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-watchgit 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-watch)<a href="https://agentmods.dev/skills/ikenga-hq/ikenga-pkgs/studio-watch"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/studio-watch/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-watch"><img src="https://agentmods.dev/badge/skills/ikenga-hq/ikenga-pkgs/studio-watch.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 | $0.00035 | $0.00286 |
| Opus 5 | $0.00017 | $0.00143 |
| Sonnet 5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
studio-watch 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-watch
Agent-driven, non-blocking build mode. You drive; the canvas follows.
What it does
- Reads the project's
storyboard.jsonand the set of cells needing renders. - Enqueues renders through the MCP
render.*namespace and returns immediately (does not block on render completion). - Signals the iframe canvas to auto-pan to the cell currently being worked, so the human watching sees progress live.
- Polls
render.liston an interval; as eachRenderRecordflips todone, the canvas updates the cell's hi-fi still.
Why non-blocking
Renders (especially AI adapters in P3) can take minutes. studio-watch keeps the agent responsive: it can answer questions, accept edits, or queue more work while renders run in the background supervisor.
Usage
/studio-watch <project-slug>
# canvas auto-pans; agent stays free; poll render.list until all cells are `done`
Pairs with studio-init (which seeds the project) and the chokidar file-watcher (which fires cells/changed within ~60ms of a save).
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 · 29 lines · 35 tokens per session scan A fe76378d3c1a
studio-watch is a skill published in the GitHub repository ikenga-hq/ikenga-pkgs (0 stars, last pushed 2d ago), licensed Apache-2.0. It adds 35 tokens to every session and 286 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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