Kol Engager Icp

What it does

When your agent uses it

• Someone wants to find leads from KOL audiences
• Scrape engagers from influencer posts
• After running kol-discovery

Example prompts

• “find leads from KOL audiences”
• “scrape engagers from influencer posts”
• “/kol-engager-icp”

Requirements

• Python 3
• A credential in APIFY_API_TOKEN

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Intake
2. 2Run the Pipeline
3. 3Review & Refine
4. 4Output

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python3

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • linkedin.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • APIFY_API_TOKEN

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Kol Engager Icp loads about 1.7k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 610 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~109

When it runs · the whole SKILL.md, loaded when a task matches

~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:153

  I token** — set as `APIFY_API_TOKEN` in `.env`

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 610 words, ~1,655 tokens.

name

kol-engager-icp

description

Find ICP-fit leads from KOL audiences on LinkedIn. Given a list of KOLs, scrapes their most relevant high-engagement post from the last 30 days, extracts engagers (reactors + commenters), pre-filters by position, enriches top profiles, and ICP-classifies. Cost-controlled: 1 post per KOL. Use when someone wants to "find leads from KOL audiences" or "scrape engagers from influencer posts" or after running kol-discovery.

tags

lead-generation

skills/kol-engager-icp/configs/{client-name}.json

{
  "client_name": "example",
  "topic_keywords": ["freight automation", "dispatch operations"],
  "topic_patterns": ["freight.*automat", "dispatch.*oper"],
  "icp_keywords": ["freight", "logistics", "3pl"],
  "target_titles": ["vp operations", "head of logistics", "coo"],
  "exclude_titles": ["software engineer", "data scientist"],
  "tech_vendor_keywords": ["competitor-name", "saas founder"],
  "country_filter": "United States",
  "kol_urls": ["https://www.linkedin.com/in/kol-1/"],
  "days_back": 30,
  "max_posts_per_kol": 20,
  "max_kols": 10,
  "max_enrichment_profiles": 200,
  "mode": "standard"
}

python3 skills/kol-engager-icp/scripts/kol_engager_icp.py \
  --config skills/kol-engager-icp/configs/{client-name}.json \
  [--test] [--probe] [--yes] [--kols "url1,url2"]

python3 skills/kol-engager-icp/scripts/kol_engager_icp.py \
  --config skills/kol-engager-icp/configs/{client-name}.json --probe

# Use KOL URLs from discovery output
python3 skills/kol-engager-icp/scripts/kol_engager_icp.py \
  --config skills/kol-engager-icp/configs/example.json \
  --kols "https://linkedin.com/in/kol1,https://linkedin.com/in/kol2"

python3 skills/kol-engager-icp/scripts/kol_engager_icp.py \
  --config skills/kol-engager-icp/configs/example.json --test

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/lead-generation/capabilities/kol-engager-icp of gooseworks-ai/goose-skills.

• SKILL.md
• scripts/kol_engager_icp.py
• skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.

• criptogus/agent-evolve-network.claude/skills/kol-engager-icp