Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Gingiris-1031/gingiris-skills --skill gr-asogit clone --depth 1 https://github.com/Gingiris-1031/gingiris-skillsWrote 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/gingiris-1031/gingiris-skills/gr-aso)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gr-aso"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gr-aso/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/gingiris-1031/gingiris-skills/gr-aso"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gr-aso.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00056 | $0.01168 |
| Opus 5.5 | $0.00022 | $0.00467 |
| Sonnet 5.5 | $0.00011 | $0.00234 |
| Haiku 4.5 | $0.00006 | $0.00117 |
Grade A, and why
gr-aso 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 11d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gr-aso — ASO 与 App 冷启动
什么时候用
- "我的 App 要上 App Store / Play Store，怎么做 ASO"
- "关键词排名上不去"
- "需要冷启动方案（0 下载 → 10k）"
- "怎么做 TikTok 创作者矩阵"
- "怎么做多内容角度的 UGC 分发"
核心 4 层
Layer 1：Metadata（产品层）
- App name ≤ 30 字符，主关键词前置
- Subtitle ≤ 30 字符，副关键词
- Description ≤ 4000 字符（iOS）/ 4000 字符（Android），前 3 行决定 CTR
- Keyword field（仅 iOS）≤ 100 字符，用 "," 分隔，禁止重复词
Layer 2：Creative（视觉层）
- Screenshot 1：核心痛点 / 结果（CTR 决定 80%）
- Screenshot 2-5：功能 + 数据 + 社会证明
- Preview video 15-30s，前 3s 决定留存
Layer 3：Rating（信任层）
- 首月冲 100+ 评分（种子用户激励）
- 负评快速响应（开发者回复率影响推荐）
- 持续拿 4.5+ 星
Layer 4：Traffic（流量层）
- UGC 创作者矩阵：TikTok / 小红书 / Instagram，50 个腰部创作者 > 1 个大 V
- 多角度 UGC 分发：鼓励不同创作者从各自真实视角出发，覆盖不同使用场景（每人独立内容，符合平台原创要求）
- TikTok 投流：Spark Ads > Feed Ads
- ASA（App Store Ads）：关键词竞价，从低竞争长尾切入
深度参考
📂 https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gingiris-aso-growth
references/full-guide-zh.md— 完整中文指南（含王恒加老师 2026-03 会议纪要）
冷启动 30 天节奏
| 周 | 动作 |
|---|---|
| W1 | Metadata 定稿 + 上线 → ASA 小预算测关键词 |
| W2 | UGC 创作者 BD（20 个腰部） |
| W3 | UGC 发布高峰 + TikTok 投流开始 |
| W4 | 数据回看 → 定 Metadata v2 / 创作者 v2 |
级联推荐
- 关键词研究需要 SERP →
gr-seo-patrol（跑移动端） - 内容产出 →
gr-blog-post（做 landing page SEO 获长尾） - PMF 反馈 →
gr-user-interview - 对手 App 分析 →
gr-competitor（用 actionbook 扫对手的 screenshot / description）
反模式
- ❌ 只优化 metadata 不做 UGC（纯 ASO 天花板 = 行业类目 Top 50）
- ❌ 硬刷下载（苹果算法能识别，后果是下架）
- ❌ 多账号复制粘贴同一内容（平台去重降权；每位创作者必须产出真实独立内容）
- ❌ 忽略差评（差评不回复，评分会慢性掉）
- ❌ ASA 预算一次性砸（要按关键词分批测）
加入出海社群与购买资料包 · Community & Resources
-
加入出海社群： 微信添加 staywildgrow，留言「加入社群」即可。
-
购买资料包： 微信添加 staywildgrow，咨询购买 Gingiris 出海资料包，价格 599 元人民币。
-
Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).
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Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.
社群与资料包为可选入口，不影响本开源 Skill 的安装和使用。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago Changed · +14 lines 821cef544c36
- 1mo ago First seen · 101 lines · 56 tokens per session scan A 4bd84b141892
gr-aso is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (87 stars, last pushed 11d ago), licensed MIT. It adds 56 tokens to every session and 1,168 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
aso-atlas
App Store Optimization with ASO Atlas. Use for App Store and Google Play keyword research (popularity, difficulty, who ranks), tracking an app's keyword rankings per storefront, competitor keyword gaps, metadata (title, subtitle, keyword field) drafts, and questions like "how is my app doing" answered from App Store…
aso
Route or run comprehensive App Store Optimization work for iOS and Android. Use for full listing audits, multi-area ASO requests, or when the user does not name a more specific ASO task. Covers keyword research, metadata, visuals, reviews, competitors, localization, testing, technical health, compliance, conversion…
aso-apptweak
Live ASO data via AppTweak REST API. Keyword suggestions with volume/difficulty, app rankings, competitor analysis, review sentiment, and historical data. Requires AppTweak API key. Triggers on: "apptweak", "live data", "keyword volume".
aso-asc
Apple App Store Connect API integration. Fetch iOS app metadata, reviews, ratings, and version info directly from App Store Connect. Requires API key. Triggers on: "app store connect", "asc".
aso-creative
Improve app-store screenshots, preview video, icon presentation, conversion, and store experiments for Apple App Store and Google Play.
aso-listing
Research and improve app-store keywords, metadata, localization, and seasonal listing changes for Apple App Store and Google Play.