ai-prd-workflow: RFC-driven development for AI coding agents: idea or existing codebase → verified PRD → features → rules →

by nurettincoban · Claude Skill · ★ 298

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

How to install ai-prd-workflow

git clone https://github.com/nurettincoban/ai-prd-workflow.git

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.

🧪 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: At the 45-minute limit the ledger had no budget and no export. · one-sentence page: 4 of 4 checks · family ledger: 6 of 8 · opens by double-click · stopped to ask 6 times · 30.0 + 45.0 min, 13.5× the usage of no tool

See both builds → · See the whole test →

agent-skillsagentic-codingai-toolsai-workflowclaudeclaude-codeclaude-code-plugincodexcursor-aigemini-cli

Quick Facts

Stars298
Forks34
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score70/100
Last Updated2026-10-08
Created2025-03-09
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~17k

About ai-prd-workflow

📋 AI PRD Workflow RFC-driven development for AI coding agents Vague idea → verified PRD → features → rules → sequenced RFCs → reviewed, tested code Quick Start · Workflow · Commands · Why RFCs? · Examples RFC-driven since March 2025 — before planning modes existed in any AI coding agent. A lightweight RFC-driven development workflow for AI coding tools.

Compatible Skills

These tools work well together with ai-prd-workflow for enhanced workflows:

  • starship-claude — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • dryforge — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • AgentLint — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • project-butler — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

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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