GitHub user
Agent skills by zscole
- skills
- 2
- repositories
- 2
Repositories by zscole
Skills by zscole, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. | zscole/ | 556 | — | ~8.3k | Automated safety check: Notes | MIT | 8 mo ago |
| 2 | Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. | zscole/ | 346 | — | ~2.3k | Automated safety check: Pass | MIT | 7 mo ago |
Questions, answered from the data.
What is the best skill by zscole?
Adversarial Spec from zscole/adversarial-spec ranks first of the 2 skills by zscole listed here, with the highest score: its repository has 556 GitHub stars, its SKILL.md loads about 8.3k tokens and it has informational notes only in the automated safety check. Next come Model Hierarchy.
Are zscole's skills official?
None yet. All 2 skills by zscole listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.