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revid-api-foundationsrevid API foundations 文档

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:revid-api-foundations(revid API foundations 文档)
来源仓库:https://github.com/api00/revid-api-foundations
安装命令:
openclaw skills install revid-api-foundations
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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openclaw skills install revid-api-foundations

简介

Revid技能通用规范文档,定义身份验证与响应信封标准。

  • 适用于API集成、Webhook配置与工作流鉴别器设计场景。
  • 提供轮询机制与错误处理模板,确保服务间通信一致性。
  • 安装命令:openclaw skills install revid-api-foundations,需加载配置schema。
  • 注意版本兼容性,避免新旧接口混用导致数据解析失败。

SKILL.md

name
revid-api-foundations
description
Foundation knowledge for every Revid skill — auth, the single render endpoint, the workflow discriminator, polling, webhooks, and the response envelope. Load this once at session start; specific skills build on it.
metadata
{"openclaw":{"requires":{"config":["REVID_API_KEY"]}}}

Revid API foundations

Everything every other skill in this library depends on. Read this once.

When to use

Always — but transparently. Other skills assume the agent already knows:

  • how to authenticate
  • which endpoint to hit
  • how to wait for the result
  • the response envelope shape

The shape of every Revid call

POST https://www.revid.ai/api/public/v3/render
Header:  key: $REVID_API_KEY
Body:    { "workflow": "<one-of-9>", "source": { … }, … }
   ↓
{ "success": 1, "pid": "p_…" }
   ↓
GET https://www.revid.ai/api/public/v3/status?pid=p_…
   ↓ (poll every 5–8 s)
{ "status": "ready", "videoUrl": "https://cdn.revid.ai/v/…mp4", … }

That's the entire contract. Skills only differ in the body of POST /render.

Auth

key: $REVID_API_KEY

The header is literally named key (not Authorization). If unset, fail with a clear message instead of calling the API.

The 9 workflows

WorkflowUse when input is…
script-to-videoAlready-written script (text).
prompt-to-videoA one-liner idea — the API writes the script.
article-to-videoAny URL with text content (blog/product/news).
avatar-to-videoA script + an avatar image (talking-head).
ad-generatorA product description — AI writes ad hooks.
music-to-videoA music URL + visuals.
motion-transferA reference image animated with motion from a clip.
caption-videoAn existing video that needs captions.
static-background-videoA voiceover over a fixed background.

Pick the workflow that matches the *input shape*, not the *output you want*. The same script-to-video workflow can produce a Reel, a YouTube short, or a LinkedIn square — that's just aspectRatio.

Source mapping

Each workflow expects one of these source.* fields:

WorkflowField
script-to-videosource.text
prompt-to-videosource.prompt (+ optional source.stylePrompt, durationSeconds)
article-to-videosource.url (+ optional source.scrapingPrompt)
ad-generatorsource.prompt (the product description)
avatar-to-videosource.text (script) + top-level avatar.url
music-to-video / caption-video / motion-transfersource.url
static-background-videosource.text + media.backgroundVideo

If you put text in the wrong field, the call fails 422 with a schema error.

Common knobs every skill should set

  1. aspectRatio — pick from the consumer surface:

- Reels / TikTok / Shorts → 9:16 - LinkedIn / Instagram feed → 1:1 - YouTube long-form → 16:9

  1. voice.enabledtrue for narrated content; false for music-only or

caption-only outputs.

  1. captions.enabled — keep true by default. Most short-form watches happen

on mute.

  1. music.enabledtrue for promo / ad / story content; false for

talking-head where the avatar voice should breathe.

  1. render.resolution1080p is the right default. Use 720p for cheap

previews; 4k only when downstream needs it.

  1. media.quality / media.videoModel — start at pro. Bump to ultra /

veo3 / sora2 only when the cost is justified. Mirror the /render body to POST /api/public/v3/calculate-credits first to get a price estimate without spending.

  1. webhookUrl — pass it whenever the caller can receive webhooks. Saves polling

entirely.

Reading the response

Success:

{ "success": 1, "pid": "p_…", "workflow": "…", "endpoint": "…", "docs": {…} }

Failure:

{ "success": 0, "error": "human-readable string" }

Skills should always check success === 1 and fail loudly otherwise.

Polling

After POST /render, poll until status === "ready":

PID="<pid-from-render>"
while :; do
  R=$(curl -fsSL "https://www.revid.ai/api/public/v3/status?pid=$PID" \
        -H "key: $REVID_API_KEY")
  S=$(echo "$R" | jq -r .status)
  case "$S" in
    ready)  echo "$R" | jq .; break ;;
    failed) echo "FAILED: $R"; exit 1 ;;
    *)      sleep 5 ;;
  esac
done

Recommended cadence: poll every 5 s; back off to 8 s once progress > 30. In production prefer setting webhookUrl in the request body and skip polling entirely.

Failure modes

The two most common errors every skill must handle:

  • scrape failed / 403 from source URL — the page is JS-only or blocks

bots. Either pre-scrape it yourself and switch to script-to-video, or pass source.scrapingPrompt with the manual title + body.

  • insufficient_credits — drop media.quality / videoModel / resolution

and retry, or top up with POST /api/public/v3/buy-credit-pack.

See also

  • Full Revid Public API v3 spec: <https://documenter.getpostman.com/view/36975521/2sBXcGEfaB>
  • The other Revid skills in this catalog apply this foundation to specific

content types (article, product page, blog, tweet, PDF, etc.).

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