DART is an open-source C++23 physics engine that simulates the movement and interactions of articulated rigid-body systems for robotics, animation, and machine learning. Researchers and developers use it for kinematics, dynamics, collision handling, constraints, and loading robot models, with C++ and Python interfaces. The catalogue add-ons support workflows built around this engine.
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 skills add dartsim/dart --skill dart-fix-cigit clone --depth 1 https://github.com/dartsim/dartWrote 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/dartsim/dart/dart-fix-ci)<a href="https://agentmods.dev/skills/dartsim/dart/dart-fix-ci"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-fix-ci/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dartsim/dart/dart-fix-ci"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-fix-ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00593 |
| Opus 5.5 | $0.00006 | $0.00237 |
| Sonnet 5.5 | $0.00003 | $0.00119 |
| Haiku 4.5 | $0.00002 | $0.00059 |
Grade A, and why
dart-fix-ci 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 23d 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dart-fix-ci
Use this skill to run the DART dart-fix-ci workflow. The editable workflow
source lives in .claude/commands/; this generated skill is its entrypoint for
Codex and Muse.
Invocation
- Claude Code:
/dart-fix-ci <arguments> - Codex:
$dart-fix-ci <arguments> - Muse:
/dart-fix-ci <arguments>
Treat the text after the skill name, or the user's request when the skill is
loaded on demand, as $ARGUMENTS. When the workflow references $1, $2,
etc., map those to the positional values supplied by the user.
Command Body
Fix CI failure: $ARGUMENTS
Required Reading
@AGENTS.md @docs/onboarding/ci-cd.md @docs/ai/verification.md
Workflow
When the failing claim depends on model/scene structure, simulation, dynamics,
collision/contact/constraints, or GUI/Filament output, use dart-verify-sim to pair
the focused reproduction with assessed, claim-tied visual evidence. Document a
visual exception when graphics support is unavailable or not applicable.
- Identify failing checks:
gh pr checks <PR_NUMBER>orgh run view <RUN_ID>. - Inspect the first real failure:
gh run view <RUN_ID> --log-failed gh run view <RUN_ID> --job <JOB_ID> --log - If a job is still in progress, wait for logs instead of guessing.
- Reproduce locally with the smallest relevant command:
- formatting:
pixi run lint - tests:
pixi run test,pixi run test-py, or another existing focusedpixi run ...test task - coverage: add targeted tests for uncovered changed lines
- formatting:
- Fix the root cause with minimal scope.
- If the failure is infrastructure-only, ask for explicit maintainer/user
approval before rerunning the failed job or running:
gh run rerun <RUN_ID> --failed - Ask for explicit maintainer/user approval before pushing, CI re-triggers, or other GitHub mutations; after approval, push and watch CI until the PR is green.
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.
- 23d ago Changed · +1 lines 07c69863ea20
- 25d ago Changed 3a28860ed244
- 26d ago Changed 71e63036a2be
- 1mo ago Changed · -19 lines · -4 tokens per session e436df0929dc
- 2mo ago Changed · +2 lines f56608411315
- 2mo ago Changed · -1 lines e32a6af0b928
- 2mo ago First seen · 88 lines · 20 tokens per session scan A dae9f9552975
dart-fix-ci is a skill published in the GitHub repository dartsim/dart (1,223 stars, last pushed yesterday), licensed BSD-2-Clause. It adds 16 tokens to every session and 593 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
dart-fix-ci compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dart-fix-cidartsim/dart | Skill | 1.2k | yesterday | BSD-2-Clause | A | 16 | Claude Code |
| evaluating-cosmos-policyOrchestra-Research/AI-Research-SKILLs | Skill | 14k | 27d ago | MIT | A | 51 | Claude Code |
| chinese-git-workflowjnMetaCode/superpowers-zh | Skill | 8.5k | 11d ago | MIT | A | 69 | Claude Code |
| webhook-managementhoangsonww/Claude-Code-Agent-Monitor | Skill | 1.1k | yesterday | MIT | A | 56 | Claude Code, Codex |
| monorepo-managementwshobson/agents | Skill | 42k | yesterday | MIT | C | 54 | Claude Code |
| managing-github-actions-secretsPostHog/posthog-foss | Skill | 728 | yesterday | MIT | A | 67 | Claude Code, Codex |
| deployment-engineerrmyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 77 | Claude Code, Codex |