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 agentmods add skills/meltflexdevs/techdrawai-skills/techdrawai-draftingnpx skills add MeltFlexDevs/techdrawai-skills --skill techdrawai-draftinggit clone --depth 1 https://github.com/MeltFlexDevs/techdrawai-skillsWrote 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/meltflexdevs/techdrawai-skills/techdrawai-drafting)<a href="https://agentmods.dev/skills/meltflexdevs/techdrawai-skills/techdrawai-drafting"><img src="https://agentmods.dev/badge/skills/meltflexdevs/techdrawai-skills/techdrawai-drafting.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 | $0.00087 | $0.01473 |
| Opus 5 | $0.00044 | $0.00737 |
| Sonnet 5 | $0.00017 | $0.00295 |
| Haiku 4.5 | $0.00009 | $0.00147 |
Grade A, and why
techdrawai-drafting 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 4d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TechDraw AI: drafting from a photograph
Turns a photograph of a physical object into a dimensioned, standards-compliant 2D technical drawing. For DXF and DWG export, 3D reconstruction and product renders, use the techdrawai-cad skill on whatever this one writes.
Setup (once)
npx -y techdrawai-mcp auth login # browser sign-in, no key to copy
Requires an active Studio plan. If a tool reports a plan error, say so plainly and point at https://techdrawai.com/app?view=subscription rather than retrying. Keys can also be created in Settings and passed as TECHDRAWAI_API_KEY.
Tools
generate_technical_drawing
Photo to dimensioned technical drawing. 3 credits.
image(required): the photo, as a local file path, an http(s) URL or a data URL.product_name: what the object is. Improves the title block and, when dimensions are estimated, the estimates themselves. Runidentify_productfirst if you do not know.measurements: dimensions the user actually measured, each{ value, unit?, orientation?, position? }. The single biggest quality lever. See below.estimate_dimensions: let the model infer sizes. Defaults to true when no measurements are given.units:mm(default),cm,m,in.standard:ISO(default) orANSI.paper_size:A4toA0for ISO (defaultA3),ANSI AtoANSI Efor ANSI (defaultANSI B).projection:first-angle(default, ISO and Europe) orthird-angle(ANSI and North America).drawing_type:working(default, fully dimensioned production drawing),assembly(numbered balloons plus a parts list),as-fitted(a record of the item as built),patent(numbered figure, no dimensions).views: any offront,top,side,isometric. Defaults to front, top and side.notes: material, finish, tolerances, anything else to state on the sheet.output_path: defaults to./techdrawai-output/drawing-<timestamp>.png.
identify_product
Names the main object in a photo in two or three words. Free. Cheap groundwork: an agent that knows it is looking at a "cast-iron wall bracket" writes a much better title block and estimates far better dimensions than one working from "product".
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.
- 4d ago First seen · 80 lines · 87 tokens per session scan A 7166ab08ecd4
techdrawai-drafting is a skill published in the GitHub repository MeltFlexDevs/techdrawai-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,473 once invoked, about $0.0004 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.
Other skills, from other repositories
qcad
Use when editing DXF files with a professional open-source 2D CAD application — CAM output, part libraries, isometric projection. QCAD: open-source 2D CAD with DXF as native format, scriptable via ECMAScript.
solvespace
Use when doing lightweight parametric 2D/3D CAD with constraint-based sketching — linkages, section analysis, STL export for 3D printing. SolveSpace: ultra-light parametric constraint solver CAD with real-time solving.
basic-part
Create a simple, fully dimensioned solid part using parameters, common features, inspect, preview, and export an authoritative CAD artefact.
kompas-mcp-operator
Operate KOMPAS-3D MCP for 2D drawings, 3D parts, CAD-as-Code scripts, screenshots, exports, runtime memory, remote/local recovery, and Graph Brain diagnostics. Use when Codex needs to create, edit, inspect, validate, or debug geometry through mcpkompas3d, especially for sketch-feature chains, reusable scenarios…
cad
Create, modify, inspect, and validate STEP-first parametric CAD parts and assemblies. Use for natural-language CAD specs, reference images, 2D technical drawings, STEP/STP generation or direct inspection, Python CAD source, source-level joints, selector references, geometry facts, measurements, mating deltas…
dxf
Generate, regenerate, and validate 2D DXF drawings from Python ezdxf sources. Use for DXF files, .dxf.py generators, gendxf() sources, 2D profiles, outlines, templates, gaskets, panels, flat patterns, laser/plasma/waterjet cut layouts, and 2D drawing exports of CAD geometry.