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/robium-ai/robium/test-assetsnpx skills add robium-ai/robium --skill test-assetsgit clone --depth 1 https://github.com/robium-ai/robiumWrote 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/robium-ai/robium/test-assets)<a href="https://agentmods.dev/skills/robium-ai/robium/test-assets"><img src="https://agentmods.dev/badge/skills/robium-ai/robium/test-assets.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 5.1 | $0.00168 | $0.02911 |
| Opus 5 | $0.00084 | $0.01456 |
| Sonnet 5 | $0.00034 | $0.00582 |
| Haiku 4.5 | $0.00017 | $0.00291 |
Grade A, and why
test-assets 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 2d 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.
This is a copy
92% identical to test-assets — 59 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
test-assets
The test-data umbrella for robium. Every smoke, regression, or policy-eval
test consumes data (a world to load, a robot model to spawn, a dataset slice
to train on, a bag to replay, a golden to diff against), and picking those
assets ad hoc produces unrecognizable, irreproducible fixtures. This skill
owns which canonical assets to test against for a given robot type, the
standard test-assets folder layout with its provenance manifest, and the
sourcing decision (pointer vs vendored). It does not own the test pyramid and
pass bars (testing), training-data sourcing strategy (data), simulator
selection rationale (simulation), or asset loading/spawning mechanics
(gazebo, isaac-sim).
When to use this skill
- Setting up test data for any new robotics project; load together with
testing: that skill decides which pyramid layers to build; this one supplies the data those layers run against. - The trigger phrases in the description: 'test assets', 'test world', 'test fixture', 'download a test dataset', 'sample rosbag', 'which world should I test in', 'golden output', 'regression fixture'.
- Choosing a world, robot model, or sample dataset for a smoke or regression test, including "we should own copies of these" vendoring decisions.
- Standing up a
test-assets/folder (or auditing an existing one) for a repo's apps. - Cross-references: go to the sibling skill instead when the question is:
- Test structure, layers, and pass bars (what to test, when it counts as
done) →
testing. This skill only supplies the data. - Sourcing training data for robot learning (offline vs sim-generated vs
teleop) →
data. Same funnel instinct, different artifact:datafeeds policies, this skill feeds tests. - Which simulator to use at all →
simulation; this skill's matrix names a best-fit simulator per robot type for testing but citessimulationfor the selection rationale. - Loading/spawning mechanics for the chosen assets →
gazeboorisaac-sim; MuJoCo asset usage inside LeRobot environments →lerobot. - Hub download/upload mechanics and auth →
huggingface; the LeRobotDataset format itself →lerobot.
- Test structure, layers, and pass bars (what to test, when it counts as
done) →
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/catalog.yaml 412 B
- examples/worlds/aws-small-house/asset.yaml 944 B
- examples/worlds/aws-small-house/LICENSE 931 B
- examples/worlds/tugbot-warehouse/asset.yaml 778 B
- examples/worlds/tugbot-warehouse/LICENSE 499 B
- references/canonical-assets.md 5.6 KB
- references/test-assets-layout.md 2.7 KB
- scripts/fetch_assets.py 7.5 KB runs code
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.
- 2d ago First seen · 215 lines · 168 tokens per session scan A 7c88735bd84c
test-assets is a skill published in the GitHub repository robium-ai/robium (9 stars, last pushed 8d ago), licensed MIT. It adds 168 tokens to every session and 2,911 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to test-assets, differing in 59 lines, and is treated as a copy.
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