt design", "prompt best practices", "CoT prompting", "Pydantic structured output", "prompt iteration"…