Apple Container Test Runner
RustPython/RustPython
Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.
Multi-agent review/refine loop. An agent skill from OpenCyphal/pycyphal.
$ npx skills add OpenCyphal/pycyphal --skill review-loop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenCyphal/pycyphal review-loop --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/OpenCyphal/pycyphal.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/review-loop .claude/skills/review-loop && 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 "review-loop" agent skill from https://github.com/OpenCyphal/pycyphal/tree/master/.claude/skills/review-loop into .claude/skills/review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-loop", 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/OpenCyphal/pycyphal/tree/master/.claude/skills/review-loopType 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 OpenCyphal/pycyphal --skill review-loop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenCyphal/pycyphal review-loop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenCyphal/pycyphal.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/review-loop .agents/skills/review-loop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-loop" agent skill from https://github.com/OpenCyphal/pycyphal/tree/master/.claude/skills/review-loop into .agents/skills/review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-loop", 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 OpenCyphal/pycyphal --skill review-loop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenCyphal/pycyphal review-loop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenCyphal/pycyphal.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/review-loop .cursor/skills/review-loop && 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 "review-loop" agent skill from https://github.com/OpenCyphal/pycyphal/tree/master/.claude/skills/review-loop into .cursor/skills/review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-loop", 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/OpenCyphal/pycyphal.git --path .claude/skills/review-loop--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 OpenCyphal/pycyphal --skill review-loop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenCyphal/pycyphal review-loop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenCyphal/pycyphal.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/review-loop .gemini/skills/review-loop && 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 "review-loop" agent skill from https://github.com/OpenCyphal/pycyphal/tree/master/.claude/skills/review-loop into .gemini/skills/review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-loop", 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 OpenCyphal/pycyphal review-loopInstalls 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 OpenCyphal/pycyphal --skill review-loop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenCyphal/pycyphal.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/review-loop .github/skills/review-loop && 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 "review-loop" agent skill from https://github.com/OpenCyphal/pycyphal/tree/master/.claude/skills/review-loop into .github/skills/review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-loop", 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 OpenCyphal/pycyphal --skill review-loop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenCyphal/pycyphal review-loop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenCyphal/pycyphal.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/review-loop .opencode/skills/review-loop && 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 "review-loop" agent skill from https://github.com/OpenCyphal/pycyphal/tree/master/.claude/skills/review-loop into .opencode/skills/review-loop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-loop", 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.
review-loopMulti-agent review/refine loop. An agent skill from OpenCyphal/pycyphal.
Review Loop is an agent skill from OpenCyphal/pycyphal. Multi-agent review/refine loop. Use after a change or milestone, or when asked to review work: dispatch a fresh-context full-spectrum reviewer plus a dissimilar correctness reviewer, consolidate and fix, add a regression test for every defect, and repeat until a round is clean.
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Project management. It works with Python and Linux. The repository describes itself as: Python implementation of the Cyphal protocol stack. The licence is MIT.
Read from SKILL.md and the folder at commit 34530f6. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Review Loop loads about 817 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 444 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.
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.
The full file from OpenCyphal/pycyphal at commit 34530f6, republished under its MIT licence (© OpenCyphal). 444 words, ~817 tokens.
.claude/skills/review-loop/SKILL.md (or your agent's skills folder).After a change or milestone, or when prompted, dispatch fresh-context review agents at MAXIMUM THINKING EFFORT, then consolidate, fix, and repeat. The goal is adversarial, diverse, independent coverage.
The prompts given to the agents shall be extremely terse, at most a few sentences. Giving excessive detail may constrain their thinking causing the tunnel vision syndrome. They must be given the opportunity to look at the work without bias or prejudice.
Run two reviewers in parallel per round:
An ultrathink Claude agent with the FULL-SPECTRUM remit, in priority order: functional CORRECTNESS and ROBUSTNESS first, then SIMPLIFICATION opportunities, ARCHITECTURAL CLEANLINESS and CODE QUALITY, and POLICY/STYLE compliance with the project's own docs.
Codex running the most advanced model in ultra effort focusing on CORRECTNESS only, to maximize perspective diversity and minimize blind spots.
Review agents must not modify the worktree or run mutating commands. If one needs a mutable environment, it copies the worktree elsewhere.
The tests normally should already be green when the review loop is invoked; re-running them
duplicates work and, for the broad sessions, wastes minutes of compute per round. State this in the
reviewer prompts. Reviewer effort goes instead into adversarial counterexamples for behaviors the
existing tests do NOT cover, executed in a scratch clone. Probes must run under the repo's own test
interpreter (e.g. .nox/tests/bin/python, which mutates nothing) rather than whatever is on PATH:
a version-skewed interpreter or dependency set can produce findings that do not apply to the project
or miss ones that do. Reproducing their own findings before reporting remains mandatory.
When all reviewers return, merge their findings, discard the noise, and fix what is real. For every correctness defect, add a regression test verified to fail before the fix and pass after.
A round is clean when the reviewers surface only trivial feedback or none; the first clean round ends the loop. Do not chase literal zero feedback: with no real issues left, agents degrade into nitpicking, so a round is clean as soon as significant findings cease.
High-effort agents can go silent for a long time — set generous timeouts and do not assume a quiet agent is stuck. Have agents background long-running commands (tests especially); blocking on a foreground command is a common cause of stream-idle timeouts.
Some headless agents hang waiting on stdin (like Codex) — redirect from /dev/null.
Retry agents that fail on a transient or connection error until they succeed. If an agent gets stuck or hits a security guardrail, try resuming it first instead of restarting its work from scratch.
© OpenCyphal, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/review-loop of OpenCyphal/pycyphal.
Open the folder on GitHubat commit 34530f6
Review Loop 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 |
|---|---|---|---|---|---|---|
| Review Loop this skillOpenCyphal/pycyphal | 142 | — | ~817 | Automated safety check: Pass | MIT | |
| Apple Container Test RunnerRustPython/RustPython | 22k | — | ~467 | Automated safety check: Pass | MIT | |
| Cross Platform Pathsmicrosoft/vscode-python-environments | 141 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Xhs Auto PublisherDjangoPeng/agentic-ai | 152 | — | ~570 | Automated safety check: Pass | MIT | |
| CCC Dashboard Runtime Testingamirfish1/claude-command-center | 177 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Verify Changes389ds/389-ds-base | 294 | — | ~1.9k | Automated safety check: Pass | Custom licence |
RustPython/RustPython
Runs RustPython tests inside a Linux container built with Apple's container CLI, so macOS users can compare Linux results with their local ones.
microsoft/vscode-python-environments
Critical patterns for cross-platform path handling in this VS Code extension.
DjangoPeng/agentic-ai
面向云服务器的小红书图文自动发布 Skill。适用于需要在 Linux 云服务器上,通过 Playwright/CDP、二维码人工接管、登录缓存、龙虾代发飞书群图片消息、截图留痕与审计日志来完成小红书草稿或发布流程的场景。
amirfish1/claude-command-center
Covers bringing up and runtime-testing the claude-command-center dashboard server on Linux, including duplicate instances and fresh-install checks.
389ds/389-ds-base
Verify a 389-ds-base change by routing through the environment's build/test skill — static Python gates plus, via that skill, C compile, cmocka, RPM build and pytest suites, cargo tests, and the…
wcygan/dotfiles
Protect macOS, Ubuntu, Fedora, and Linux/WSL compatibility in this dotfiles repository.
OpenCyphal/pycyphal
Keep the Python Cyphal rewrite in wire-visible behavioral parity with the C reference at reference/cy.
OpenCyphal/pycyphal
Prune nonessential comments and docstrings across a codebase.
Multi-agent review/refine loop. An agent skill from OpenCyphal/pycyphal. Review Loop is an agent skill from OpenCyphal/pycyphal. Multi-agent review/refine loop.
Review Loop fits situations like: tasks that involve Project management.
Run `npx skills add OpenCyphal/pycyphal --skill review-loop -a claude-code`. Or copy the skill folder (.claude/skills/review-loop in OpenCyphal/pycyphal) into .claude/skills/review-loop in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenCyphal/pycyphal --skill review-loop -a codex`. Or copy the skill folder (.claude/skills/review-loop in OpenCyphal/pycyphal) into .agents/skills/review-loop in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenCyphal/pycyphal --skill review-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-loop, .gemini/skills/review-loop, .github/skills/review-loop and .opencode/skills/review-loop in your project.
SKILL.md names no scripts, command-line tools or credentials: Review Loop is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Review Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 817 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Review Loop: Apple Container Test Runner (RustPython/RustPython, 22k stars), Cross Platform Paths (microsoft/vscode-python-environments, 141 stars), Xhs Auto Publisher (DjangoPeng/agentic-ai, 152 stars) and CCC Dashboard Runtime Testing (amirfish1/claude-command-center, 177 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenCyphal (a GitHub organization) maintains it in OpenCyphal/pycyphal, which has 142 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on July 24, 2026.
Source: OpenCyphal/pycyphal on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.