gingiris-kol-outreach

gingiris-kol-outreach is a skill for Claude Code from Gingiris-1031/Competitor-analysis-tool. It costs 397 tokens per session (1,773 once invoked), scanned A, original, no licence file.

A playbook for working with key opinion leaders (KOLs), such as influencers or recognised experts with an audience. It covers finding them, contacting them, planning campaigns, and measuring results.

In plain words
What is it for?
Use it to find and assess KOLs, write outreach emails, prepare content packages, plan campaigns, and track return on investment.
Why use it?
It helps structure influencer campaigns and evaluate their costs and results with templates, benchmarks, and selection frameworks.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter.

Good fit Use it to find and assess KOLs, write outreach emails, prepare content packages, plan campaigns, and track return on investment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gingiris-1031/competitor-analysis-tool/gingiris-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/Competitor-analysis-tool --skill gingiris-kol-outreach
Clone the repo
git clone --depth 1 https://github.com/Gingiris-1031/Competitor-analysis-tool

Made for: Claude Code.

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 gingiris-kol-outreach

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

agentmods 80×15 button for gingiris-kol-outreach

Your own site · 80×15
<a href="https://agentmods.dev/skills/gingiris-1031/competitor-analysis-tool/gingiris-kol-outreach"><img src="https://agentmods.dev/badge/skills/gingiris-1031/competitor-analysis-tool/gingiris-kol-outreach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 397 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,773 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.
Origin unknown 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 $0.00397 $0.01773
Opus 5.5 $0.00159 $0.00709
Sonnet 5.5 $0.00079 $0.00355
Haiku 4.5 $0.00040 $0.00177

Measured 2mo ago against content hash 35d01c5a06bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

gingiris-skills/gingiris-kol-outreach/SKILL.md · 137 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 137 lines · 397 tokens per session scan A 35d01c5a06bc

Subscribe to this mod's changes

gingiris-kol-outreach is a skill published in the GitHub repository Gingiris-1031/Competitor-analysis-tool (111 stars, last pushed 5d ago), with no licence file. It adds 397 tokens to every session and 1,773 once invoked, about $0.0016 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.

Related

gingiris-kol-outreach compared with skills from other repositories

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