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documenso-rate-limits文件速率限制

Agent Skill

documenso-rate-limits 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

535

周安装

23

GitHub Stars

2,091

下载量

188
CodexClaudeCursorGemini CLI

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

unknown

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:documenso-rate-limits(文件速率限制)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/documenso-rate-limits
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill documenso-rate-limits
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。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill documenso-rate-limits

简介

该技能解释 Documenso 的公平使用速率限制模型,指导应对 429 错误与队列设计。

  • 适用于所有使用 Documenso SDK 的开发者,特别是免费计划用户需注意文档额度。
  • 提供指数退避重试机制和请求排队建议,保障高并发下服务稳定。
  • 安装前请理解异步处理模式,并在生产环境中实施限流与降级策略。
  • documenso-rate-limits 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Documenso Rate Limits

Overview

Documenso uses a fair-use rate limiting model. There are no published per-minute request quotas -- instead, limits are based on your plan's document allowance and general API fair use. The paid plans (Individual and Team) include unlimited signing and API volume. The free plan has a document limit. If you hit a 429, implement exponential backoff and request queuing.

Prerequisites

  • Documenso SDK installed
  • Understanding of async/await patterns
  • Completed documenso-install-auth setup

Documenso Fair Use Model

PlanDocumentsAPI VolumeSigning Volume
FreeLimited (per plan)Fair useFair use
Individual ($30/mo)UnlimitedUnlimitedUnlimited
TeamUnlimitedUnlimitedUnlimited
EnterpriseUnlimitedUnlimitedUnlimited
Self-HostedUnlimitedNo limitsNo limits

Documenso explicitly does not price API usage -- they want developers to build on the platform without API cost concerns. The practical limit is abusive traffic patterns (thousands of requests per second).

Instructions

Step 1: Exponential Backoff with Jitter

// src/documenso/retry.ts
interface RetryConfig {
  maxRetries: number;
  baseDelayMs: number;
  maxDelayMs: number;
}

const DEFAULTS: RetryConfig = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 60000 };

export async function withRetry<T>(
  fn: () => Promise<T>,
  config: Partial<RetryConfig> = {}
): Promise<T> {
  const { maxRetries, baseDelayMs, maxDelayMs } = { ...DEFAULTS, ...config };
  let lastError: Error | undefined;

  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    try {
      return await fn();
    } catch (err: any) {
      lastError = err;
      const status = err.statusCode ?? err.status;

      // Don't retry client errors (except 429)
      if (status && status >= 400 && status < 500 && status !== 429) {
        throw err;
      }

      if (attempt === maxRetries) break;

      // Exponential backoff with jitter
      const delay = Math.min(baseDelayMs * 2 ** attempt, maxDelayMs);
      const jitter = delay * (0.5 + Math.random() * 0.5);
      console.warn(`Retry ${attempt + 1}/${maxRetries} in ${Math.round(jitter)}ms (status: ${status})`);
      await new Promise((r) => setTimeout(r, jitter));
    }
  }
  throw lastError!;
}

Step 2: Request Queue for Bulk Operations

// src/documenso/queue.ts
import PQueue from "p-queue";

// Limit concurrency to avoid overwhelming the API
const queue = new PQueue({ concurrency: 5, interval: 1000, intervalCap: 10 });

export async function queuedRequest<T>(fn: () => Promise<T>): Promise<T> {
  return queue.add(fn) as Promise<T>;
}

// Usage: bulk document creation
async function createBulkDocuments(
  client: Documenso,
  items: Array<{ title: string; pdfPath: string }>
) {
  const results = await Promise.allSettled(
    items.map((item) =>
      queuedRequest(async () => {
        const doc = await client.documents.createV0({ title: item.title });
        const pdf = readFileSync(item.pdfPath);
        await client.documents.setFileV0(doc.documentId, {
          file: new Blob([pdf], { type: "application/pdf" }),
        });
        return doc;
      })
    )
  );

  const succeeded = results.filter((r) => r.status === "fulfilled").length;
  const failed = results.filter((r) => r.status === "rejected").length;
  console.log(`Bulk create: ${succeeded} succeeded, ${failed} failed`);
  return results;
}

Step 3: Circuit Breaker for Outages

// src/documenso/circuit-breaker.ts
class CircuitBreaker {
  private failures = 0;
  private lastFailure = 0;
  private state: "closed" | "open" | "half-open" = "closed";

  constructor(
    private threshold = 5,         // failures before opening
    private resetTimeMs = 30000    // time before half-open
  ) {}

  async execute<T>(fn: () => Promise<T>): Promise<T> {
    if (this.state === "open") {
      if (Date.now() - this.lastFailure > this.resetTimeMs) {
        this.state = "half-open";
      } else {
        throw new Error("Circuit breaker is open — Documenso API unavailable");
      }
    }

    try {
      const result = await fn();
      this.onSuccess();
      return result;
    } catch (err) {
      this.onFailure();
      throw err;
    }
  }

  private onSuccess() {
    this.failures = 0;
    this.state = "closed";
  }

  private onFailure() {
    this.failures++;
    this.lastFailure = Date.now();
    if (this.failures >= this.threshold) {
      this.state = "open";
      console.error(`Circuit breaker OPEN after ${this.failures} failures`);
    }
  }
}

// Usage
const breaker = new CircuitBreaker();
const doc = await breaker.execute(() => client.documents.findV0({ page: 1, perPage: 10 }));

Step 4: Python Retry

import time, random

def with_retry(fn, max_retries=5, base_delay=1.0):
    for attempt in range(max_retries + 1):
        try:
            return fn()
        except Exception as e:
            status = getattr(e, "status_code", None)
            if status and 400 <= status < 500 and status != 429:
                raise
            if attempt == max_retries:
                raise
            delay = min(base_delay * (2 ** attempt), 60)
            jitter = delay * (0.5 + random.random() * 0.5)
            print(f"Retry {attempt + 1}/{max_retries} in {jitter:.1f}s")
            time.sleep(jitter)

# Usage
docs = with_retry(lambda: client.documents.find_v0(page=1, per_page=10))

Error Handling

ScenarioResponse CodeAction
Rate limited429Exponential backoff with jitter
Server error500/502/503Retry up to 5 times
Documenso outagePersistent 5xxCircuit breaker, degrade gracefully
Auth error401/403Do NOT retry -- fix credentials

Resources

Next Steps

For security configuration, see documenso-security-basics.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.92%
按下载量换算68

Claude

32.15%
按下载量换算60

Cursor

17.49%
按下载量换算33

Gemini CLI

9.76%
按下载量换算18

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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