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 ikenga-hq/ikenga-pkgs --skill archetype-ai-shortgit clone --depth 1 https://github.com/ikenga-hq/ikenga-pkgsWrote 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/ikenga-hq/ikenga-pkgs/archetype-ai-short)<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/archetype-ai-short"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/archetype-ai-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/ikenga-hq/ikenga-pkgs/archetype-ai-short"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/archetype-ai-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 | $0.00029 | $0.00317 |
| Opus 5.5 | $0.00012 | $0.00127 |
| Sonnet 5.5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
studio-ai-short-archetype 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.
What it actually says
AI short archetype
Built-in archetype ai_short for com.ikenga.studio. Its definition lives in archetype.json (validated against ArchetypeSchema from @ikenga/studio-schema); the MCP archetype.* namespace discovers it via the catalog loader.
What it builds
AI-generated vertical short — pattern-break hook → fast beats → cliffhanger close. 9:16 first.
Owned blocks
This skill ships: none owned (chains core + explainer/product blocks) under blocks/. The block catalog aggregates these with every other installed archetype skill + studio-core-blocks, so block.list sees them all regardless of which skill owns them.
Chain
The default block chain is in archetype.json → chain[]. archetype.instantiate_into_project walks the chain, instantiates each block_id with its bindings, and writes the resulting cells into the project's storyboard.json.
Notes
Defaults to aspect_ratio: 9:16. Cells default to an AI renderer in P3; HF/Excalidraw in P1.
Usage
studio-init # pick this archetype at bootstrap
archetype.instantiate_into_project --archetype ai_short --project <slug>
What ships with it
1 file 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.
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 · 33 lines · 29 tokens per session scan A 46c78d8ed4af
studio-ai-short-archetype is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 317 once invoked, about $0.0001 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 2026-08-31.
studio-ai-short-archetype compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| studio-ai-short-archetypeikenga-hq/ikenga-pkgs | Skill | 0 | today | Apache-2.0 | A | 29 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |