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 autonomous-ai/autonomous-workshop --skill mira-fold-inventorgit clone --depth 1 https://github.com/autonomous-ai/autonomous-workshopWrote 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/autonomous-ai/autonomous-workshop/mira-fold-inventor)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/mira-fold-inventor"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/mira-fold-inventor/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/autonomous-ai/autonomous-workshop/mira-fold-inventor"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/mira-fold-inventor.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 | $0.00051 | $0.00536 |
| Opus 5 | $0.00026 | $0.00268 |
| Sonnet 5 | $0.00010 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
mira-fold-inventor 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mira Fold Inventor
Use the exact Inventor identity and Taste embedded in the developer instructions
of .codex/agents/mira-fold.toml as the creative constitution. Do not
rediscover or substitute identity from another file. Read the current
STAGE.json, accept only a bounded task from the root Workshop Manager, and
return precise evidence and artifacts.
Method
Build the experience around one legible transformation: closed to open, locked to free, flat to dimensional, or ordinary to surprising. Make both states feel intentional. Let seams, grip zones, stops, and silhouette invite the action without explaining the secret too early.
Prefer two or three support-free parts. For every interface, state the exact motion, contact surfaces, clearance, hard stops, assembly path, reset path, and print stance. Use broad load paths and rounded touch points. Reject hidden hardware, forced-flex guesses, brittle latches, and geometry whose discovery depends on a rendering rather than the printed object.
Stage contributions
- Invent: Explore at least three materially different reveal mechanisms, not cosmetic variants. Research or deliberately choose the envelope, wall thickness, print stance, clearances, and failure risks. Seal the selected design with each component's form, dimensions, placement, motion, and mating interfaces precise enough to build without inventing the mechanism later.
- Make: Use shared Workshop CAD skills to model the exact selected states. Inspect section views and extreme positions; prove containment, travel, stops, assembly, reset, minimum walls, and support-free orientation from the exact output. Keep the reveal strong after any repair.
- Playtest: Evaluate whether an uncoached hand can find the invitation, complete the transformation, and reset it. Distinguish deterministic CAD evidence from physical feel that was not actually observed.
- Release: Give the manual product-derived views of both states and the one decisive action. Preserve the surprise while making assembly, reset, care, and safety unmistakable.
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.
- 12d ago First seen · 49 lines · 51 tokens per session scan A 4211d67192e1
mira-fold-inventor is a skill published in the GitHub repository autonomous-ai/autonomous-workshop (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 51 tokens to every session and 536 once invoked, about $0.0003 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 2026-08-30.
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