Copy Editing
coreyhaines31/marketingskills
When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content.
Turn measured requirements into editable OpenSCAD part families, compare fit variants, and deliver checked STLs plus a portable project.
$ npx skills add autonomous-ai/openharness --skill openscad -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness openscad --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/openscad/skills/openscad .claude/skills/openscad && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "openscad" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/openscad/skills/openscad into .claude/skills/openscad/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openscad", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/autonomous-ai/openharness/tree/main/store/agents/openscad/skills/openscadType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add autonomous-ai/openharness --skill openscad -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness openscad --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/store/agents/openscad/skills/openscad .agents/skills/openscad && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openscad" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/openscad/skills/openscad into .agents/skills/openscad/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openscad", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill openscad -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness openscad --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/store/agents/openscad/skills/openscad .cursor/skills/openscad && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openscad" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/openscad/skills/openscad into .cursor/skills/openscad/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openscad", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/autonomous-ai/openharness.git --path store/agents/openscad/skills/openscad--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add autonomous-ai/openharness --skill openscad -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness openscad --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/store/agents/openscad/skills/openscad .gemini/skills/openscad && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "openscad" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/openscad/skills/openscad into .gemini/skills/openscad/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openscad", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install autonomous-ai/openharness openscadInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add autonomous-ai/openharness --skill openscad -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .github/skills && cp -r skills-src/store/agents/openscad/skills/openscad .github/skills/openscad && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "openscad" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/openscad/skills/openscad into .github/skills/openscad/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openscad", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/openharness --skill openscad -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/openharness openscad --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/store/agents/openscad/skills/openscad .opencode/skills/openscad && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openscad" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/openscad/skills/openscad into .opencode/skills/openscad/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openscad", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
openscadTurn measured requirements into editable OpenSCAD part families, compare fit variants, and deliver checked STLs plus a portable project.
Openscad is an agent skill from autonomous-ai/openharness. Turn measured requirements into editable OpenSCAD part families, compare fit variants, and deliver checked STLs plus a portable project.
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `references/design.md`, `scripts/handoff.js` and `scripts/render-part.sh`).
The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.
Read from SKILL.md and the folder at commit 74c2733. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 13 files in scripts/ (JavaScript and Shell), which the agent can run.
Shell commands in SKILL.md call:
nodeshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Openscad loads about 928 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 467 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from autonomous-ai/openharness at commit 74c2733, republished under its MIT licence (© autonomous-ai). 467 words, ~928 tokens.
.claude/skills/openscad/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.Build a useful object from the user's real measurements and intended process. The starter is a drawer-organizer family, not a prescribed shape. For multi-part mechanisms requiring a true B-rep/STEP deliverable, choose a suitable CAD workflow instead of relabeling an STL.
Before authoring a checked project, read references/design.md for the source
interface, requirement schema and probe semantics. Keep the brief and limits in design.json;
implement module part(id, …named parameters…) in model.scad. The builder calls each part with the
saved variant values; it ignores top-level preview geometry. Declared input files are the only
sources copied into the portable project. Compile trusted SCAD only; this is not a sandbox.
Ask for missing measurements that would change the result. Otherwise state assumptions and make progress. For a mating fit, useful variants often differ only in clearance; a small fit coupon can save a full print. Never call a generated coupon a completed physical test.
sh "$OPENSCAD_SKILLS/openscad/scripts/render-part.sh"
node "$OPENSCAD_SKILLS/openscad/scripts/serve-handoff.mjs" "$HARNESS_WORKSPACE"Requires Node 20+ and a separately installed OpenSCAD (tested 2021.01); set OPENSCAD_BIN for a custom
location. The second command prints a loopback-only URL. Open that URL for variant comparison,
native top/front/side sections, individual print-oriented STLs, the measured report and
handoff/project.zip. It remains a saved snapshot after edits; rebuild before relying on it.
The main CAD pane displays the selected design.preview part as part.stl.
The helper renders every variant and part, checks repeat exports agree, then measures the actual
saved mesh: closure/orientation/surface-shell count, required bounds/volume, empty clearance
regions, required material and optional relative-part overlap. It orients individual STLs,
moves them onto the bed, checks the declared build envelope and natively reimports them.
Section planes are explicit; silhouettes are labelled. Outputs publish only after all checks
and source-hash checks pass. A build lock prevents competing writers; previous outputs live in
.harness/history/. Inspect .harness/build.log and .harness/failed-mesh.json after a failure.
Do not remove a lock until its owner process has stopped.
Inspect the actual STL in the CAD Viewer (orbit, section/measure when useful), not a source-code screenshot. Review the handoff on the intended screen size and make a substantive revision. Keep the user's requirements fixed while correcting geometry. Test that a known obstruction or missing material is rejected; do not weaken checks to obtain a green verdict.
The ZIP includes source, variant wrappers, all exported parts/views and standalone rebuild tools.
Extract it and run node rebuild/build.mjs . with Node and OpenSCAD installed; no Harness account
or npm packages are required. preview.scad opens the selected editable configuration in OpenSCAD;
handoff/source-previews/ contains the other configurations. These preserve design coordinates;
downloadable STLs use print coordinates.
Checks cover only declared probe regions, not global minimum thickness or every self-intersection.
They do not certify strength, slicing/supports, packed-plate capacity, food safety or real fit.
Separate the digital evidence, process assumptions and physical testing still needed.
A legacy model.scad without design.json renders a geometry preview with readiness false.
© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts, references) in store/agents/openscad/skills/openscad of autonomous-ai/openharness.
Open the folder on GitHubat commit 74c2733
Openscad next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openscad this skillautonomous-ai/openharness | 1.2k | — | ~928 | Automated safety check: Pass | MIT | |
| Copy Editingcoreyhaines31/marketingskills | 54k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Venice Image Editnexu-io/open-design | 100k | — | ~263 | Automated safety check: Pass | Apache-2.0 | |
| Fal Image Editnexu-io/open-design | 100k | — | ~301 | Automated safety check: Pass | Apache-2.0 | |
| Fal Video Editnexu-io/open-design | 100k | — | ~301 | Automated safety check: Pass | Apache-2.0 | |
| Requirementsrizsotto/Bear | 6.5k | — | ~2k | Automated safety check: Pass | GPL-3.0 |
coreyhaines31/marketingskills
When the user wants to edit, review, or improve existing marketing copy, or refresh outdated content.
nexu-io/open-design
Image edits, upscaling, and background removal via the Venice.ai API.
nexu-io/open-design
AI-powered image editing with style transfer, background removal, object removal, and inpainting via fal.ai hosted models.
nexu-io/open-design
Edit existing videos using AI — remix style, upscale, remove background, and add audio via fal.ai's hosted video models.
rizsotto/Bear
Write, modify, or review a requirement file under docs/requirements -- pick the single owning file, keep the text contract-only, name IDs so they need no explanation, and verify cross-references and…
affaan-m/ECC
Lays out a layered workflow for editing real footage with AI, from raw capture through FFmpeg, Remotion, ElevenLabs and fal.ai to final polish in Descript or CapCut.
autonomous-ai/openharness
Slices 3D mesh files into printer-profiled plain G-code through real slicer CLIs, with backend discovery, input inspection, dry runs and static validation.
autonomous-ai/openharness
Turns a home-automation request into standard, testable automations.yaml, run against Home Assistant Core's real triggers and verified with its own trace tool.
autonomous-ai/openharness
Turns a musical brief into LilyPond concert-pitch music, checked parts for each instrument and a playable practice pack.
autonomous-ai/openharness
Turns an STL and explicit printer and material requirements into compared OrcaSlicer plans, an editable 3MF project, checked G-code and a portable handoff.
autonomous-ai/openharness
Builds an editable DOCX report, a formula-driven XLSX workbook and a fresh LibreOffice PDF preview from one structured source file, then checks them together.
autonomous-ai/openharness
Dry-run, upload, and cautiously initiate local Bambu Lab print jobs from validated plain .gcode, using Bambu LAN FTPS/MQTT handoffs.
Turn measured requirements into editable OpenSCAD part families, compare fit variants, and deliver checked STLs plus a portable project. Openscad is an agent skill from autonomous-ai/openharness. Turn measured requirements into editable OpenSCAD part families, compare fit variants, and deliver checked STLs plus a portable project.
Run `npx skills add autonomous-ai/openharness --skill openscad -a claude-code`. Or copy the skill folder (store/agents/openscad/skills/openscad in autonomous-ai/openharness) into .claude/skills/openscad in your project. Claude Code loads it when a task matches its description.
Run `npx skills add autonomous-ai/openharness --skill openscad -a codex`. Or copy the skill folder (store/agents/openscad/skills/openscad in autonomous-ai/openharness) into .agents/skills/openscad in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add autonomous-ai/openharness --skill openscad -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openscad, .gemini/skills/openscad, .github/skills/openscad and .opencode/skills/openscad in your project.
Going by SKILL.md and its folder, Openscad needs JavaScript and a shell for the scripts in its folder and the command-line tools its instructions call (node and sh). Our summary lists: Node.js; A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Openscad is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 928 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Openscad: Copy Editing (coreyhaines31/marketingskills, 54k stars), Venice Image Edit (nexu-io/open-design, 100k stars), Fal Image Edit (nexu-io/open-design, 100k stars) and Fal Video Edit (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,194 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 9, 2026.
Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.