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.
Borrowing it
Nothing to install: this file belongs to dartsim/dart. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dartsim/dart/main/.agents/skills/dart-mechanical-refactor/SKILL.mdgit 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-mechanical-refactor)<a href="https://agentmods.dev/skills/dartsim/dart/dart-mechanical-refactor"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-mechanical-refactor.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.00444 |
| Opus 5 | $0.00010 | $0.00222 |
| Sonnet 5 | $0.00004 | $0.00089 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
dart-mechanical-refactor 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 yesterday.
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.
What it actually says
dart-mechanical-refactor
Use this skill in Codex to run the DART dart-mechanical-refactor workflow. The editable
workflow source lives in .claude/commands/; this file is its generated adapter
in the shared .agents/skills/ catalog.
Invocation
- Claude Code:
/dart-mechanical-refactor <arguments> - Codex:
$dart-mechanical-refactor <arguments>
Treat the text after the skill name as $ARGUMENTS. When the workflow
references $1, $2, etc., map those to the positional values supplied by the
user.
Command Body
Perform mechanical refactor: $ARGUMENTS
Required Reading
@AGENTS.md @CONTRIBUTING.md @docs/onboarding/code-style.md
Workflow
- Define the exact transformation and scope before editing.
- Create a branch from the target branch, usually
origin/main. - Prefer scriptable or automated edits when the transformation is repetitive.
- Keep behavior unchanged; do not mix in feature work or cleanup outside scope.
- If reorganizing files, update CMake, pixi tasks, generated indexes, and docs.
- Run focused checks first, then broader checks according to risk:
pixi run lintpixi run buildpixi run test-unit- the task-type gate set from
docs/ai/verification.md
- Ask for explicit maintainer/user approval before pushing or opening a PR. After approval, open a PR with a clear scope statement and no behavior-change claim unless tested.
Output
- Transformation summary
- Files or areas changed
- Verification run
- Any residual risk
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.
- yesterday Changed 303e4c3d13d5
- 5d ago Changed · -1 lines ab7c127292a7
- 7d ago First seen · 59 lines · 20 tokens per session scan A e739e50122c0
dart-mechanical-refactor is a skill published in the GitHub repository dartsim/dart (1,202 stars, last pushed yesterday), licensed BSD-2-Clause. It adds 20 tokens to every session and 444 once invoked, about $0.0001 per session on Opus 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.
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