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-backport-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-backport-pr)<a href="https://agentmods.dev/skills/dartsim/dart/dart-backport-pr"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-backport-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-backport-pr"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-backport-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 | $0.00021 | $0.00854 |
| Opus 5 | $0.00010 | $0.00427 |
| Sonnet 5 | $0.00004 | $0.00171 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
dart-backport-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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dart-backport-pr
Use this skill in Codex to run the DART dart-backport-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-backport-pr <arguments> - Codex:
$dart-backport-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
Backport PR or commits: $ARGUMENTS
Required Reading
@AGENTS.md @docs/onboarding/contributing.md @docs/onboarding/release-management.md @docs/onboarding/changelog.md
Workflow
For a source change that depends on 3D structure or behavior, use the target
branch's dart-verify-sim workflow to preserve the text oracle and assessed
visual evidence, or record why the target branch cannot render the claim.
- Verify the source PR or commit is merged to
main:gh pr view <SOURCE_PR> --json state,mergedAt,baseRefName,mergeCommit - Check whether an equivalent change already exists on the release branch:
git fetch origin <RELEASE_BRANCH> main git cherry -v --abbrev=40 origin/<RELEASE_BRANCH> origin/main | grep <COMMIT_HASH> - For AI-infra or workflow-doc backports, compare the release branch capability
inventory and adapter directories against
main. If the release branch has a smaller workflow surface, adapt to the release branch instead of importing main-only workflows. - Create a release branch from the release target without resetting an
existing local branch:
BRANCH=backport/<SOURCE_PR>-to-<RELEASE_BRANCH> if git show-ref --verify --quiet "refs/heads/$BRANCH"; then if [ -n "$(git status --short)" ] || [ "$(git rev-parse "$BRANCH")" \ != "$(git rev-parse "origin/<RELEASE_BRANCH>")" ]; then echo "existing $BRANCH is dirty or diverges from the release tip" >&2 exit 1 # stop and ask before resetting or cherry-picking onto it fi git switch "$BRANCH" else git switch --no-track -c "$BRANCH" origin/<RELEASE_BRANCH> fi - Cherry-pick with provenance:
git cherry-pick -x <COMMIT_HASH>. - Resolve conflicts minimally; stop and ask if conflicts are broad or change behavior.
- Run
/dart-changelog decideor$dart-changelog decideagainst the backport diff and release target before opening the backport PR. If an entry is required but needs the backport PR number, draft the decision and keep the finalize/update follow-up local until explicit approval permits another push. Do not skip the changelog decision just because this is a backport. - Run
pixi run lintand the smallest relevant release-branch checks. - Ask for explicit maintainer/user approval before pushing or opening the PR. After approval, open the PR against the release branch with milestone matching that release branch and use the PR template.
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 d9965453085e
- 6d ago Changed · +13 lines 7106e3daa71f
- 8d ago First seen · 77 lines · 21 tokens per session scan A 4d24c39cfbed
dart-backport-pr is a skill published in the GitHub repository dartsim/dart (1,204 stars, last pushed 3d ago), licensed BSD-2-Clause. It adds 21 tokens to every session and 854 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.
Other skills, from other repositories
release-announcement
Write a release announcement — changelog, blog post, in-app note, or social post — that leads with user impact, names the audience, and includes upgrade/migration steps without filler.
multi-agent-release-manager
Cleans up the workspace, formats code, runs presubmit checks, and uploads CLs to Gerrit.
release-notes
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
pack-submit
Package one of this agent's own skills as a standalone community pack and submit it to the aeon registry as a PR.
updater_guide
Guidance for checking for and installing Row-Bot updates.
nvca-chart-release
Release NVCA Operator chart changes from the native monorepo source to the vendored Helm chart. Use when updating the vendored NVCA Operator chart, changing NVCA image refs, publishing helm-nvca-operator, or validating the chart against a self-managed control plane.