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-initgit 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-init)<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/studio-init"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/studio-init.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.00327 |
| Opus 5 | $0.00019 | $0.00163 |
| Sonnet 5 | $0.00008 | $0.00065 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
studio-init 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 7d 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-init
Bootstraps a new Studio project end to end.
What it does
- Asks the user which archetype to use (explainer / product / ai-short / narrative / montage / tutorial / music-video) and a project title/slug.
- Creates the project folder layout:
<project>/{storyboard.json, cells/, anchors/, renders/, exports/}(andscript.fountainfor the narrative archetype,script.jsonotherwise). - Calls the MCP
archetype.instantiate_into_project --archetype <id>so the chosen archetype'schain[]is expanded into cells instoryboard.json. - Writes
aspect_ratio(defaults: 9:16 for ai-short, 16:9 otherwise) andmode: 'studio'.
Preconditions
Run studio-doctor first if you have never set up the toolchain. The music-video archetype additionally needs studio-beat-detect run against the track before the timeline can snap to beats.
Usage
/studio-init
# → "Which archetype?" → "What's the title?" → folder + storyboard.json created
The archetype list is read live from the catalog (archetype.list), so any installed archetype skill is selectable.
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.
- 7d ago First seen · 29 lines · 39 tokens per session scan A 746eb7ce6ccb
studio-init is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed today), licensed Apache-2.0. It adds 39 tokens to every session and 327 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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