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 prime-skills/runcomfy-agent-skills --skill kling-3-0git clone --depth 1 https://github.com/prime-skills/runcomfy-agent-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/prime-skills/runcomfy-agent-skills/kling-3-0)<a href="https://agentmods.dev/skills/prime-skills/runcomfy-agent-skills/kling-3-0"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/kling-3-0/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/prime-skills/runcomfy-agent-skills/kling-3-0"><img src="https://agentmods.dev/badge/skills/prime-skills/runcomfy-agent-skills/kling-3-0.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00182 | $0.04634 |
| Opus 5 | $0.00091 | $0.02317 |
| Sonnet 5 | $0.00036 | $0.00927 |
| Haiku 4.5 | $0.00018 | $0.00463 |
Grade A, and why
kling-3-0 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.
How it starts
The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kling 3.0 - Pro Pack on RunComfy
runcomfy.com · docs · GitHub
Kling 3.0 is Kuaishou Technology's third-generation cinematic video model. This skill covers all six Kling 3.0 rendering endpoints on RunComfy: three quality tiers (Standard, Pro, 4K) across two modes (text-to-video and image-to-video).
What Kling 3.0 is
Kling 3.0 is the V3 generation of the Kling video model. It produces multi-shot cinematic video with synchronized native audio, consistent character identity across shots, and physics-aware motion. Compared to Kling 2.x, Kling 3.0 supports longer clips (up to 15 seconds), native 4K output on the 4K tier, and a unified multi-prompt segment system that lets one Kling 3.0 generation contain several distinct scenes with controlled transitions.
Kling 3.0 ships in three rendering tiers on RunComfy, each available as text-to-video or image-to-video:
- Standard - cheapest tier, up to 1080p output. Use Kling 3.0 Standard for fast iteration, previews, A/B variants, social shorts.
- Pro - highest fidelity at 1080p. Use Kling V3.0 Pro for hero-quality 1080p clips where motion realism and identity preservation matter most.
- 4K - native 3840x2160 output. Use Kling V3.0 4K for high-resolution brand films, big-screen cinematic sequences, and finished masters at native resolution.
All three tiers share the same Kling 3.0 multi-shot architecture. Tiers differ in resolution ceiling, motion-fidelity budget, and pricing.
The 6 Kling 3.0 endpoints
Each endpoint corresponds to one (tier, mode) pair. All six endpoints share the same Kling 3.0 base model.
| Endpoint | Anchor | Resolution | Rate (no audio) | Rate (with audio) |
|---|---|---|---|---|
kling/kling-3.0/standard/text-to-video |
Kling 3.0 Standard t2v | up to 1080p | $0.084/s | $0.126/s |
kling/kling-3.0/standard/image-to-video |
Kling 3.0 Standard Image to Video | up to 1080p | $0.084/s | $0.126/s |
kling/kling-3.0/pro/text-to-video |
Kling V3.0 Pro Text-to-Video | 1080p | $0.112/s | $0.168/s |
kling/kling-3.0/pro/image-to-video |
Kling V3.0 Pro Image-to-Video | 1080p | $0.112/s | $0.168/s |
kling/kling-3.0/4k/text-to-video |
Kling V3.0 4K Text-to-Video | 3840x2160 | $0.42/s flat | $0.42/s flat |
kling/kling-3.0/4k/image-to-video |
Kling V3.0 4K Image-to-Video | 3840x2160 | $0.42/s flat | $0.42/s flat |
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 · 287 lines · 182 tokens per session scan A bbad428f4ad5
kling-3-0 is a skill published in the GitHub repository prime-skills/runcomfy-agent-skills (44 stars, last pushed 4mo ago), licensed MIT. It adds 182 tokens to every session and 4,634 once invoked, about $0.0009 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…