claude-code-sdlc: Turn Claude Code into an autonomous software development team

by Koroqe · Agent Tool · ★ 52

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

How to install claude-code-sdlc

/plugin marketplace add Koroqe/claude-code-sdlc
/plugin install claude-code-sdlc@claude-code-sdlc

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

ai-agentsanthropicautomationclaudeclaude-codecode-reviewdeveloper-toolsdevtoolspluginquality-gates

Quick Facts

Stars52
Forks4
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score70/100
Open Issues5
Last Updated2026-10-23
Created2026-03-13
Platformsclaude-code, node
Est. Tokens~24k

About claude-code-sdlc

Claude Code SDLC Turn Claude Code into a full software development team. 16 specialized AI agents. Documentation-first. TDD. Quality gates. Hardened against Claude Code's known limitations. []() Claude Code SDLC is an open-source (MIT) plugin that turns Anthropic's Claude Code into a 16-agent software development team enforcing documentation-first planning, test-driven development, and 9...

Compatible Skills

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

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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 Agent Tool tools