Rivet
AI-assisted hardware builder: turn a photo or prompt into an interactive 3D parts model, and for the supported rover a verified BOM, wiring, assembly steps, simulation and ESP32 firmware.
Install / Use
npx skills add zhao0524/RivetInstalls into whichever agent you are using.
Devin Config
Devin AI agent config
Quality Score
Category
Customer SupportSupported Platforms
Our assessment of Rivet
Rivet scores 54/100 on our quality scale, 317th of 330 Customer Support skills we index.
Its Devin Config is 1.9 KB long, split into 6 sections with 1 code example: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Rivet compared with similar skills
All 4 of these similar skills score higher than Rivet; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| Rivet (this skill)by zhao0524 | 54 | 0 | — | Devin Config |
| geomasterby K-Dense-AI | 100 | 46.4k | 38d ago | SKILL.md |
| gtarsby K-Dense-AI | 100 | 46.4k | 38d ago | SKILL.md |
| phylogeneticsby K-Dense-AI | 100 | 46.4k | 38d ago | SKILL.md |
| pufferlibby K-Dense-AI | 100 | 46.4k | 38d ago | SKILL.md |
Frequently asked questions
- How do I install Rivet?
- Run
npx skills add zhao0524/Rivet. The install tabs above show the steps for each supported agent. - Which AI agents does Rivet work with?
- It is written for Devin, as a Devin Config file. Other agents that read the same format can often use it too.
- Is Rivet safe to use?
- It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is Rivet still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubRESOURCES.md Format
RESOURCES.md is the curated set of trusted sources for this topic. Knowledge for explainers should be drawn from here, not from parametric guesses. Wisdom comes from the communities listed here.
Structure
# {Topic} Resources
## Knowledge
- [Book: _The Science and Practice of Strength Training_ by Zatsiorsky & Kraemer](https://example.com)
Foundational text on programming and adaptation. Use for: anything to do with periodisation, recovery, intensity zones.
- [Article: "How Much Should I Train?" by Greg Nuckols (Stronger By Science)](https://example.com)
Evidence-based review of volume landmarks. Use for: weekly set targets per muscle group.
## Wisdom (Communities)
- [r/weightroom](https://reddit.com/r/weightroom)
High-signal subreddit, moderated against bro-science. Use for: programme critique, plateau troubleshooting.
- Local: Tuesday strength class at {gym name}
Use for: real-time coaching feedback on lifts.
Rules
- High-trust only. Prefer primary sources, recognised experts, peer-reviewed work, and communities with strong moderation. If a resource is marketing dressed as education, leave it out.
- Annotate every entry. A bare link is useless in three months. Add one line: what it covers and when to reach for it.
- Group by Knowledge / Wisdom. Mirrors the philosophy in SKILL.md. It is fine for a resource to appear in only one group.
- Surface gaps explicitly. If no good resource exists for an area the mission needs, write a
## Gapssection listing what is missing. This drives future search. - Prune ruthlessly. A resource that turned out to be wrong, shallow, or off-mission should be removed, not buried. Better five sharp sources than thirty mediocre ones.
- Record community preferences. If the user has opted out of joining communities, note it here so future sessions don't keep proposing them.
Related Skills
geomaster
46.4kSupports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation
gtars
46.4kSupports Gtars for local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and the CLI.
phylogenetics
46.4kBuilds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization.
pufferlib
46.4kVersion-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review. Covers the native 5.0 build and environment API, published 3.0.0 Gymnasium/PettingZoo adaptation, and a pinned historical 4.0 profile.
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
