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 majiayu000 · Codex Skill · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-goal-prompts safe to install? View the security audit →
Awesome Goal Prompts — Coding Agent Rescue Contracts When Claude Code, Codex, Cursor, or another coding agent starts making broad edits, paste a contract that says exactly what to inspect, what not to touch, how to verify, and when to stop. This repo keeps 300+ runnable contracts for engineering work. Start with the provenance-backed rescue prompts below; use seed patterns only when you need a raw shape to adapt. Search the full catalog: https://majiayu000.github.io/awesome-goal-prompts/ A good goal is not a wish. It is a runnable contract: one goal, enough context to inspect, hard constraints, verifiable completion, and stop rules for uncertainty or risk. This repo turns that contract shape into a catalog you can search, inspect, adapt, and copy. The public catalog starts with 151 source-backed examples drawn from official docs, public GitHub threads, tutorials, forum posts, and tool READMEs. The other 200 reusable seed patterns are kept in Seed Patterns so they do not dilute provenance-backed examples. Try It In 60 Seconds Open the searchable catalog at https://majiayu000.github.io/awesome-goa
| Stars | 51 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | CC0-1.0 |
| Quality Score | 58.2683925119261/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-12 |
| Created | 2026-05-13 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~23k |
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awesome-goal-prompts is 114 source-backed /goal contracts for coding agents, plus 200 separated seed patterns.. It is categorized as a Codex Skill with 51 GitHub stars.
awesome-goal-prompts is primarily written in Python. It covers topics such as agent-skills, agent-workflows, agentic-ai.
You can find installation instructions and usage details in the awesome-goal-prompts GitHub repository at github.com/majiayu000/awesome-goal-prompts. The project has 51 stars and 5 forks, indicating an active community.
awesome-goal-prompts is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-goal-prompts on Agent Skills Hub include agent-skills, awesome-ai-agent-skills, forgecat-agent-profiles. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: