Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
硅基流动(SiliconFlow)云服务平台文档。用于大语言模型 API 调用、图片生成、向量模型、在 Claude Code 中使用硅基流动、Chat Completions API、Stream 模式等。
$ npx skills add wwwzhouhui/skills_collection --skill siliconflow-api-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wwwzhouhui/skills_collection siliconflow-api-skills --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/wwwzhouhui/skills_collection.git skills-src && mkdir -p .claude/skills && cp -r skills-src/siliconflow-api-skills .claude/skills/siliconflow-api-skills && 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 "siliconflow-api-skills" agent skill from https://github.com/wwwzhouhui/skills_collection/tree/main/siliconflow-api-skills into .claude/skills/siliconflow-api-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siliconflow-api-skills", 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/wwwzhouhui/skills_collection/tree/main/siliconflow-api-skillsType 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 wwwzhouhui/skills_collection --skill siliconflow-api-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wwwzhouhui/skills_collection siliconflow-api-skills --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wwwzhouhui/skills_collection.git skills-src && mkdir -p .agents/skills && cp -r skills-src/siliconflow-api-skills .agents/skills/siliconflow-api-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "siliconflow-api-skills" agent skill from https://github.com/wwwzhouhui/skills_collection/tree/main/siliconflow-api-skills into .agents/skills/siliconflow-api-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siliconflow-api-skills", 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 wwwzhouhui/skills_collection --skill siliconflow-api-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wwwzhouhui/skills_collection siliconflow-api-skills --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wwwzhouhui/skills_collection.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/siliconflow-api-skills .cursor/skills/siliconflow-api-skills && 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 "siliconflow-api-skills" agent skill from https://github.com/wwwzhouhui/skills_collection/tree/main/siliconflow-api-skills into .cursor/skills/siliconflow-api-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siliconflow-api-skills", 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/wwwzhouhui/skills_collection.git --path siliconflow-api-skills--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 wwwzhouhui/skills_collection --skill siliconflow-api-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wwwzhouhui/skills_collection siliconflow-api-skills --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wwwzhouhui/skills_collection.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/siliconflow-api-skills .gemini/skills/siliconflow-api-skills && 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 "siliconflow-api-skills" agent skill from https://github.com/wwwzhouhui/skills_collection/tree/main/siliconflow-api-skills into .gemini/skills/siliconflow-api-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siliconflow-api-skills", 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 wwwzhouhui/skills_collection siliconflow-api-skillsInstalls 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 wwwzhouhui/skills_collection --skill siliconflow-api-skills -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wwwzhouhui/skills_collection.git skills-src && mkdir -p .github/skills && cp -r skills-src/siliconflow-api-skills .github/skills/siliconflow-api-skills && 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 "siliconflow-api-skills" agent skill from https://github.com/wwwzhouhui/skills_collection/tree/main/siliconflow-api-skills into .github/skills/siliconflow-api-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siliconflow-api-skills", 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 wwwzhouhui/skills_collection --skill siliconflow-api-skills -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wwwzhouhui/skills_collection siliconflow-api-skills --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wwwzhouhui/skills_collection.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/siliconflow-api-skills .opencode/skills/siliconflow-api-skills && 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 "siliconflow-api-skills" agent skill from https://github.com/wwwzhouhui/skills_collection/tree/main/siliconflow-api-skills into .opencode/skills/siliconflow-api-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "siliconflow-api-skills", 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.
siliconflow-api-skills硅基流动(SiliconFlow)云服务平台文档。用于大语言模型 API 调用、图片生成、向量模型、在 Claude Code 中使用硅基流动、Chat Completions API、Stream 模式等。
Siliconflow API Skills is an agent skill from wwwzhouhui/skills_collection. 硅基流动(SiliconFlow)云服务平台文档。用于大语言模型 API 调用、图片生成、向量模型、在 Claude Code 中使用硅基流动、Chat Completions API、Stream 模式等。
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `references/api_reference.md`, `references/deployment.md` and `references/faqs.md`).
It sits in AI & LLM Engineering, covering LLM API integration. The repository describes itself as: 本项目是个人开发的 Claude Code Skills 集合,提供实用的技能工具,助力提升开发效率和内容创作。 分享一些好用的 Claude Code Skills,自用、学习两相宜,适用于 Claude Code v2.0 及以上版本。
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b98f166. 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.
Siliconflow API Skills loads about 593 tokens when it runs, and up to ~401k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 265 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 265 words (~593 tokens).
“Comprehensive assistance with SiliconFlow API development, generated from official documentation.”
SKILL.md and 11 other files (references) in siliconflow-api-skills of wwwzhouhui/skills_collection.
Open the folder on GitHubat commit b98f166
Siliconflow API Skills 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 |
|---|---|---|---|---|---|---|
| Siliconflow API Skills this skillwwwzhouhui/skills_collection | 283 | — | ~593 | Automated safety check: Pass | None | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~833 | Automated safety check: Pass | Apache-2.0 | |
| Agnes Free Textkangarooking/agnes-free-model-skills | 199 | — | ~630 | Automated safety check: Pass | MIT | |
| Openai Docstheowenyoung/home | 115 | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| AIbutterbase-ai/butterbase-skills | 534 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Openagents APIOpenAgentsInc/openagents | 455 | — | ~430 | Automated safety check: Pass | Apache-2.0 |
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
kangarooking/agnes-free-model-skills
Call the free Agnes text model API for chat completions, streaming answers, coding help, tool-calling experiments, and OpenAI-compatible text generation.
theowenyoung/home
A skill your agent uses for Codex models/pricing, scheduled tasks, skills, settings, setup, troubleshooting, customization, automations, and self-knowledge—including 'you,' 'your,' 'this app,' or…
butterbase-ai/butterbase-skills
A skill your agent uses when calling the app's AI gateway from agent tools — chat completions, embeddings, listing models, configuring defaults or BYOK, reading token/cost usage
OpenAgentsInc/openagents
Call the OpenAgents API (Open Responses and Chat Completions, many models, one key) and read its docs.
iusztinpaul/designing-real-world-ai-agents-workshop
Building chat interfaces in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.
wwwzhouhui/skills_collection
深度解析链接/文档/代码,生成导师级教学笔记 + Wan 2.7 知识海报. An agent skill from wwwzhouhui/skills_collection.
wwwzhouhui/skills_collection
视觉从代码生长的技术讲解视频工厂:给一个主题,产出一条"图解动画 + AI 配音"的 MP4——结构图/矩阵/连线拓扑/图表/数字滚动全部用 Remotion + React/SVG 代码精确绘制(不用 AI 视频模型,杜绝公式乱码与连线漂移,可参数化、改数据自动重排),旁白由 TTS 逐段生成 + ffprobe 实测时长(默认 edge-tts 神经音色;--engine clone…
wwwzhouhui/skills_collection
口播文字稿一键成片:TTS 配音(edge-tts,带逐句/逐词时间戳)→ HTML 动画合成(场景由时间戳驱动,画面跟着声音走)→ Playwright 逐帧确定性渲染合成 MP4。Use whenever the user wants to 把口播稿/文字稿/文案/文章做成视频、配音视频、解说视频、知识类短视频、口播视频、文字转视频、TTS video、voice-over…
wwwzhouhui/skills_collection
把一篇技术长文/论文解读自动做成章节式解说视频(1080p, 5-8 分钟)。双主题:warm(奶油底+珊瑚红+cozy-handdrawn 透明插图,亲和感)和 midnight(深蓝黑底+琥珀金+宋体标题+executive-tech 插图,AI 科技感),storyboard 一个 theme 字段切换。每章三种 layout 混排:illustration(左文右图+Ken…
wwwzhouhui/skills_collection
把单个学科概念(中文/英文都行,如"声现象""杠杆原理""光合作用")自动做成动态教学内容。两种产出都由 HyperFrames 渲染、共用同一个 index.html(mode 变量切换):① 配音教学视频 — 分镜 + Minimax / Edge TTS 中文配音 + 字幕 + 完整 MP4(1080p, ~90s, 发视频号/给孩子看);② 无声循环动图 — 同一内容的紧凑无声版…
wwwzhouhui/skills_collection
Checking and provisioning the machine's environment for the video-agent-kit plugin — probing for ffmpeg/ffprobe that actually carry the encoders and filters we render with (libx264/aac/libmp3lame…
Categories
硅基流动(SiliconFlow)云服务平台文档。用于大语言模型 API 调用、图片生成、向量模型、在 Claude Code 中使用硅基流动、Chat Completions API、Stream 模式等。. Siliconflow API Skills is an agent skill from wwwzhouhui/skills_collection.
Siliconflow API Skills fits situations like: tasks that involve LLM API integration.
Run `npx skills add wwwzhouhui/skills_collection --skill siliconflow-api-skills -a claude-code`. Or copy the skill folder (siliconflow-api-skills in wwwzhouhui/skills_collection) into .claude/skills/siliconflow-api-skills in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wwwzhouhui/skills_collection --skill siliconflow-api-skills -a codex`. Or copy the skill folder (siliconflow-api-skills in wwwzhouhui/skills_collection) into .agents/skills/siliconflow-api-skills 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 wwwzhouhui/skills_collection --skill siliconflow-api-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/siliconflow-api-skills, .gemini/skills/siliconflow-api-skills, .github/skills/siliconflow-api-skills and .opencode/skills/siliconflow-api-skills in your project.
SKILL.md names no scripts, command-line tools or credentials: Siliconflow API Skills 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.
No licence was found for Siliconflow API Skills or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 593 tokens (SKILL.md is roughly 2.4k 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 401k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Siliconflow API Skills: Dingo Verify (MigoXLab/dingo, 757 stars), Agnes Free Text (kangarooking/agnes-free-model-skills, 199 stars), Openai Docs (theowenyoung/home, 115 stars) and AI (butterbase-ai/butterbase-skills, 534 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
wwwzhouhui (a GitHub user) maintains it in wwwzhouhui/skills_collection, which has 283 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.
Source: wwwzhouhui/skills_collection on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.