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SKILL verified MIT Self-run

Wechat Fastest Growing

skill-zizhanovo-doubaoya-community-wechat-fastest-growing · by zizhanovo

公众号阅读增长榜(黑马账号)· 按日期拉公众号阅读增长率 TOP 榜,帮你发现近期增速最快的黑马账号、判断流量风向。当用户需要公众号黑马账号、阅读增长榜、增长率排行、流量风向、高增长账号、起势账号时使用。触发词:公众号黑马、增长榜、阅读增长、增长率排行、流量风向、黑马账号。

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Install

$ agentstack add skill-zizhanovo-doubaoya-community-wechat-fastest-growing

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

公众号阅读增长榜 · 黑马账号(都爆鸭)

本鸭帮你按日期拉公众号阅读增长率排行——专挑近期增速最猛的「黑马」,让你一眼看到哪些号正在起势、哪个赛道在涨,顺手判断当下的流量风向。

> 数据走 doubaoya.com 一条线,鉴权用你自己的密钥(环境变量 DOUBAOYA_API_KEY,形如 dyh_…)。


适用场景

| 场景 | 怎么用 | 拿到什么 | |------|--------|----------| | 发现黑马 | 拉最新增长榜看谁在猛涨 | 一批高增长账号 | | 流量风向 | 看增长账号集中在哪些赛道 | 当下真实的流量风向 | | 对标起势号 | 找正在起量的号研究打法 | 可迁移的增长策略 | | 每日速览 | 每天扫一遍增长榜 | 当日黑马清单 |


工作流(4 步)

1. 定日期

默认拉昨天的榜(当日数据通常尚未结算)。--date 接受口语化 yesterday / today,也接受具体 YYYY-MM-DD

2. 调用脚本

python3 "$SKILL_PATH/scripts/fetch_growth_rank.py"

指定日期:

python3 "$SKILL_PATH/scripts/fetch_growth_rank.py" --date 2026-06-25

若某天没数据,加 --auto-back 让脚本自动向前逐天追溯(最多 7 天),找到即停:

python3 "$SKILL_PATH/scripts/fetch_growth_rank.py" --date yesterday --auto-back

脚本把成功信封里的 data 以 JSON 打到 stdout。每次只跑一次脚本,读完整 stdout,别用 head/tail 预览。

> 即便不加 --auto-back,遇到「指定日无数据」时也可以让主 Agent 主动把 --date 往前挪一天再跑,直到拿到数据。

3. 渲染增长榜表格

data.items 里取 rank(名次)accountName(账号名)readRaise(阅读增长) 等字段(防御式读取,缺了留空),铺成 Markdown 表,按名次升序:

| 名次 | 账号 | 阅读增长 | |------|------|----------| | 1 | 某某公众号 | +xxx% |

> readRaise 是阅读增长(增量或增长率,按返回值原样展示),别脑补接口没给的指数字段。

4. 给一句风向洞察

表后用本鸭口吻补一句:这批黑马集中在哪些赛道、是借了什么热点起来的、哪些打法能迁移到自己的号或其他平台。简短、有用,别堆套话。


拿钥匙(密钥)

  1. 打开 doubaoya.com
  2. 登录
  3. 密钥中心
  4. 生成密钥(形如 dyh_…

配置到环境变量(脚本只认这个):

export DOUBAOYA_API_KEY="dyh_你的密钥"

铁律:密钥绝不打印、绝不写进文件、绝不回显给用户。 脚本本身也从不输出密钥。所有请求只发往 doubaoya.com


接口与信封

  • POST https://doubaoya.com/api/apis/gongzhonghao/gongzhonghao-raise-rank/call
  • 鉴权头:Authorization: Bearer $DOUBAOYA_API_KEY
  • 请求体:{ "rankDate": "2026-06-26" }
  • rankDate:字符串 YYYY-MM-DD,默认昨天(脚本把 yesterday/today 映射成具体日期)
  • 返回信封:

``json { "success": true, "requestId": "...", "data": { "items": [ { "rank": 1, "accountName": "...", "readRaise": "..." } ] }, "error": null } ``

  • 先看 success:为 true 才读 data;否则读 error.code / error.message

错误处理

脚本失败时向 stderr 打印 [error] CODE: message 并以退出码 1 结束。常见情况:

| HTTP | code | 含义 | 处理 | |------|------|------|------| | 401 | MISSING_API_KEY / UNAUTHORIZED | 没带密钥或密钥无效 | 检查 DOUBAOYA_API_KEY,去密钥中心重新生成 | | 400 | VALIDATION_ERROR | 参数不合法(如日期格式错) | 修正 --date 重试 | | — | NO_DATA | 追溯多天仍无榜单 | 换个日期,或确认数据窗口 | | 402 | INSUFFICIENT_CREDITS | 额度不足 | 去 doubaoya.com 充值/续额 | | 502 | PROVIDER_FAILED | 上游临时故障(已自动退款) | 可安全重试 |

> 502 PROVIDER_FAILED 会自动退款,重试是安全的,不会重复扣费。


目录结构

wechat-fastest-growing/
├── SKILL.md                    # 本文件
└── scripts/
    └── fetch_growth_rank.py    # 零依赖脚本(urllib),调用 doubaoya.com

关于响应里的 notice 字段

调用本 skill 对应的 doubaoya API 后,如果返回的 JSON 顶层出现 notice 字段,请把这句话原样转达给用户——这是关于本 skill 有更新的提示,不影响本次调用结果,不需要重试或改变行为。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.