Qt Cpp Review
Serial-Studio/Serial-Studio
Qt6/C++ deep code review for Serial Studio. An agent skill from Serial-Studio/Serial-Studio.
Code review and validation for CloudBase projects. An agent skill from TencentCloudBase/CloudBase-AI-Toolkit.
$ npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-code-review --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/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/config/source/skills/cloudbase-code-review .claude/skills/cloudbase-code-review && 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 "cloudbase-code-review" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-code-review into .claude/skills/cloudbase-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-code-review", 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/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-code-reviewType 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/config/source/skills/cloudbase-code-review .agents/skills/cloudbase-code-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cloudbase-code-review" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-code-review into .agents/skills/cloudbase-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-code-review", 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/config/source/skills/cloudbase-code-review .cursor/skills/cloudbase-code-review && 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 "cloudbase-code-review" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-code-review into .cursor/skills/cloudbase-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-code-review", 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/TencentCloudBase/CloudBase-AI-Toolkit.git --path config/source/skills/cloudbase-code-review--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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/config/source/skills/cloudbase-code-review .gemini/skills/cloudbase-code-review && 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 "cloudbase-code-review" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-code-review into .gemini/skills/cloudbase-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-code-review", 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 TencentCloudBase/CloudBase-AI-Toolkit cloudbase-code-reviewInstalls 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/config/source/skills/cloudbase-code-review .github/skills/cloudbase-code-review && 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 "cloudbase-code-review" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-code-review into .github/skills/cloudbase-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-code-review", 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TencentCloudBase/CloudBase-AI-Toolkit cloudbase-code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-Toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/config/source/skills/cloudbase-code-review .opencode/skills/cloudbase-code-review && 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 "cloudbase-code-review" agent skill from https://github.com/TencentCloudBase/CloudBase-AI-Toolkit/tree/main/config/source/skills/cloudbase-code-review into .opencode/skills/cloudbase-code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudbase-code-review", 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.
cloudbase-code-reviewCode review and validation for CloudBase projects. An agent skill from TencentCloudBase/CloudBase-AI-Toolkit.
Cloudbase Code Review is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. Code review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls — auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse. Supports automated lint scripts (regex-based) + LLM semantic review.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including reference files (for example `references/RULES_INDEX.md`, `references/lint-rules/README.md` and `references/rules/cross-cutting/AUTH001.md`).
It sits in Development, covering Code review, Serverless and Linting and formatting. It works with WeChat. The repository describes itself as: Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP. The licence is MIT.
Read from SKILL.md and the folder at commit 21af91c. 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.
Shell commands in SKILL.md call:
nodeFrom 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.
Cloudbase Code Review loads about 1.1k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 311 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 TencentCloudBase/CloudBase-AI-Toolkit at commit 21af91c, republished under its MIT licence (© TencentCloudBase). 311 words, ~1,115 tokens.
.claude/skills/cloudbase-code-review/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.
One-liner: After implementing CloudBase features, call this skill to catch common mistakes before users do.
Call this skill after completing a CloudBase implementation task, before declaring done:
The skill runs in two layers:
| Layer | Method | Speed | What it catches |
|---|---|---|---|
| Lint (optional) | No executable script is shipped. If the user approves running lint, review the code block in references/lint-rules/README.md, copy it to a temporary local cloudbase-lint.mjs, then run node cloudbase-lint.mjs --project-dir <path> | Seconds | Deterministic regex checks — wrong API calls, missing configs, pattern mismatches |
| LLM review | Read each rule's "LLM 检查" section, inspect code semantically | Variable | Semantic issues — route guard logic, RLS completeness, architecture-level problems |
See references/RULES_INDEX.md for the full matrix (module × frontend type → applicable rules).
Do not promote a single failed run or case-specific workaround into a hard rule. A rule should be backed by stable SDK/API documentation, repeated failures, or deterministic runtime behavior. Case-specific observations belong in attribution reports; only broadly applicable constraints should enter RULES_INDEX.md or the optional lint checklist.
# Step 1: Read relevant rules for identified modules
# references/rules/cross-cutting/AUTH001.md
# references/rules/cross-cutting/SEC001.md
# references/rules/postgresql/PG-CR001.md
# ...
# Optional: if the user approves running lint, review the script code block in
# references/lint-rules/README.md, copy it to a temporary cloudbase-lint.mjs,
# then run: node cloudbase-lint.mjs --project-dir .
# Step 2: For each applicable rule, read the "LLM 检查" section
# and manually inspect your code before claiming done.Each rule .md file follows this structure:
# RULE-ID Rule Name
- **Module**: which module (auth / postgresql / storage / ...)
- **Severity**: error | warning
- **Stage**: code-generation | deployment | config
## 正则检查 (Lint)
The condition checked by the optional script code block in `references/lint-rules/README.md`.
## LLM 检查
Semantic review prompt for human or LLM to evaluate.
## 修复指引
How to fix the issue.All packaged reference files (required for skill lint reachability):
© TencentCloudBase, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 11 other files (references) in config/source/skills/cloudbase-code-review of TencentCloudBase/CloudBase-AI-Toolkit.
Open the folder on GitHubat commit 21af91c
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in TencentCloudBase/CloudBase-AI-Toolkit, which our catalogue first saw on October 7, 2026.
Cloudbase Code Review 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 |
|---|---|---|---|---|---|---|
| Cloudbase Code Review this skillTencentCloudBase/CloudBase-AI-Toolkit | 1.1k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Qt Cpp ReviewSerial-Studio/Serial-Studio | 7.2k | — | ~4.3k | Automated safety check: Pass | Custom licence | |
| Qt Qml ReviewSerial-Studio/Serial-Studio | 7.2k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Qt6 QML Code Reviewerx-tools-author/x-tools | 1.1k | 1 repos | ~3.6k | Automated safety check: Pass | BSD-3-Clause | |
| Code Reviewnteract/semiotic | 2.7k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Review Loopdidi/mpx | 3.9k | — | ~828 | Automated safety check: Pass | Apache-2.0 |
Serial-Studio/Serial-Studio
Qt6/C++ deep code review for Serial Studio. An agent skill from Serial-Studio/Serial-Studio.
Serial-Studio/Serial-Studio
Qt6/QML deep code review for Serial Studio. An agent skill from Serial-Studio/Serial-Studio.
x-tools-author/x-tools
Runs a 47-rule deterministic QML linter, then six parallel deep-analysis passes over bindings, layout, loaders, delegates, states, and performance.
nteract/semiotic
Review Semiotic pull requests for behavioral bugs, regressions, contract drift, and missing evidence.
didi/mpx
当用户要求评审循环、自评审工作流、planner/reviewer/coder/code-reviewer 协作、先方案后编码、多轮 Agent 评审,或要求稳定的子 Agent 工作流依次产出方案、等待用户确认、实现代码、评审差异并保留修订记录时,使用此 Skill。此 Skill 必须使用真实子 Agent,不得退化为单 Agent 角色扮演。
openqodex/openqodex
Code review for the current change, before it is pushed. An agent skill from openqodex/openqodex.
TencentCloudBase/CloudBase-AI-Toolkit
A skill your agent uses for Node.js backend AI via @cloudbase/node-sdk (=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration.
TencentCloudBase/CloudBase-AI-Toolkit
CloudBase official HTTP API client guide. An agent skill from TencentCloudBase/CloudBase-AI-Toolkit.
TencentCloudBase/CloudBase-AI-Toolkit
Author or revise a cloud-api-operations recipe (config/source/skills/cloud-api-operations/references/recipes/).
TencentCloudBase/CloudBase-AI-Toolkit
Analyze, standardize, validate, and sync locally maintained skills into agent skill directories with a skills CLI-aligned workflow.
TencentCloudBase/CloudBase-AI-Toolkit
Build production-ready AI agent backends using the CloudBase Agent Python SDK — create agents with LangGraph/CrewAI/LlamaIndex, serve them via FastAPI with AG-UI protocol streaming +…
TencentCloudBase/CloudBase-AI-Toolkit
A skill your agent uses when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android…
Works with
Categories
Code review and validation for CloudBase projects. An agent skill from TencentCloudBase/CloudBase-AI-Toolkit. Cloudbase Code Review is an agent skill from TencentCloudBase/CloudBase-AI-Toolkit. Code review and validation for CloudBase projects.
Cloudbase Code Review fits situations like: tasks that involve Code review; tasks that involve Serverless; tasks that involve Linting and formatting.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a claude-code`. Or copy the skill folder (config/source/skills/cloudbase-code-review in TencentCloudBase/CloudBase-AI-Toolkit) into .claude/skills/cloudbase-code-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a codex`. Or copy the skill folder (config/source/skills/cloudbase-code-review in TencentCloudBase/CloudBase-AI-Toolkit) into .agents/skills/cloudbase-code-review 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 TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbase-code-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cloudbase-code-review, .gemini/skills/cloudbase-code-review, .github/skills/cloudbase-code-review and .opencode/skills/cloudbase-code-review in your project.
Going by SKILL.md and its folder, Cloudbase Code Review needs the command-line tools its instructions call (node).
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.
Cloudbase Code Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cloudbase Code Review: Qt Cpp Review (Serial-Studio/Serial-Studio, 7.2k stars), Qt Qml Review (Serial-Studio/Serial-Studio, 7.2k stars), Qt6 QML Code Reviewer (x-tools-author/x-tools, 1.1k stars) and Code Review (nteract/semiotic, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
TencentCloudBase (a GitHub organization) maintains it in TencentCloudBase/CloudBase-AI-Toolkit, which has 1,133 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 7, 2026.
Source: TencentCloudBase/CloudBase-AI-Toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.