kol-outreach

kol-outreach is a skill for Claude Code, Codex from Gingiris-1031/gingiris-skills. It costs 48 tokens per session (1,793 once invoked), scanned A, original, MIT.

A set of cold-outreach templates for contacting key opinion leaders (KOLs), such as online creators or influencers who can introduce products to their audiences. It includes direct messages, email sequences, follow-ups, and partnership structures.

In plain words
What is it for?
Use it to write outreach for Twitter, Instagram, LinkedIn, or email, plan three-touch follow-ups, present a value-first pitch, and choose a partnership structure.
Why use it?
It helps structure initial contact with busy creators and provides a clear cadence for following up or stopping. It also covers different arrangements, including paid, barter, and affiliate partnerships.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to write outreach for Twitter, Instagram, LinkedIn, or email, plan three-touch follow-ups, present a value-first pitch, and choose a partnership structure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gingiris-1031/gingiris-skills/kol-outreach
Install

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.

Any agent
npx skills add Gingiris-1031/gingiris-skills --skill kol-outreach
Clone the repo
git clone --depth 1 https://github.com/Gingiris-1031/gingiris-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for kol-outreach

README.md
[![agentmods](https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/kol-outreach/github.svg)](https://agentmods.dev/skills/gingiris-1031/gingiris-skills/kol-outreach)
Your own site
<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/kol-outreach"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/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.

agentmods 80×15 button for kol-outreach

Your own site · 80×15
<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/kol-outreach"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/kol-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,793 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01793
Opus 5 $0.00024 $0.00897
Sonnet 5 $0.00010 $0.00359
Haiku 4.5 $0.00005 $0.00179

Measured 12d ago against content hash dc1545130be5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

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 12d 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.

skills/kol-outreach/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 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 Cold Outreach Templates — DM Scripts That Get Replies

🌍 Language / 语言: 中文 | English | 日本語 | 한국어

📦 Install

clawhub install kol-outreach

What you get after installing:

  • Platform-specific DM scripts for Twitter, Instagram, and LinkedIn
  • 3-touch cold email templates with 40%+ reply rates
  • Follow-up cadence and partnership structure frameworks

Stop getting ignored. These templates are battle-tested across 500+ successful creator partnerships.

  • DM scripts: Platform-specific templates for Twitter, Instagram, and LinkedIn
  • Email sequences: 3-touch cold email templates with 40%+ reply rates
  • Value-first approach: How to pitch so creators want to respond
  • Follow-up cadence: When to follow up, how many times, and when to stop
  • Partnership structures: Paid vs barter vs affiliate — which to propose when

Rate Card & Negotiation Benchmarks (2025–2026 actuals)

Figures below are closed-deal numbers across dozens of campaigns, not list prices:

Format Actual paid range Notes
X/Twitter quote-tweet $20–30 in bulk, ~$50 typical The workhorse unit
X/Twitter thread $80–200 10K-view-tier threads land at $50–200
Bundle (thread + single post + quote) ~$150 all-in Always ask for the bundle price
YouTube dedicated video $600–800 for sub-100K channels $1,500 absolute cap — only when avg views 10K+ AND <100K subs AND prior same-category work
Instagram Reels $30–80
TikTok short video $100–300
UGC creators $10–40/post + tiered bonus e.g. +$20 at 10K views, +$50 at 100K

Negotiation defaults:

  • First quotes are inflated by design — counter at roughly one-third and expect at least two rounds.
  • Bundles beat singles on unit cost; a polite second discount ask right before publish often lands.
  • Monthly retainers (~$100/mo for 4 quote-tweets) suit teams shipping features weekly.
  • Skip agencies: they can't commit to acquisition numbers and stack margin on top.

Read the full file on GitHub · 109 lines

Files

What ships with it

5 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.

Changes

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.

  1. 12d ago First seen · 109 lines · 48 tokens per session scan A dc1545130be5

Subscribe to this mod's changes

kol-outreach is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 7d ago), licensed MIT. It adds 48 tokens to every session and 1,793 once invoked, about $0.0002 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.

Related

Other skills, from other repositories