A workflow for reviewing automated pull requests that update dependencies or maintenance files. Dependencies are external libraries and tools a project relies on.

Use it to list dependency-bot pull requests, inspect their changes, check pinned versions, and recommend whether they should be merged or revised.

It helps separate safe update work from changes that need closer review, while keeping merging behind explicit approval.

How dartsim/dart configures Claude Code

About the project

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.

dartsim/dart · 1,204 stars · on GitHub · dart.readthedocs.io

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/dartsim/dart/main/.agents/skills/dart-deps/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/dartsim/dart

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dartsim/dart/dart-deps/github.svg)](https://agentmods.dev/skills/dartsim/dart/dart-deps)

Your own site

<a href="https://agentmods.dev/skills/dartsim/dart/dart-deps"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-deps/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dartsim/dart/dart-deps"><img src="https://agentmods.dev/badge/skills/dartsim/dart/dart-deps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 543 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00018	$0.00543
Opus 5	$0.00009	$0.00271
Sonnet 5	$0.00004	$0.00109
Haiku 4.5	$0.00002	$0.00054

Measured 2d ago against content hash 2e3d41bbbec7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

dart-deps 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.

.agents/skills/dart-deps/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dart-deps

Use this skill in Codex to run the DART dart-deps 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-deps <arguments>
Codex: $dart-deps <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

Triage and shepherd dependency and bot PRs: $ARGUMENTS

Required Reading

@AGENTS.md @docs/onboarding/ci-cd.md @docs/onboarding/contributing.md

Scope

Handle automated dependency and maintenance PRs: Dependabot GitHub Action version bumps and the scheduled lockfile PRs opened by update_lockfiles.yml. Default to read-only triage; merging any bot PR is an explicit approval gate.

Workflow

List open bot PRs:

gh pr list --repo dartsim/dart --state open \
  --search "author:app/dependabot OR author:app/github-actions" \
  --json number,title,headRefName,author

For each PR, review the diff (gh pr diff <PR_NUMBER>):
- Action bumps: confirm the new ref is a pinned commit SHA and sanity-check the upstream changelog for the bumped version.
- Lockfile PRs: confirm the regenerated lockfile provenance matches the workflow that produced it and that no unrelated content changed.
Confirm CI is green for the PR head: gh pr checks <PR_NUMBER>.
Merge a reviewed, CI-green bot PR only after explicit maintainer/user approval, using the current head SHA and the repository merge method.
Batch-report every triaged PR with its recommendation and status.

Output

Table of open bot PRs with kind (action bump or lockfile), CI state, and recommendation
Diff-review notes per PR
Which PRs were merged after explicit approval and which remain pending

Read the full file on GitHub · 66 lines

Changes

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 Changed 2e3d41bbbec7
7d ago First seen · 66 lines · 18 tokens per session scan A 6987f6c847e4

Subscribe to this mod's changes

dart-deps is a skill published in the GitHub repository dartsim/dart (1,204 stars, last pushed 2d ago), licensed BSD-2-Clause. It adds 18 tokens to every session and 543 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.

Git and workflow Project management computer-animation dynamics kinematics lie-group robotics simulation

mcore-split-pr

Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.

NVIDIA/skills · 25 tokens

shiplog

Recap of everything shipped since the last run - cross-repo PRs, security fixes, star deltas, and X traction, synthesized into a digest article and a ready-to-post shiplog in your voice.

aeonfun/aeon · 46 tokens

llxprt-issue-workflow

Use this skill when asked to address, fix, or work on a GitHub issue in the llxprt-code repository. Covers the complete issue lifecycle - branch setup, gh CLI usage, test-first planning, subagent delegation and review loops, the full verification cycle (including the stepfun-37 smoke test), open code review (ocr), PR…

vybestack/llxprt-code · 87 tokens

dart: Skill for Claude Code