Skill Optimizer
by hqhq1025Agent Skills lifecycle toolkit: mine repeated coding-agent workflows, audit and personalize skills, and generalize personal skills for public release.
Skill Optimizer is an open-source agent skill by hqhq1025, written mainly in Python, with 187 GitHub stars and the MIT license. Its code was last updated May 14, 2026.
Scan summary: scanned Nov 5, 2026 at commit b9ffd15. No capabilities flagged by our checks. Scan policy
What Skill Optimizer can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read environment and secretsNot seen in this scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit b9ffd15, Nov 5, 2026. See the scan policy.
Before you install Skill Optimizer
AgenticMart scanned Skill Optimizer on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- A skill is instructions plus optional scripts. The instructions steer your agent; any scripts run on your machine when the agent uses the skill.
- Based on its description and topics, it likely needs to use a code-hosting token (GitHub/GitLab).
Before you install
- Use a fine-grained token limited to the repos it needs.
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by hqhq1025 on GitHub, 187 stars and 6 forks. Popularity is not proof of safety.
- Last code change: May 14, 2026.
- Open-source license: MIT.
Skill Optimizer is an open-source agent skill by hqhq1025, written mainly in Python. Agent Skills lifecycle toolkit: mine repeated coding-agent workflows, audit and personalize skills, and generalize personal skills for public release.
At a glance
- Stars
- 187
- Forks
- 6
- Language
- Python
- License
- MIT
- Created
- Mar 2026
- Last update
- May 14, 2026
- Type
- Agent Skill
- Price
- Free
Topics
Questions about Skill Optimizer
What is Skill Optimizer?
Agent Skills lifecycle toolkit: mine repeated coding-agent workflows, audit and personalize skills, and generalize personal skills for public release.
Who maintains Skill Optimizer?
Skill Optimizer is maintained by hqhq1025 on GitHub (hqhq1025/skill-optimizer). AgenticMart lists it from public repository data.
Is Skill Optimizer safe to use?
AgenticMart scanned Skill Optimizer on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does Skill Optimizer use?
It is published under the MIT license.
Skill Optimizer alternatives
View more →Similar agent skills in Coding Agents, ranked by GitHub stars. Compare licence, recent activity and scan status before you choose.
| Name | Stars | Licence | Last updated | Scan |
|---|---|---|---|---|
| Skill Optimizer (this page) hqhq1025 | 187 | MIT | May 14, 2026 | Scanned, no flagged issues |
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| Agent Skills For Context Engineering muratcankoylan | 18k | MIT | Oct 12, 2026 | Scanned, no flagged issues |