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 aedev-tools/kling-3-prompting-skill --skill kling-3-promptinggit clone --depth 1 https://github.com/aedev-tools/kling-3-prompting-skillWrote 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/aedev-tools/kling-3-prompting-skill/kling-3-prompting)<a href="https://agentmods.dev/skills/aedev-tools/kling-3-prompting-skill/kling-3-prompting"><img src="https://agentmods.dev/badge/skills/aedev-tools/kling-3-prompting-skill/kling-3-prompting/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/aedev-tools/kling-3-prompting-skill/kling-3-prompting"><img src="https://agentmods.dev/badge/skills/aedev-tools/kling-3-prompting-skill/kling-3-prompting.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 | $0.00056 | $0.02310 |
| Opus 5.5 | $0.00022 | $0.00924 |
| Sonnet 5.5 | $0.00011 | $0.00462 |
| Haiku 4.5 | $0.00006 | $0.00231 |
Grade A, and why
kling-3-prompting 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 2mo 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Kling 3.0 is a unified multimodal video model. It understands cinematic direction, not keyword lists. Write prompts like a director — describe what the audience sees, hears, and feels over time.
Core shift: Description → Direction. Think "direct a scene" not "describe an image."
Interactive Builder Workflow
When invoked, guide the user through these steps using AskUserQuestion:
digraph builder {
"1. Generation mode?" [shape=diamond];
"Text-to-Video" [shape=box];
"Image-to-Video" [shape=box];
"Multi-Shot Sequence" [shape=box];
"Keyframe Transition" [shape=box];
"2. Gather scene details" [shape=box];
"3. Assemble prompt" [shape=box];
"4. Present & refine" [shape=box];
"1. Generation mode?" -> "Text-to-Video";
"1. Generation mode?" -> "Image-to-Video";
"1. Generation mode?" -> "Multi-Shot Sequence";
"1. Generation mode?" -> "Keyframe Transition";
"Text-to-Video" -> "2. Gather scene details";
"Image-to-Video" -> "2. Gather scene details";
"Multi-Shot Sequence" -> "2. Gather scene details";
"Keyframe Transition" -> "2. Gather scene details";
"2. Gather scene details" -> "3. Assemble prompt";
"3. Assemble prompt" -> "4. Present & refine";
}
Step 1: Determine Generation Mode
Ask the user which mode:
- Text-to-Video — prompt from scratch
- Image-to-Video — animate a reference image
- Multi-Shot Sequence — 2-6 shot storyboard (up to 15s)
- Keyframe Transition — start frame → end frame with interpolated motion
Step 2: Gather Scene Details
Ask about each element (adapt questions to mode):
| Element | Question | Why it matters |
|---|---|---|
| Subject | Who/what is the focus? Specific appearance details? | Anchors consistency — define distinguishing traits early |
| Action | What happens? Describe the timeline (first → then → finally) | Kling 3.0 excels at sequential action over 15s arcs |
| Environment | Where? Be specific (not "a street" but "narrow Tokyo alley, steam from grates") | Grounds the scene physically |
| Camera | Shot type and movement? (See camera reference below) | Cinematic language produces far better results |
| Lighting | What light sources? Name them specifically | "Flickering neon" beats "dramatic lighting" |
| Mood/Emotion | What should the audience feel? | Drives color grade, pacing, music |
| Audio | Dialogue? Ambient sound? Music? | Kling 3.0 generates native audio + lip-sync |
| Duration | How long? (3-15s) | Longer = describe progression over time |
| Aspect Ratio | 16:9 / 9:16 / 1:1 / 21:9? | 16:9 cinematic, 9:16 social, 21:9 ultra-wide |
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.
- 2mo ago First seen · 211 lines · 56 tokens per session scan A 7a0764eae366
kling-3-prompting is a skill published in the GitHub repository aedev-tools/kling-3-prompting-skill (29 stars, last pushed 9mo ago), licensed MIT. It adds 56 tokens to every session and 2,310 once invoked, about $0.0002 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.
kling-3-prompting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kling-3-promptingaedev-tools/kling-3-prompting-skill | Skill | 29 | 9mo ago | MIT | A | 56 | Claude Code, Codex |
| llm-app-patternsdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 54 | Claude Code, Codex |
| prompt-engineerJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 93 | Claude Code |
| prompt-optimizationlangwatch/langwatch | Skill | 5.0k | yesterday | Apache-2.0 | A | 105 | Claude Code, Codex |
| omh-model-optimizationrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 84 | Claude Code, Codex |
| ideogram4digitalsamba/claude-code-video-toolkit | Skill | 2.5k | yesterday | MIT | A | 99 | Claude Code |
| prompt-library-for-startupsaws/agent-toolkit-for-aws | Skill | 3.4k | yesterday | Apache-2.0 | A | 228 | Claude Code |