evanflow: A TDD-driven iterative feedback loop for software development

by evanklem · Claude Skill · ★ 418

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

Featured in: Claude Code Skills · Open-Source Vibe Coding Tools

How to install evanflow

/plugin marketplace add evanklem/evanflow
/plugin install evanflow@evanflow

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 65/100

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.

🧪 Tested by Agent Skills Hub

One of 14 tools we ran end to end on the same task for our Open-Source Vibe Coding Tools page (2026-10-27).

Result: one-sentence page: 4 of 4 checks · family ledger: 8 of 8 · opens by double-click · stopped to ask 4 times · 2.8 + 24.7 min, 2.9× the usage of no tool

See both builds → · See the whole test →

Quick Facts

Stars418
Forks18
LanguageShell
CategoryClaude Skill
Quality Score65/100
Last Updated2026-05-13
Created2026-04-27
Platformsclaude-code, cli
Est. Tokens~8k

About evanflow

EvanFlow A TDD-driven iterative feedback loop for software development with Claude Code. 16 cohesive skills + 2 custom subagents walk an idea from brainstorm through implementation, with checkpoints throughout where you stay in control. One entry point: say "let's evanflow this" and the orchestrator runs the loop.

Compatible Skills

These tools work well together with evanflow for enhanced workflows:

  • don-cheli-sdd — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • ai-driven-dev-community — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • superpowers-zh — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)
  • claude-plugins — semantic(0.22)+complementary+similar_pop+shared_platform (48%)

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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