Quota Axi
kunchenguid/quota-axi
Report local Claude, Codex, Cursor, GitHub Copilot, Grok, Kimi, Z.AI, Alibaba, OpenCode Go, Antigravity, Command Code, MiniMax, MiMo, DeepSeek, OpenRouter, ElevenLabs, Devin, Muse, and Higgsfield…
Prefer the hosting AI Agent to write narration into input.txt from crawl JSON (no external LLM).
Install Caption Generator
$ npx skills add szhshp/panda-video-generator --skill caption-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install szhshp/panda-video-generator caption-generator --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/caption-generator .claude/skills/caption-generator && 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 "caption-generator" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/caption-generator into .claude/skills/caption-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caption-generator", 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/caption-generatorType 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 caption-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install szhshp/panda-video-generator caption-generator --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/caption-generator .agents/skills/caption-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "caption-generator" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/caption-generator into .agents/skills/caption-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caption-generator", 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 caption-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install szhshp/panda-video-generator caption-generator --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/caption-generator .cursor/skills/caption-generator && 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 "caption-generator" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/caption-generator into .cursor/skills/caption-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caption-generator", 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/caption-generator--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 caption-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install szhshp/panda-video-generator caption-generator --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/caption-generator .gemini/skills/caption-generator && 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 "caption-generator" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/caption-generator into .gemini/skills/caption-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caption-generator", 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 caption-generatorInstalls 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 caption-generator -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/caption-generator .github/skills/caption-generator && 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 "caption-generator" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/caption-generator into .github/skills/caption-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caption-generator", 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 caption-generator -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 caption-generator --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/caption-generator .opencode/skills/caption-generator && 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 "caption-generator" agent skill from https://github.com/szhshp/panda-video-generator/tree/main/.agent/skills/caption-generator into .opencode/skills/caption-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "caption-generator", 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
caption-generator- GitHub stars
- 291
- Token cost
- ~1.5k tokens
- SKILL.md length
- 358 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- None found
At a glance
Prefer the hosting AI Agent to write narration into input.txt from crawl JSON (no external LLM).
- Works in 3 steps: 环境变量 CLI：爬虫 JSON → 口播 + 估算 WebVTT +… → 仅写口播 input.txt（内存对象或 JSON 路径） → 只要口播字符串；或本地把正文变成 WebVTT（不经云端 LLM）
- Tasks that involve Text to speech and voice
- SKILL.md covers Agent 使用优先级（必读）, LLM 提供商（默认 DeepSeek，可选 Kimi）, 1. 环境变量 CLI：爬虫 JSON → 口播 + 估算… and 2. 仅写口播 input.txt（内存对象或 JSON 路径）, plus 1 more section
- Calls pnpm and tsx; reaches api.deepseek.com and api.moonshot.cn; needs DEEPSEEK_API_KEY and MOONSHOT_API_KEY
What it does
Caption Generator is an agent skill from szhshp/panda-video-generator. Prefer the hosting AI Agent to write narration into input.txt from crawl JSON (no external LLM). Fallback only: pnpm caption:env / generateVideoScript (DeepSeek or Kimi) + optional WebVTT estimate. Triggers: 口播, input.txt, captions.vtt, LLMPROVIDER, DEEPSEEK, MOONSHOT, KIMI.
Its SKILL.md is about 1.5k 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, covering Text to speech and voice. It works with Kimi, DeepSeek and 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
- Tasks that involve Text to speech and voice
Example prompts
- “/caption-generator”
Requirements
- A credential in DEEPSEEK_API_KEY
- A credential in MOONSHOT_API_KEY
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- 环境变量 CLI：爬虫 JSON → 口播 + 估算 WebVTT + title.json
- 仅写口播 input.txt（内存对象或 JSON 路径）
- 只要口播字符串；或本地把正文变成 WebVTT（不经云端 LLM）
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:
api.deepseek.comapi.moonshot.cnapi.moonshot.ai
Also links to:
api-docs.deepseek.complatform.moonshot.ai
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_KEYMOONSHOT_API_KEYKIMI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Caption Generator loads about 1.5k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 358 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:24
*；`loadCaptionLlmEnvFromDotenv` 会把仓库根 **`.env`** 里列出的 LLM 键写入 `process.env`，**同名字段以 `.env` 为准**（含 `LLM_PROVIDER`）。不负责爬取。
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 358 words (~1,529 tokens).
“若任务由 AI Agent 执行（Cursor、Claude Code、Copilot、OpenClaw 等），应优先让 Agent 根据爬虫 JSON（或等价的 title / content / answers）自行撰写口播正文，并写入 output/spider/input.txt（或用户配置的 TTS_INPUT_FILE）。不要为此先调用包内 DeepSeek/Kimi 接口，以减少对外部 API、密钥和计费的依赖。”
- name
- caption-generator
Files
Just SKILL.md in .agent/skills/caption-generator of szhshp/panda-video-generator.
Open the folder on GitHubat commit 95ced9b
Compare with similar skills
Caption Generator 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 |
|---|---|---|---|---|---|---|
| Caption Generator this skillszhshp/panda-video-generator | 291 | — | ~1.5k | Automated safety check: Notes | None | |
| Quota Axikunchenguid/quota-axi | 144 | — | ~547 | Automated safety check: Pass | MIT | |
| Video Voiceoverzenstory-ai/oh-story-dsh | 466 | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| BlockrunBlockRunAI/blockrun-mcp | 392 | — | ~2.7k | Automated safety check: Pass | MIT | |
| KrillinAI CLI Operatorkrillinai/OpenCreator | 13k | — | ~869 | Automated safety check: Pass | Apache-2.0 | |
| AI SDK Developmenttrypostit/trypost | 678 | 2 repos | ~3.5k | Automated safety check: Pass | MIT |
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Blockrun
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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.
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More from szhshp/panda-video-generator
Playwright Publish
szhshp/panda-video-generator
Multi-platform browser login and video upload via Playwright Test only (headed Chromium).
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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.
Spider
szhshp/panda-video-generator
Atomic reference for three spider flows: spider:extract:file, spider:extract:url, spider:zhihu — inputs, outputs, env vars only.
Related
Categories
Questions about Caption Generator
What does Caption Generator do?
Prefer the hosting AI Agent to write narration into input.txt from crawl JSON (no external LLM). Caption Generator is an agent skill from szhshp/panda-video-generator.txt from crawl JSON (no external LLM).
When should I use Caption Generator?
Caption Generator fits situations like: tasks that involve Text to speech and voice.
How do I install Caption Generator in Claude Code?
Run `npx skills add szhshp/panda-video-generator --skill caption-generator -a claude-code`. Or copy the skill folder (.agent/skills/caption-generator in szhshp/panda-video-generator) into .claude/skills/caption-generator in your project. Claude Code loads it when a task matches its description.
How do I install Caption Generator in Codex?
Run `npx skills add szhshp/panda-video-generator --skill caption-generator -a codex`. Or copy the skill folder (.agent/skills/caption-generator in szhshp/panda-video-generator) into .agents/skills/caption-generator in your project. Codex loads it when a task matches its description.
Can I use Caption Generator 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 caption-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/caption-generator, .gemini/skills/caption-generator, .github/skills/caption-generator and .opencode/skills/caption-generator in your project.
What does Caption Generator need to run?
Going by SKILL.md and its folder, Caption Generator needs the command-line tools its instructions call (pnpm and tsx) and credentials named DEEPSEEK_API_KEY, MOONSHOT_API_KEY and KIMI_API_KEY. Our summary lists: A credential in DEEPSEEK_API_KEY; A credential in MOONSHOT_API_KEY.
Does Caption Generator access the network?
SKILL.md names 5 domains. In commands or code: api.deepseek.com, api.moonshot.cn and api.moonshot.ai; the agent is likely to contact these when it follows the instructions. As links in the text: api-docs.deepseek.com and platform.moonshot.ai. This is read from the text; nothing was executed.
Is Caption Generator 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 Caption Generator use?
No licence was found for Caption Generator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Caption Generator use?
About 1.5k tokens (SKILL.md is roughly 6.1k 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 Caption Generator?
Skills that share tags, products or a category with Caption Generator: Quota Axi (kunchenguid/quota-axi, 144 stars), Video Voiceover (zenstory-ai/oh-story-dsh, 466 stars), Blockrun (BlockRunAI/blockrun-mcp, 392 stars) and KrillinAI CLI Operator (krillinai/OpenCreator, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Caption Generator?
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.