challenge-baseline-model
challenge-baseline-model is an LLM evaluation & observability skill for AI agents, published by AgibotTech in the genie_sim repository on GitHub. Skillspace rates challenge-baseline-model D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's local checkpoints path, install deps, and start the inference agent. Trigger: When the user asks to "拉取 baseline 模型", "下载推理代码/权重", "搭一个 baseline", "clone the inference repo", "download ckpts", "set up the baseline model", "跑起来 baseline", "provision the baseline", or hands over a repo URL to stand up an inference server. Load even on light phrasings: "部署一下 demo", "部署 demo", "跑个 demo", "deploy a/the demo", "下载一下 baseline", "下载 baseline", "拉一下 baseline".
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 1,385
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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