robium
AGENTS.md93 starsChanged 3 months agoMITView on GitHub
Canonical guidance for Codex, Claude Code, and other coding agents working in this repository. robium ships a native robotics-skills plugin plus its CLI and learning engine. The plugin is knowledge and real reusable examples, not an application framework or invented DSL. Applications live in the sibling robium-ai/robium-apps repository. The site and live-demo orchestrator live in robium-ai/robium-website. Make changes in the repository that owns the output; cross-reference rather than duplicate. These are cloned as siblings inside a robium-ai/robium-workspace parent, beside a…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,843 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository32 other files it gives its agents.
- learnings/AGENTS.mdAGENTS.md
- skills/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- learnings/CLAUDE.mdCLAUDE.md
- skills/CLAUDE.mdCLAUDE.md
- app-publishingSkill
- architectSkill
- cloud-runSkill
- dataSkill
- environmentsSkill
- foxgloveSkill
- gazeboSkill
- gemini-roboticsSkill
- huggingfaceSkill
- integrationSkill
- isaac-labSkill
- isaac-simSkill
- learning-loopSkill
- lerobotSkill
- live-demoSkill
- miningSkill
- mujocoSkill
- navigationSkill
- rerunSkill
- ros2Skill
- runpodSkill
- rviz2Skill
- simulationSkill
- skill-authorSkill
- test-assetsSkill
- testingSkill
- visualizationSkill
The file
We split this AGENTS.md into the rules it gives an agent
4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 39
Prefer the cheapest risk-reducing probe and the first user-visible working slice before polishing infrastructure or optimizing scale.
- Very specific: line 52
Skill authoring: follow skills/AGENTS.md and load skill-author.
- Very specific: line 53
Learning engine: follow learnings/AGENTS.md and load learning-loop.
- Distinctive: line 64
Do not add tests or repeat passing suites without risk, uncertainty, or a user request that justifies them.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md
Canonical guidance for Codex, Claude Code, and other coding agents working in this repository.
Repository purpose
robium ships a native robotics-skills plugin plus its CLI and learning engine. The plugin is knowledge and real reusable examples, not an application framework or invented DSL.
skills/,hooks/,agents/,.codex-plugin/,.claude-plugin/: plugin.cli/: therobium-ainpm package.learnings/,scripts/engine/: evidence capture and skill hardening.docs/: current client/operator guidance and the shipped-work changelog.
Applications live in the sibling robium-ai/robium-apps repository. The site
and live-demo orchestrator live in robium-ai/robium-website. Make changes in
the repository that owns the output; cross-reference rather than duplicate.
These are cloned as siblings inside a robium-ai/robium-workspace parent,
beside a user-owned my-apps/ for applications that are not contributed
upstream. All are independent checkouts, never submodules.
A local website/ or apps/ directory here is an untracked leftover from the
old monorepo holding stale build output. Neither is a source of truth; use the
sibling robium-website/ and robium-apps/ checkouts instead.
Maintainer collaboration
- An explicit, bounded change request authorizes implementation after reading the affected code. Give a short work update, then proceed; do not announce a process classification or ask for the same approval twice.
- For a new application or material architecture change, present one rough direction with meaningful alternatives. Once approved, implement and verify without further conversational gates.
- Pause only when a missing choice materially changes the result, scope must expand, or safety/external authority requires confirmation.
- Prefer the cheapest risk-reducing probe and the first user-visible working slice before polishing infrastructure or optimizing scale.
Modes and ownership
- User workspaces and updates: setup remembers a configurable parent
containing
robium/androbium-apps/. Usenpx robium-ai workspace --jsonto discover it; do not hardcode paths or treat a plugin cache as editable source. Follow workspace update guidance when asked about freshness or updating. Check and apply are separate; personal branches and local changes must remain intact. Quiet checks belong at new-example boundaries, not on every prompt or during maintenance. - Skill authoring: follow
skills/AGENTS.mdand loadskill-author. - Learning engine: follow
learnings/AGENTS.mdand loadlearning-loop. - Application build/QA: work in
robium-apps; hooks capture evidence silently here. Do not interrupt the build to edit skills. - CLI: work under
cli/; publish only from that directory and only with explicit authorization. - Website/demo infrastructure: work in
robium-websiteunder its guidance.
Common checks
Choose checks for the affected behavior; this is a toolbox, not a mandatory suite for every task. Batch coherent edits before the smallest relevant check. Do not add tests or repeat passing suites without risk, uncertainty, or a user request that justifies them. Use browser/computer-use checks only for relevant visual/interaction uncertainty or when requested. Low-risk manual acceptance may be handed to the user with exact steps and an explicit unverified status; never defer evidence needed before safety-critical, destructive, or paid actions.
./scripts/bootstrap.sh
./scripts/check.sh
uv run --with pyyaml --with pytest python -m pytest tests/engineMaintainer credentials live in Doppler (robium/dev) and never in git. Use
doppler run -- <command> only for an explicitly authorized privileged task.
Git and external actions
- External contributors, unattended automation, and unrequested learning
absorption use a branch/PR and human merge for
skills/**. - The maintainer may explicitly authorize direct-to-
mainwork in the current conversation. That exception permits the local commit, not an inferred push, deploy, publish, paid job, or destructive cloud action. - Live skills are intentionally versionless and changelog-free; Git history is their change record. Regenerate the catalog when names or descriptions change, and run the lightweight skill validator after skill edits.
- Preserve unrelated working-tree changes. Never rewrite history or use a destructive reset unless the maintainer explicitly asks.
Tracker
GitHub Issues owns forward work: robium-ai/robium for plugin/CLI/learning
work, robium-ai/robium-apps for applications, and robium-ai/robium-website
for site/orchestrator work. Do not create checked-in TODO lists.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

