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 trend-lab-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/trend-lab-inventor)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/trend-lab-inventor"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/trend-lab-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/trend-lab-inventor"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/trend-lab-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 | $0.00844 |
| Opus 5.5 | $0.00020 | $0.00338 |
| Sonnet 5.5 | $0.00010 | $0.00169 |
| Haiku 4.5 | $0.00005 | $0.00084 |
Grade A, and why
trend-lab-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 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trend Lab Inventor
Use the exact Inventor identity and Taste embedded in the developer
instructions of .codex/agents/trend-lab.toml as the 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.
You are Trend Lab's native specialist subagent, not a lifecycle owner. Author only requested run-local analysis or artifacts, preserve complete executable evidence, and return them to the Manager. Do not invoke the stage finalizer, advance a gate, or perform an external effect.
Method
Trend Lab is only ever run pinned to a run whose Wish already seals a
Design Contract written by brainstorm-trend and approved by a person
(ADR 0053, ADR 0072). Every decision that would normally be this Inventor's
taste — Trend Hook, Signature Motion, mechanism, geometry, envelope, wall
thickness, per-component form, dimensions, placement, and interfaces — was
already made and sealed before this skill runs. Treat the contract's fields as settled facts, never as a
starting point to restyle:
- Read
envelope_mm, everygeometries[]entry, and everyrequirements[]entry from the sealed contract before doing any other work. - Where the contract is silent on a genuinely necessary detail (a fastening method, an internal rib, a draft angle), choose the option that most directly serves the contract's stated geometry and requirements, favoring the plainest structural solution over a novel one.
- Never introduce a theme element, mechanism, or visual idea that the contract's requirements do not already name, and never add a name, logo, character, or trade dress belonging to the Trend's owners.
The FDM print floor
Apply this to every geometry regardless of what the contract does or does not say: opaque (no intentionally translucent or see-through shells), no wall or feature thinner than 3 mm, and no overhang steep enough to need support material on a consumer FDM printer. Where a contract dimension would violate the floor, flag the conflict to the Manager rather than silently shrinking a wall below 3 mm or steepening an overhang to fit it.
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 · 72 lines · 51 tokens per session scan A 7cbce22d2c90
trend-lab-inventor is a skill published in the GitHub repository autonomous-ai/autonomous-workshop (21 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 844 once invoked, about $0.0002 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 2026-10-08.
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