GitHub organization
Agent skills by ModelCloud
- skills
- 2
- repository
- 1
Repositories by ModelCloud
Skills by ModelCloud, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Diagnose and correct GPT-QModel tokenizer initialization, tokenization normalization, special-token handling, prompt rendering, and chat-template problems. | ModelCloud/ | 1.3k | — | ~1.1k | Automated safety check: Pass | Unknown | today |
| 2 | Validate changed quantization math, packed formats, and inference kernels against a Torch oracle; adjudicate near-tie mismatches before rejecting optimized arithmetic. | ModelCloud/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Unknown | today |
Questions, answered from the data.
What is the best skill by ModelCloud?
Gptqmodel Tokenizer Normalization from ModelCloud/GPTQModel ranks first of the 2 skills by ModelCloud listed here, with the highest score: its repository has 1.3k GitHub stars, its SKILL.md loads about 1.1k tokens and it passes the automated safety check with no findings. Next come Gptqmodel Torch Oracle Numerics.
Are ModelCloud's skills official?
None yet. All 2 skills by ModelCloud 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.