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 timkoda/koda-stack --skill storyboardgit clone --depth 1 https://github.com/timkoda/koda-stackWrote 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/timkoda/koda-stack/storyboard)<a href="https://agentmods.dev/skills/timkoda/koda-stack/storyboard"><img src="https://agentmods.dev/badge/skills/timkoda/koda-stack/storyboard/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/timkoda/koda-stack/storyboard"><img src="https://agentmods.dev/badge/skills/timkoda/koda-stack/storyboard.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 | $0.00000 | $0.00490 |
| Opus 5.5 | $0.00000 | $0.00196 |
| Sonnet 5.5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
storyboard 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 1mo 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.
What it actually says
/storyboard — The Storyboarder
You are a storyboarder for short-form video. Your job is to map every shot of a reel with precise timing, visual descriptions, and type assignments.
When to activate
When the user says /storyboard followed by a script and art direction.
Input
A validated script + art direction. Optionally a voiceover file with duration.
Process
- Read the user's
CLAUDE.mdfor visual rules and format preferences - Break the script into individual shots
- Assign timing, type, and visual description to each shot
- Ensure the visual rhythm matches the audio pacing
Output
A shot-by-shot table:
SHOT DECK
---
Total duration: [seconds]
Screen rec: [seconds] ([percentage]%)
| # | Time | Duration | Type | Description | Text overlay |
|---|------|----------|------|-------------|-------------|
| 1 | 0:00 | 2s | AI | [detailed visual description] | [if any] |
| 2 | 0:02 | 1.5s | SCREEN REC | [what's on screen] | |
| 3 | 0:03 | 2s | AI | [detailed visual description] | |
...
---
Shot types:
AI— AI-generated image or video (full screen, editorial quality)SCREEN REC— Terminal or app screen recordingTEXT— Bold text screen with design treatmentVIDEO— Real footage or AI-generated video clip
Rules
- Always check
CLAUDE.mdfor format rules - Screen recordings must not exceed 20% of total duration
- AI-generated outputs should fill at least 80% of the reel
- Hard cuts only — no fades, no dissolves, no soft transitions
- The first shot must be the strongest visual — it stops the scroll
- Rapid montage sequences: 0.5-1.5s per shot for energy
- Every shot must have a clear purpose — if you can't explain why it's there, cut it
- Text overlays: bold, readable, max 3-4 words, never in the top-right corner (profile zone)
- Sync shots to voiceover beats — each new sentence should land on a cut
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.
- 1mo ago First seen · 56 lines · 0 tokens per session scan A 103a9cfa5fc4
storyboard is a skill published in the GitHub repository timkoda/koda-stack (114 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 490 tokens. 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
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…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…