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 gingiris-kol-outreachgit 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/gingiris-kol-outreach)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gingiris-kol-outreach"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gingiris-kol-outreach/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/gingiris-kol-outreach"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gingiris-kol-outreach.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 | $0.00397 | $0.05901 |
| Opus 5 | $0.00198 | $0.02950 |
| Sonnet 5 | $0.00079 | $0.01180 |
| Haiku 4.5 | $0.00040 | $0.00590 |
Grade A, and why
gingiris-kol-outreach 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 — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ 2C 产品的渠道调整
本 skill 默认 dev / B2B 渠道。2C 消费品 / 教育 / 应用：获客主战场是 垂类社区 + 短视频 + 垂直 KOL，按地区公开数据选第一平台（如印尼/泰国短视频已反超 Facebook）。KOL 优先 nano / micro 垂类——粉丝越多互动率越低，micro > mega 性价比更高。完整 2C 渠道数据库 + 公开来源见 → gingiris-seo-geo/references/2c-adaptation.md。
KOL 外联与红人营销实战手册
🌍 Language / 语言: 中文 | Full SOP
核心原则
只要活人，不要僵尸。预算集中投入极少数有价值的关键节点，而非撒胡椒面。
成功的KOL合作链条冷启动依赖于拥有高质量"活人粉丝"的关键节点：创业者、大厂高管、技术专家和投资人。
关键洞察：Newsletter创始人的个人账号是极有价值的引爆节点（Manus: Rowan Cheung → 2.8M浏览; Devin: Zain Kahn → 1.4K转发）
KOL 合作全流程 SOP（6步）
Step 1：筛选与名单建立（L-4周）
分层策略：
- 第一梯队（引爆节点）：Newsletter创始人、技术大牛、顶级VC → 人脉免费触达
- 第二梯队（传播放大）：中腰部KOL（1-20万粉）→ 付费合作
- 第三梯队（长尾覆盖）：微型创作者 → 模板化/权益置换
筛选标准：
| 维度 | 标准 |
|---|---|
| 粉丝量 | 1万-10万性价比最高 |
| 互动率 | 平均浏览量/粉丝数 > 10% |
| 内容垂直度 | 与产品领域高度相关 |
| 受众画像 | 与产品ICP高度重合 |
Step 2：询价与建联（L-4周）
各平台报价参考：
| 平台 | 合作形式 | 参考报价 |
|---|---|---|
| Twitter/X | 1个Thread | $50-200 |
| YouTube | 长视频（专题） | $600-1,500 |
| TikTok | 单次合作 | $200-500 |
| 单帖 | $2,000-8,000 |
砍价策略：首次报价后以"预算有限"为由降30%-50%，用"长期合作+独家早期访问"附加价值谈判。
Step 3：发送Content Package（L-3周）
Content Package 必须包含：Product Overview、Brand Assets、Key Talking Points、Publishing Requirements（含具体日期时间）、UTM Links（每位KOL专属）。
Step 4：审核KOL草稿（L-2周）
审核清单：UTM链接正确 → @官方账号 → 包含Hashtag → 品牌视频附上 → 核心链接位置正确 → 发布时间一致 → 内容真实非广告化
Step 5：付款（L-1天至L-Day）
在内容发布前1-2天统一支付。收集：Account name / Account number / SWIFT code / Bank name / Routing number（美国账号）。
Step 6：发布监控与数据复盘（L-Day至L+1周）
- 确认按时发布 → 第一时间互动激活 → 要求24h/48h/72h数据截图
- UTM追踪转化 → 计算ROI：
(KOL带来收入 - 合作成本) / 合作成本
Apple Notes 真实项目记录：AFFiNE Product Hunt
2024-03-04 的项目笔记记录：3 人运营小队在 24 小时内协调 30 位 Twitter/LinkedIn KOL 与多渠道连续发布，报告获得 70 万+ 全网曝光和 1,000+ Product Hunt upvotes，并在 96 小时内进入当月第 8。该记录验证了“少团队也需要明确分工、素材包、发布节奏和集中监控”；它不能证明每位 KOL 的固定曝光或投票产出，也不能替代 UTM、注册、激活和付费归因。
数据评估体系
| 指标 | 评估标准 |
|---|---|
| ROI | (带来注册数 × LTV) / KOL费用 |
| Channel CPM | 用近10期中位数计算，避免极值 |
| 互动率 | 随机取5条帖子加总算平均 |
| 转化追踪 | 每个KOL专属UTM → 至少追踪到PV |
What ships with it
4 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 First seen · 329 lines · 397 tokens per session scan A cd0cae1f90b5
gingiris-kol-outreach is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 6d ago), licensed MIT. It adds 397 tokens to every session and 5,901 once invoked, about $0.0020 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 2026-08-30.
Other skills, from other repositories
social-media-expert
Build comprehensive social media solutions including content management, engagement tracking, influencer campaigns, and social analytics. Use when the user mentions social media content scheduling, engagement metrics, influencer campaigns, social listening, or community management.
social-lead-gen
Lead generation from social media — find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by billions of indexed posts.
creator-authenticity-score
Vet Instagram creators before a sponsorship: view-based engagement rate, bot and spam share of their comments, and a 0-100 authenticity score for one creator or a whole list. Influencer vetting and partner selection on billions of indexed posts via Xpoz MCP.
expert-finder
Find domain experts, thought leaders, and subject-matter authorities on any topic. Searches Twitter and Reddit for people who demonstrate deep knowledge, frequent discussion, and above-average expertise in a specific field. Expert discovery, talent sourcing, researcher identification, and KOL (Key Opinion Leader)…
lead-generation
Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by 1.5B+ indexed posts via Xpoz MCP.
leadership-change-outreach
End-to-end leadership change signal composite. Takes any set of companies, detects recent leadership changes (new VP+, C-suite hires and promotions), evaluates relevance to your product, and drafts personalized outreach. Uses Apollo People Search (free) for fast detection + Apollo Enrichment (1 credit/person) for…