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 tt-a1i · Codex Skill · ★ 164
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is matt-skills-with-to-goal safe to install? View the security audit →
Matt Skills with To-Goal 把需求留在规划线程，把实现放进执行线程：能继承就 Fork，要搬运就 Goal 让规划线程专注于把事情想清楚，让执行线程专注于把事情做完。 ▶ 在线故事版：别让一个线程从需求聊到代码写完 它解决什么问题 AI coding 任务常常从需求讨论一路聊到代码实现。线程越长，上下文越容易膨胀、压缩和变慢；但直接开新线程，又担心缺少需求背景和已经确认的决策。 这套技能把工作拆成两类线程，并用仓库里的持久化证据连接它们： Fork 负责隔离后续上下文，Goal 负责压缩已有上下文。 连续开发优先 fork；跨人、跨天、跨引擎、并行或上下文混乱时使用 to-goa
| Stars | 164 |
| Forks | 17 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.5207077341083/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-14 |
| Created | 2026-07-11 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~13k |
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matt-skills-with-to-goal is Planning → verifiable goals → fresh-session implementation for AI coding agents. Based on mattpocock/skills v1.1.. It is categorized as a Codex Skill with 164 GitHub stars.
matt-skills-with-to-goal is primarily written in Shell. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the matt-skills-with-to-goal GitHub repository at github.com/tt-a1i/matt-skills-with-to-goal. The project has 164 stars and 17 forks, indicating an active community.
matt-skills-with-to-goal is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to matt-skills-with-to-goal on Agent Skills Hub include ok-skills, sage, ai-workflow. 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: