claude-code-action — security grade SAFE, quality 48/100

Security audit verdict: SAFE · quality 48/100

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 anthropics · Claude Skill · ★ 8.9k

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

🔒 Is claude-code-action safe to install? View the security audit →

About claude-code-action

Claude Code Action A general-purpose Claude Code action for GitHub PRs and issues that can answer questions and implement code changes. This action intelligently detects when to activate based on your workflow context—whether responding to @claude mentions, issue assignments, or executing automation tasks with explicit prompts. It supports multiple authentication methods including Anthropic direct API (API key or workload identity federation), Amazon Bedrock, Google Vertex AI, and Microsoft Foundry. Features 🎯 Intelligent Mode Detection: Automatically selects the appropriate execution mode based on your workflow context—no configuration needed 🤖 Interactive Code Assistant: Claude can answer questions about code, architecture, and programming 🔍 Code Review: Analyzes PR changes and suggests improvements ✨ Code Implementation: Can implement simple fixes, refactoring, and even new features 💬 PR/Issue Integration: Works seamlessly with GitHub comments and PR reviews 🛠️ Flexible Tool Access: Access to GitHub APIs and file operations (additional tools can be enabled via configuration) 📋 Progress Tracking: Visual progress indicators with checkboxes that dynamically update as Claude...

Quick Facts

Stars8,910
Forks2,151
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score47.9983429362411/100
Open Issues796
Last Updated2026-09-19
Created2025-05-19
Platformsclaude-code, node
Est. Tokens~15k

Compatible Skills

These tools work well together with claude-code-action for enhanced workflows:

  • clawhub — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • claude-code-hub — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • lottie — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • claudecodeui — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
  • openclaw-wechat — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)

claude-code-action alternative? Top 6 similar tools

Looking for a claude-code-action alternative? If you're comparing claude-code-action with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is claude-code-action?

claude-code-action is an open-source claude skill by anthropics with 8.9k GitHub stars.

What programming language is claude-code-action written in?

claude-code-action is primarily written in TypeScript.

How do I install or use claude-code-action?

You can find installation instructions and usage details in the claude-code-action GitHub repository at github.com/anthropics/claude-code-action. The project has 8.9k stars and 2151 forks, indicating an active community.

What license does claude-code-action use?

claude-code-action is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to claude-code-action?

The top alternatives to claude-code-action on Agent Skills Hub include awesome-agent-skills, frontend-slides, planning-with-files. 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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