Bump Deps
ayutaz/piper-plus
ORT / openjtalk / ruff のような cross-runtime に canonical sync が必要な依存関係を 1 コマンドで bump する read-mostly skill。
Lints and formats C++ and Python code in the ONNX Runtime repository with lintrunner, clang-format and ruff, preferring a pass over only the changed files.
Install ONNX Runtime Lint
$ npx skills add microsoft/onnxruntime --skill ort-lint -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/onnxruntime ort-lint --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/ort-lint .claude/skills/ort-lint && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ort-lint" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-lint into .claude/skills/ort-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-lint", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-lintType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microsoft/onnxruntime --skill ort-lint -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/onnxruntime ort-lint --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/ort-lint .agents/skills/ort-lint && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ort-lint" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-lint into .agents/skills/ort-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-lint", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/onnxruntime --skill ort-lint -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/onnxruntime ort-lint --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/ort-lint .cursor/skills/ort-lint && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ort-lint" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-lint into .cursor/skills/ort-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-lint", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microsoft/onnxruntime.git --path .github/skills/ort-lint--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microsoft/onnxruntime --skill ort-lint -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/onnxruntime ort-lint --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/ort-lint .gemini/skills/ort-lint && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ort-lint" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-lint into .gemini/skills/ort-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-lint", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microsoft/onnxruntime ort-lintInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microsoft/onnxruntime --skill ort-lint -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/ort-lint .github/skills/ort-lint && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ort-lint" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-lint into .github/skills/ort-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-lint", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/onnxruntime --skill ort-lint -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/onnxruntime ort-lint --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/ort-lint .opencode/skills/ort-lint && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ort-lint" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-lint into .opencode/skills/ort-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-lint", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ort-lint- GitHub stars
- 22k
- Token cost
- ~392 tokens
- SKILL.md length
- 111 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
Lints and formats C++ and Python code in the ONNX Runtime repository with lintrunner, clang-format and ruff, preferring a pass over only the changed files.
- Formatting C++ or Python changes before opening an ONNX Runtime pull request
- SKILL.md covers Setup (one-time), Commands, Style rules and Agent tips
- Calls pip
- Checking code style across the whole ONNX Runtime tree
What it does
ONNX Runtime uses lintrunner for both C++ (through clang-format) and Python (through ruff). Setup happens once: `pip install -r requirements-lintrunner.txt`, then `lintrunner init`. The everyday command is `lintrunner -a`, which auto-fixes the changed files; adding `--all-files` sweeps the whole tree, and specific file paths can be listed instead.
The style rules are spelled out. C++ follows Google C++ Style with modifications described in `docs/Coding_Conventions_and_Standards.md`, with a 120-character limit and an aim of 80, configured in `.clang-format` and `.clang-tidy`. Python follows the Google Python Style Guide, an extension of PEP 8, also capped at 120 characters and configured in `pyproject.toml`. For the agent: activate a Python virtual environment before installing, set up lintrunner first if it is missing, and use the changed-files form unless you ask for a full sweep.
When your agent uses it
- Formatting C++ or Python changes before opening an ONNX Runtime pull request
- Checking code style across the whole ONNX Runtime tree
- Setting up lintrunner in a fresh ONNX Runtime checkout
Example prompts
- “Lint and auto-fix the files I changed in onnxruntime.”
- “Run lintrunner on all files and summarize what it changed.”
- “What line length and style should my new C++ operator follow?”
Requirements
- A checkout of the ONNX Runtime repository
- Python with pip and a virtual environment
- `lintrunner` installed from `requirements-lintrunner.txt`
What it can do on your machine
Read from SKILL.md and the folder at commit 8420709. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
ONNX Runtime Lint loads about 392 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 111 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from microsoft/onnxruntime at commit 8420709, republished under its MIT licence (© microsoft). 111 words, ~392 tokens.
Download SKILL.mdSave it as
.claude/skills/ort-lint/SKILL.md (or your agent's skills folder).- name
- ort-lint
- description
- Lint and format ONNX Runtime code. Use this skill when asked to lint, format, or check code style for C++ or Python files in ONNX Runtime.
Linting and Formatting ONNX Runtime Code
ONNX Runtime uses lintrunner for both C++ (clang-format) and Python (ruff).
Setup (one-time)
pip install -r requirements-lintrunner.txt
lintrunner initCommands
lintrunner -a # auto-fix changed files
lintrunner -a --all-files # auto-fix all files
lintrunner -a path/to/file.py path/to/other_file.cc # auto-fix specific files
lintrunner f --all-files # format Python files only
lintrunner # check without fixing (dry run)Style rules
C++
- Google C++ Style with modifications (see
docs/Coding_Conventions_and_Standards.mdfor full details) - Max line length: 120 characters, but aim for 80 when possible
- Configured in
.clang-formatand.clang-tidy
Python
- Google Python Style Guide (extension of PEP 8)
- Max line length: 120 characters
- Configured in
pyproject.toml
Agent tips
- Activate a Python virtual environment before installing dependencies. See "Python > Virtual environment" in
AGENTS.md. - If lintrunner is not yet set up, install and initialize first (see Setup).
- Prefer
lintrunner -a(changed files only) over--all-filesunless the user asks for a full sweep.
© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .github/skills/ort-lint of microsoft/onnxruntime.
Open the folder on GitHubat commit 8420709
Compare with similar skills
ONNX Runtime Lint next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| ONNX Runtime Lint this skillmicrosoft/onnxruntime | 22k | — | ~392 | Automated safety check: Pass | MIT | |
| Bump Depsayutaz/piper-plus | 218 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Align Recipe pyproject.tomlgoogle/adk-recipes | 10k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Cb Code QualityBlkLeg/CircuitBreaker | 201 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Code Qualitynotque/vexjoy-agent | 435 | — | ~1.5k | Automated safety check: Notes | MIT | |
| Tilelang Reviewtile-ai/tilelang-ascend | 400 | — | ~2.8k | Automated safety check: Notes | MIT |
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Cb Code Quality
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Circuit Breaker code conventions and the quality gates that actually block a push — ruff, mypy, eslint, the pytest coverage ratchet, and the make verify tiers.
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Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
Tilelang Review
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More from microsoft/onnxruntime
All 14 skills in this repo- Official
ONNX Runtime Shape Inference Safety Audit
microsoft/onnxruntime
Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs.
- Official
CUTLASS FMHA Incremental Rebuild
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Explains why editing CUTLASS fused-MHA headers in ONNX Runtime can leave stale CUDA kernels after an incremental build, and how to force and verify a real rebuild.
- Official
ONNX Runtime Source Build
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Builds ONNX Runtime from source with its build scripts, explaining the update, build and test phases, key flags and where the build output lands.
- Official
ONNX Runtime CI Management
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Triggers, re-runs and unblocks the CI checks on an ONNX Runtime pull request, after diagnosing whether a failure is transient or needs a code change.
- Official
ONNX Runtime Release Notes
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Drafts ONNX Runtime release notes from commit history and contributor metadata using named presets for the full runtime or a scoped component.
- Official
ONNX Runtime Test Runner
microsoft/onnxruntime
Runs and debugs ONNX Runtime tests: Google Test executables for C++ and unittest or pytest for Python, with filters and build-directory guidance.
Related
Categories
Questions about ONNX Runtime Lint
What does ONNX Runtime Lint do?
Lints and formats C++ and Python code in the ONNX Runtime repository with lintrunner, clang-format and ruff, preferring a pass over only the changed files. ONNX Runtime uses lintrunner for both C++ (through clang-format) and Python (through ruff).txt`, then `lintrunner init`.
When should I use ONNX Runtime Lint?
ONNX Runtime Lint fits situations like: formatting C++ or Python changes before opening an ONNX Runtime pull request; checking code style across the whole ONNX Runtime tree; setting up lintrunner in a fresh ONNX Runtime checkout.
How do I install ONNX Runtime Lint in Claude Code?
Run `npx skills add microsoft/onnxruntime --skill ort-lint -a claude-code`. Or copy the skill folder (.github/skills/ort-lint in microsoft/onnxruntime) into .claude/skills/ort-lint in your project. Claude Code loads it when a task matches its description.
How do I install ONNX Runtime Lint in Codex?
Run `npx skills add microsoft/onnxruntime --skill ort-lint -a codex`. Or copy the skill folder (.github/skills/ort-lint in microsoft/onnxruntime) into .agents/skills/ort-lint in your project. Codex loads it when a task matches its description.
Can I use ONNX Runtime Lint in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/onnxruntime --skill ort-lint -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ort-lint, .gemini/skills/ort-lint, .github/skills/ort-lint and .opencode/skills/ort-lint in your project.
What does ONNX Runtime Lint need to run?
Going by SKILL.md and its folder, ONNX Runtime Lint needs the command-line tools its instructions call (pip). Our summary lists: A checkout of the ONNX Runtime repository; Python with pip and a virtual environment; `lintrunner` installed from `requirements-lintrunner.txt`.
Does ONNX Runtime Lint access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is ONNX Runtime Lint safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does ONNX Runtime Lint use?
ONNX Runtime Lint is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does ONNX Runtime Lint use?
About 392 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to ONNX Runtime Lint?
Skills that share tags, products or a category with ONNX Runtime Lint: Bump Deps (ayutaz/piper-plus, 218 stars), Align Recipe pyproject.toml (google/adk-recipes, 10k stars), Cb Code Quality (BlkLeg/CircuitBreaker, 201 stars) and Code Quality (notque/vexjoy-agent, 435 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains ONNX Runtime Lint?
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/onnxruntime, which has 22,029 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 7, 2026.
Source: microsoft/onnxruntime on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.