Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/unchartered-starlet3516/App-data-IOS-GP-npx agentmods add skills/unchartered-starlet3516/app-data-ios-gp-/foxdata-auto-publishWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/unchartered-starlet3516/app-data-ios-gp-/foxdata-auto-publish)<a href="https://agentmods.dev/skills/unchartered-starlet3516/app-data-ios-gp-/foxdata-auto-publish"><img src="https://agentmods.dev/badge/skills/unchartered-starlet3516/app-data-ios-gp-/foxdata-auto-publish/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/unchartered-starlet3516/app-data-ios-gp-/foxdata-auto-publish"><img src="https://agentmods.dev/badge/skills/unchartered-starlet3516/app-data-ios-gp-/foxdata-auto-publish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00126 | $0.01780 |
| Opus 5 | $0.00063 | $0.00890 |
| Sonnet 5 | $0.00025 | $0.00356 |
| Haiku 4.5 | $0.00013 | $0.00178 |
Grade A, and why
foxdata-auto-publish scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FoxData 内容自动化发布系统（foxdata-auto-publish）
基于 FoxData Open API（iOS App Store + Google Play 应用商店数据：下载/收入/排名/关键词/竞品/评分/版本/ASA）+ foxdata-aichat MCP + 多平台发布客户端的最简自动化方案：一条命令完成「拉数据 → 内容 → 发布」。
系统位置
- 主系统：
/mnt/user-data/workspace/devrel-automation/ - 轻量发布：
/mnt/user-data/workspace/bs-automation/（Bluesky + Threads） - 完整指南：
docs/setup-guide.md（凭据获取）、docs/foxdata-content-guide.md（内容策略）
数据通道（数据获取需要 FoxData 付费订阅）
⚠️ 重要：FoxData 数据服务（Open API 与 foxdata-aichat MCP）均为只读查询，且需要付费订阅 （API Solutions 计划，$59/月起，按调用次数/积分计费）。MCP 不能发布内容——发布走各平台官方 API（Dev.to 等免费）。
| 通道 | 配置 | 说明 |
|---|---|---|
| FoxData 官方 Open API | config/foxdata_creds.json → {"x_openapi_key": "..."}（Base: https://api.foxdata.com/apiv1/open-api，Header x-openapi-key） |
付费订阅后脚本完全自主拉数 |
| foxdata-aichat MCP | 对话内调用（MCP 工具） | 只读查询接口，消耗订阅配额/积分，拉完存 data/raw_latest.json 供后续使用 |
无订阅时：内容素材可用公开数据/人工整理代替，或等订阅开通后再启用自动拉数。
官方 API 要点（见 https://docs.foxdata.com/）：
- 端点示例：
POST /app/app-info（body: appId/region/language） - 分页：响应
data.next→GET /common/next-page?taskId=&pageKey= - 错误码：401 缺 key / 403 key 无效 / 429 限流 / 60003 日配额 / 60005 积分不足 / 60008 无数据
- 脚本已内置重试与翻页（
clients/foxdata_client.py）
一键自动化（核心用法）
cd /mnt/user-data/workspace/devrel-automation
python3 auto.py all # 全链路：fetch(拉数据) → plan(生成计划) → publish(发布)
python3 auto.py status # 各平台凭据与内容状态总览
python3 auto.py fetch # 只拉数据（需 FoxData 订阅；无 key 时跳过）
内容生产流程（本技能的核心价值）
- 拉数据：官方 API（有 key）或对话中调用 foxdata-aichat MCP（search_app / get_search_index_ranking / get_download_ranking / get_app_competitors 为稳定接口）→ 存
data/raw_latest.json - 生成内容（英文为主，直接写入草稿目录）：
- X 短帖 →
posts/drafts/*.txt（≤270 权重：中文×2 其他×1，带 1-2 个标签） - Dev.to 长文 →
content/articles/*.md（frontmatter: title/tags/series/scheduled） - Product Hunt 更新 →
content/ph/*.json（slug/name/tagline/description/url/scheduled） - Bluesky/Threads（可选）→
bs-automation/posts/drafts/*.txt（≤300 字符）
- X 短帖 →
- 内容配比：数据洞察 40% / 关键词情报 20% / API 干货 15% / 榜单周报 10% / 竞品拆解 10% / 产品更新 5%
- 发布：
auto.py all（有凭据的平台自动发布，其余跳过；间隔保护 60 分钟 + 内容哈希防重复 + 失败不重试）
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 103 lines · 126 tokens per session scan A ffd9ed69f220
foxdata-auto-publish is a skill published in the GitHub repository unchartered-starlet3516/App-data-IOS-GP- (0 stars, last pushed yesterday), licensed MIT. It adds 126 tokens to every session and 1,780 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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