coreclaw-api-directory — security grade SAFE, quality 61/100

Security audit verdict: SAFE · quality 61/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by cporter202 · MCP Server · ★ 163

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About coreclaw-api-directory

Browse categories · All 118 APIs · Featured Workers · Use the API · Download CSV · Contribute CoreClaw API Directory A polished, community

api-directoryapi-listautomationawesome-listcoreclawdata-extractiondeveloper-toolsecommercelead-generationmcp

Quick Facts

Stars163
Forks40
LanguagePython
CategoryMCP Server
Quality Score60.7832202591683/100
Open Issues1
Last Updated2026-09-11
Created2026-07-22
Platformsbrowser, mcp, python
Est. Tokens~25k

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Frequently Asked Questions

What is coreclaw-api-directory?

coreclaw-api-directory is An unofficial, categorized directory of 118 CoreClaw Worker APIs for web scraping, automation, lead generation, e-commerce, social data, and more.. It is categorized as a MCP Server with 163 GitHub stars.

What programming language is coreclaw-api-directory written in?

coreclaw-api-directory is primarily written in Python. It covers topics such as api-directory, api-list, automation.

How do I install or use coreclaw-api-directory?

You can find installation instructions and usage details in the coreclaw-api-directory GitHub repository at github.com/cporter202/coreclaw-api-directory. The project has 163 stars and 40 forks, indicating an active community.

What are the best alternatives to coreclaw-api-directory?

The top alternatives to coreclaw-api-directory on Agent Skills Hub include camofox-browser, FirstData, Overture. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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:

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