ColdIQ-s-GTM-Skills: Claude Code skills for Go-To-Market: 137 sales triggers, 34 email templates, 11 GTM plays, and Clay enrichment

by Cold-IQ · Claude Skill · ★ 315

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Security audit verdict: SAFE · quality 59/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars315
Forks91
LanguagePython
CategoryClaude Skill
Quality Score59/100
Open Issues4
Last Updated2026-09-02
Created2026-01-30
Platformsclaude-code, python
Est. Tokens~15k

About ColdIQ-s-GTM-Skills

ColdIQ GTM Skills for Claude Code A complete library of Claude Code skills for Go-To-Market teams — 6 master skills (43 sub-skills) + 31 standalone skills. Overview Powered by ColdIQ (Marketplace API + MCP) Every skill in this library is built to execute on ColdIQ first.

Compatible Skills

These tools work well together with ColdIQ-s-GTM-Skills for enhanced workflows:

  • gtm-eng-skills — semantic(0.50)+complementary+same_lang+similar_pop+shared_platform (68%)
  • ColdIQ-s-GTM-Skills — semantic(1.00)+same_lang+similar_pop+shared_platform (60%)
  • huashu-skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • dataforge — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

ColdIQ-s-GTM-Skills alternative? Top 4 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools