Contract First
affaan-m/ECC
Coordinate frontend/backend or service-to-service work through one authoritative machine-checkable contract (OpenAPI, AsyncAPI, Protocol Buffers, or JSON Schema), with generated consumer types and…
Use Torch Points3D registration datasets, configs, pair/fragment contracts, descriptor evaluation notes, FPS sampling, and backend caveats.
Custom licenceAuto-check passed
Install Registration Workflows
$ npx skills add VectorSpaceLab/AREX-Skill --skill registration-workflows -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill registration-workflows --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows .claude/skills/registration-workflows && 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 "registration-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows into .claude/skills/registration-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "registration-workflows", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflowsType 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 VectorSpaceLab/AREX-Skill --skill registration-workflows -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill registration-workflows --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows .agents/skills/registration-workflows && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "registration-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows into .agents/skills/registration-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "registration-workflows", 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 VectorSpaceLab/AREX-Skill --skill registration-workflows -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill registration-workflows --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows .cursor/skills/registration-workflows && 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 "registration-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows into .cursor/skills/registration-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "registration-workflows", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows--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 VectorSpaceLab/AREX-Skill --skill registration-workflows -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill registration-workflows --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows .gemini/skills/registration-workflows && 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 "registration-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows into .gemini/skills/registration-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "registration-workflows", 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 VectorSpaceLab/AREX-Skill registration-workflowsInstalls 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 VectorSpaceLab/AREX-Skill --skill registration-workflows -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows .github/skills/registration-workflows && 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 "registration-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows into .github/skills/registration-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "registration-workflows", 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 VectorSpaceLab/AREX-Skill --skill registration-workflows -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill registration-workflows --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows .opencode/skills/registration-workflows && 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 "registration-workflows" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows into .opencode/skills/registration-workflows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "registration-workflows", 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.
Facts
- Skill name
registration-workflows- GitHub stars
- 330
- Token cost
- ~926 tokens
- SKILL.md length
- 330 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Use Torch Points3D registration datasets, configs, pair/fragment contracts, descriptor evaluation notes, FPS sampling, and backend caveats.
- SKILL.md covers Read First, Main Workflows, Boundary Rules and Safety Checklist
- Runs Python scripts from its folder; calls python
What it does
Registration Workflows is an agent skill from VectorSpaceLab/AREX-Skill. Use Torch Points3D registration datasets, configs, pair/fragment contracts, descriptor evaluation notes, FPS sampling, and backend caveats.
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/registration-evaluation.md`, `references/registration-workflows.md` and `references/troubleshooting.md`).
The repository describes itself as: A Skill Library for Automated Machine Learning.
Example prompts
- “/registration-workflows”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Registration Workflows loads about 926 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 330 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.
Safety
Auto-check passed
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.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 330 words (~926 tokens).
“Use this sub-skill when the user asks about Torch Points3D registration tasks: 3DMatch fragments/patches, KITTI, ETH/TUM/KAIST/Planetary test sets, pair data, fragment descriptor files, FPS sampling, registration model configs, or registration-specific sparse/Open3D/backend issues.”
- name
- registration-workflows
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- NOASSERTION
Files
SKILL.md and 4 other files (scripts, references) in skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/registration-evaluation.md
- references/registration-workflows.md
- references/troubleshooting.md
- scripts/fps_registration_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Registration Workflows 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 |
|---|---|---|---|---|---|---|
| Registration Workflows this skillVectorSpaceLab/AREX-Skill | 330 | — | ~926 | Automated safety check: Pass | Custom licence | |
| Contract Firstaffaan-m/ECC | 276k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| DatasetsArize-ai/phoenix | 12k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Smart Contract Formal Verificationsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Smart Contract Upgrade Governancesickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Soroban Contract Auditsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Registration Workflows
What does Registration Workflows do?
Use Torch Points3D registration datasets, configs, pair/fragment contracts, descriptor evaluation notes, FPS sampling, and backend caveats. Registration Workflows is an agent skill from VectorSpaceLab/AREX-Skill. Use Torch Points3D registration datasets, configs, pair/fragment contracts, descriptor evaluation notes, FPS sampling, and backend caveats.
How do I install Registration Workflows in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill registration-workflows -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows in VectorSpaceLab/AREX-Skill) into .claude/skills/registration-workflows in your project. Claude Code loads it when a task matches its description.
How do I install Registration Workflows in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill registration-workflows -a codex`. Or copy the skill folder (skills/repositories/repo-skills/torch-points3d/sub-skills/registration-workflows in VectorSpaceLab/AREX-Skill) into .agents/skills/registration-workflows in your project. Codex loads it when a task matches its description.
Can I use Registration Workflows in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill registration-workflows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/registration-workflows, .gemini/skills/registration-workflows, .github/skills/registration-workflows and .opencode/skills/registration-workflows in your project.
What does Registration Workflows need to run?
Going by SKILL.md and its folder, Registration Workflows needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Registration Workflows access the network?
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.
Is Registration Workflows safe to install?
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.
What licence does Registration Workflows use?
Registration Workflows has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Registration Workflows use?
About 926 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Registration Workflows?
Skills that share tags, products or a category with Registration Workflows: Contract First (affaan-m/ECC, 276k stars), Datasets (Arize-ai/phoenix, 12k stars), Smart Contract Formal Verification (sickn33/agentic-awesome-skills, 47k stars) and Smart Contract Upgrade Governance (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Registration Workflows?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.