KrillinAI CLI Operator
krillinai/OpenCreator
Routes agents to the right KrillinAI command for subtitles, dubbing, video rendering, covers and speech, and explains how to read its JSON and manifest output.
Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only.
Install Spider
$ npx skills add szhshp/panda-video-generator --skill spider -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install szhshp/panda-video-generator spider --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/szhshp/panda-video-generator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agent/skills/spider .claude/skills/spider && 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 "spider" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/spider into .claude/skills/spider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spider", 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/szhshp/panda-video-generator/tree/main/.agent/skills/spiderType 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 szhshp/panda-video-generator --skill spider -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install szhshp/panda-video-generator spider --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agent/skills/spider .agents/skills/spider && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "spider" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/spider into .agents/skills/spider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spider", 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 szhshp/panda-video-generator --skill spider -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install szhshp/panda-video-generator spider --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agent/skills/spider .cursor/skills/spider && 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 "spider" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/spider into .cursor/skills/spider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spider", 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/szhshp/panda-video-generator.git --path .agent/skills/spider--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 szhshp/panda-video-generator --skill spider -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install szhshp/panda-video-generator spider --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agent/skills/spider .gemini/skills/spider && 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 "spider" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/spider into .gemini/skills/spider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spider", 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 szhshp/panda-video-generator spiderInstalls 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 szhshp/panda-video-generator --skill spider -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agent/skills/spider .github/skills/spider && 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 "spider" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/spider into .github/skills/spider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spider", 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 szhshp/panda-video-generator --skill spider -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install szhshp/panda-video-generator spider --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/szhshp/panda-video-generator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agent/skills/spider .opencode/skills/spider && 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 "spider" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/spider into .opencode/skills/spider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "spider", 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
spider- GitHub stars
- 291
- Token cost
- ~888 tokens
- SKILL.md length
- 218 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- None found
At a glance
Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only.
- Works in 3 steps: 本地 UTF-8 文件 → { title, content } JSON → http(s) 页面 URL → { title, content }… → 知乎问题 URL → 结构化 JSON + 口播 + 标题同步
- Media & Creative work in your project
- SKILL.md covers 1. 本地 UTF-8 文件 → { title,…, 2. http(s) 页面 URL → { title,… and 3. 知乎问题 URL → 结构化 JSON + 口播 +…
- Calls pnpm and tsx; reaches zhihu.com; needs DEEPSEEK_API_KEY
What it does
Spider is an agent skill from szhshp/panda-video-generator. Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only.
Its SKILL.md is about 890 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 Media & Creative. It works with pnpm. The repository describes itself as: 熊猫视频自动化引擎: 用程序员的方式帮你自动化视频创作与发布.
When your agent uses it
- Media & Creative work in your project
Example prompts
- “/spider”
Requirements
- A credential in DEEPSEEK_API_KEY
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- 本地 UTF-8 文件 → { title, content } JSON
- http(s) 页面 URL → { title, content } JSON（Puppeteer）
- 知乎问题 URL → 结构化 JSON + 口播 + 标题同步
What it can do on your machine
Read from SKILL.md and the folder at commit 95ced9b. 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:
pnpmtsx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
zhihu.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
DEEPSEEK_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Spider loads about 888 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 218 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:10
根目录**执行（`cwd` 影响相对路径；DeepSeek 相关见仓库根 **`.env`**）。`packages/spider/README.md` 仅为路牌链回本文。 - NoteMentions a .env fileSKILL.md:141
| `DEEPSEEK_API_KEY` | 口播需要 | 环境变量或仓库根 `.env` |
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 218 words (~888 tokens).
“在 monorepo 根目录执行（cwd 影响相对路径；DeepSeek 相关见仓库根 .env）。packages/spider/README.md 仅为路牌链回本文。”
- name
- spider
Files
Just SKILL.md in .agent/skills/spider of szhshp/panda-video-generator.
Open the folder on GitHubat commit 95ced9b
Compare with similar skills
Spider 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 |
|---|---|---|---|---|---|---|
| Spider this skillszhshp/panda-video-generator | 291 | — | ~888 | Automated safety check: Notes | None | |
| KrillinAI CLI Operatorkrillinai/OpenCreator | 13k | — | ~869 | Automated safety check: Pass | Apache-2.0 | |
| Wechat 2D Rendervibe-motion/skills | 1.3k | — | ~773 | Automated safety check: Pass | None | |
| DeerFlow Smoke Testbytedance/deer-flow | 84k | — | ~2.5k | Automated safety check: Notes | MIT | |
| @pierre/diffs Code Renderingpierrecomputer/pierre | 6.3k | 2 repos | ~803 | Automated safety check: Pass | Apache-2.0 | |
| React Router Release Notes Prepremix-run/react-router | 57k | — | ~1.1k | Automated safety check: Pass | MIT |
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DeerFlow Smoke Test
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Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.
@pierre/diffs Code Rendering
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Guides an agent through using @pierre/diffs to render syntax-highlighted files and diffs, and to build editing and review surfaces in React or plain JavaScript.
React Router Release Notes Prep
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Polishes pending React Router change files before the versioning scripts run, and decides whether a long-form What's Changed section is warranted.
Link Workspace Packages
nomcopter/react-mosaic
Link workspace packages in monorepos (npm, yarn, pnpm, bun).
More from szhshp/panda-video-generator
Caption Generator
szhshp/panda-video-generator
Prefer the hosting AI Agent to write narration into input.txt from crawl JSON (no external LLM).
Playwright Publish
szhshp/panda-video-generator
Multi-platform browser login and video upload via Playwright Test only (headed Chromium).
Remotion Render
szhshp/panda-video-generator
Run Remotion renders from monorepo root: pnpm render:video, render:all / pipeline:tts-render, render:composition; sync-to-public, composition IDs, output/video paths, VIDEOPUBLICDIR.
Tts Node
szhshp/panda-video-generator
Atomic reference for @panda-video-generator/tts-node: pnpm tts, cli.ts, processNarrationFile — Edge-TTS narration → audio.mp3 + audio.vtt; env vars TTS, EDGETTS, ffmpeg.
URL To Video Pipeline
szhshp/panda-video-generator
Orchestrates repo pipeline from a single URL: branch Zhihu vs generic page → spider → DeepSeek caption when needed → Edge TTS → Remotion render to output/video/video.mp4.
Related
Works with
Categories
Questions about Spider
What does Spider do?
Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only. Spider is an agent skill from szhshp/panda-video-generator. Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only.
When should I use Spider?
Spider fits situations like: media & Creative work in your project.
How do I install Spider in Claude Code?
Run `npx skills add szhshp/panda-video-generator --skill spider -a claude-code`. Or copy the skill folder (.agent/skills/spider in szhshp/panda-video-generator) into .claude/skills/spider in your project. Claude Code loads it when a task matches its description.
How do I install Spider in Codex?
Run `npx skills add szhshp/panda-video-generator --skill spider -a codex`. Or copy the skill folder (.agent/skills/spider in szhshp/panda-video-generator) into .agents/skills/spider in your project. Codex loads it when a task matches its description.
Can I use Spider 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 szhshp/panda-video-generator --skill spider -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spider, .gemini/skills/spider, .github/skills/spider and .opencode/skills/spider in your project.
What does Spider need to run?
Going by SKILL.md and its folder, Spider needs the command-line tools its instructions call (pnpm and tsx) and credentials named DEEPSEEK_API_KEY. Our summary lists: A credential in DEEPSEEK_API_KEY.
Does Spider access the network?
SKILL.md names 1 domain. In commands or code: zhihu.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Spider safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Spider use?
No licence was found for Spider or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Spider use?
About 888 tokens (SKILL.md is roughly 3.6k 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 Spider?
Skills that share tags, products or a category with Spider: KrillinAI CLI Operator (krillinai/OpenCreator, 13k stars), Wechat 2D Render (vibe-motion/skills, 1.3k stars), DeerFlow Smoke Test (bytedance/deer-flow, 84k stars) and @pierre/diffs Code Rendering (pierrecomputer/pierre, 6.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Spider?
szhshp (a GitHub user) maintains it in szhshp/panda-video-generator, which has 291 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on August 10, 2026.
Source: szhshp/panda-video-generator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.