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 step-partsgit 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/step-parts)<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-workshop/step-parts"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/step-parts/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/step-parts"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-workshop/step-parts.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 | $0.00122 | $0.01528 |
| Opus 5.5 | $0.00049 | $0.00611 |
| Sonnet 5.5 | $0.00024 | $0.00306 |
| Haiku 4.5 | $0.00012 | $0.00153 |
Grade A, and why
step-parts 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 1mo 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.
This is a copy
91% identical to step-parts — 36 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
CAD Parts
Provenance: maintained in earthtojake/text-to-cad. Use the installed local skill files as the runtime source of truth; the repository link is only for provenance and release review.
Overview
Use the hosted step.parts machine endpoints instead of scraping HTML or relying on local repository files. Treat https://api.step.parts as the canonical API origin and https://www.step.parts as the site/static-asset origin unless the user provides a different hosted mirror. Network/DNS failures are inconclusive: if api.step.parts cannot be reached from the sandbox, retry once with network permission before reporting a miss or using placeholder geometry. Do not describe a part as unavailable unless the API was reachable and returned no relevant candidates.
When a CAD assembly includes named off-the-shelf actuators, servos, motors, electronics boards, connectors, or other purchasable components, search step.parts before creating simplified placeholder geometry. For named servos, motors, and actuators, search both exact model strings and common aliases/vendor spellings before giving up. For example, STS3215 may also appear as ST3215, 3215, Waveshare Feetech ST3215, or under family=feetech. If the API was reachable and no exact or near-exact match is available, record the search miss and then use a documented envelope or simplified stand-in.
Quick Workflow
- Interpret the requested part into search terms and optional filters:
qfor fuzzy tokens, standards, aliases, dimensions, source/product URLs, and attribute names/values.category,family,standard, ortagwhen the user gives an exact filter value.
- Search
/v1/partsthrough the bundled script and rank the compactitemsagainsttotal. The script omits the APIfacetsobject because its counts describe the whole catalog, not your result set — a query matching one bearing still reports thousands of connectors — so facets can never narrow a search. For actuator model numbers, retry likely aliases, dropped letters, vendor names, and--family/--categoryfilters before treating an empty result as a miss; run--facetsonce when you need to see which filter values the catalog actually uses. - If results are ambiguous, present the best few options with
id,name,standard, and key attributes before choosing. If one result clearly matches, return the selected record details without downloading unless the user asked for a local STEP file. - When an exact or near-exact off-the-shelf actuator model is found, prefer downloading and using its STEP file unless there is a clear assembly-time reason to use a simplified envelope. Record that choice explicitly.
- When the user asks to download or save a STEP file, download its
stepUrl, then verify the file with the record'ssha256when present. - Return the local path when downloaded, plus the selected part id and page/API URLs so the user can trace provenance.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +4 lines daa31ce0b737
- 1mo ago First seen · 68 lines · 122 tokens per session scan A fe2080b99c3b
step-parts is a skill published in the GitHub repository autonomous-ai/autonomous-workshop (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 122 tokens to every session and 1,528 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to step-parts, differing in 36 lines, and is treated as a copy.
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