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-manage-pr/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-manage-pr)<a href="https://agentmods.dev/skills/dartsim/dart/dart-manage-pr"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-manage-pr/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-manage-pr"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-manage-pr.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 | $0.00026 | $0.02267 |
| Opus 5 | $0.00013 | $0.01133 |
| Sonnet 5 | $0.00005 | $0.00453 |
| Haiku 4.5 | $0.00003 | $0.00227 |
Grade A, and why
dart-manage-pr 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 3d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dart-manage-pr
Use this skill in Codex to run the DART dart-manage-pr 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-manage-pr <arguments> - Codex:
$dart-manage-pr <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
Manage an open DART pull request after explicit maintainer/user approval for mutations: $ARGUMENTS
Required Reading
@AGENTS.md @docs/onboarding/contributing.md @docs/onboarding/ci-cd.md @docs/onboarding/testing.md @docs/onboarding/ai-reviews.md
Modes
mode=manage(default): run the full PR-management loop below to the next terminal state.mode=merge: maintainer-only. Complete the local pre-merge validation in step 6 and merge a ready PR only after explicit maintainer/user approval for the merge.
Invocation Contract
When the user says manage <PR> or continue managing <PR> without limiting
the request to status-only, treat that as approval to run the full
PR-management loop to the next terminal state:
- required policy metadata checked and corrected when stale;
- CI monitored until green, failed, or blocked;
- merge conflicts reproduced and resolved locally;
- review comments addressed, pushed, resolved, and re-reviewed when appropriate;
- PR body/testing evidence refreshed when it no longer matches the branch.
This explicit approval covers routine PR-maintenance mutations for that loop: additive fix commits and pushes, PR description/metadata corrections, resolving already-addressed review threads, rerunning failed CI jobs, and requesting a fresh AI review after follow-up fixes. It does not cover merging the PR into the target branch, force-pushes, branch deletion, PR closure, base-branch changes, or human reviewer requests; ask separately for those.
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.
- 3d ago Changed · +6 lines 87495bdb5b53
- 6d ago Changed 790111d68b69
- 8d ago First seen · 206 lines · 26 tokens per session scan A 6ba4a5742938
dart-manage-pr is a skill published in the GitHub repository dartsim/dart (1,204 stars, last pushed 3d ago), licensed BSD-2-Clause. It adds 26 tokens to every session and 2,267 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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