goal-workflow: AI-driven development workflow with /prd, /goal, /review-it and /ship-it skills

Last updated: 2026-09-13 · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install goal-workflow

npx skills add smallnest/goal-workflow

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

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.

claude-codecodexdevelopmentskillssoftware-engineeringworkflow

Quick Facts

Stars	280
Forks	42
Language	HTML
Category	Codex Skill
License	MIT
Quality Score	63/100
Open Issues	5
Last Updated	2026-09-13
Created	2026-05-16
Platforms	claude-code, codex
Est. Tokens	~16k

About goal-workflow

goal-workflow English | 简体中文 An AI-driven development workflow — from PRD to shipped code, all within Claude Code. Installation Skills Documentation Full usage guide: docs/index.html

Compatible Skills

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

Happycapy-skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
ring — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
third-brain-v5-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

goal-workflow alternative? Top 6 similar tools

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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 Codex Skill tools