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 studio-archetype-buildgit 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/studio-archetype-build)<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/studio-archetype-build"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/studio-archetype-build/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/studio-archetype-build"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/studio-archetype-build.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 | $0.00043 | $0.00396 |
| Opus 5 | $0.00022 | $0.00198 |
| Sonnet 5 | $0.00009 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
studio-archetype-build 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 9d 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
studio-archetype-build
Author a custom archetype by chaining existing blocks.
What it does
- Interviews the user: what's the video for, how long, what beats matter.
- Lists available blocks (
block.list) so you can pick atoms bykind(hook / beat / transition / cta / …). - Builds an ordered
chain[]of{ block_id, bindings }entries, wherebindingsmap each block's parameter names to values. - Validates the draft against
ArchetypeSchema(from@ikenga/studio-schema). - Saves via MCP
archetype.save_custom, which writes<project>/archetypes/<id>/archetype.json. Custom archetypes are then discoverable alongside the seven built-ins.
Output shape
{
"id": "product-demo-30s",
"name": "Product demo (30s)",
"description": "...",
"builtin": false,
"chain": [
{ "block_id": "hook.stat", "bindings": { "stat": "10x faster" } },
{ "block_id": "beat.demo", "bindings": {} },
{ "block_id": "cta.talk-to-us", "bindings": {} }
],
"default_total_duration_ms": 30000,
"metadata": {}
}
Usage
/studio-archetype-build
# → interview → pick blocks → save custom archetype → instantiate into a project
To author a brand-new block (not just chain existing ones), use studio-block-author.
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.
- 9d ago First seen · 44 lines · 43 tokens per session scan A 34aa791c8cd7
studio-archetype-build is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 396 once invoked, about $0.0002 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.
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