agentsight
agentsight is an LLM evaluation & observability skill for AI agents, published by alibaba in the anolisa repository on GitHub. Skillspace rates agentsight D (61/100) and it passed the safety scan; the rating is based on static analysis only.
通过命令行或 Dashboard（前端） 查询 AgentSight 平台的 token 消耗数据、token 节省（优化）数据、审计事件和会话中断事件。当用户询问 token 用量、花费、消耗趋势、token 节省、优化效果、LLM 调用、进程行为审计，或询问会话中断、Agent 异常、LLM 错误等中断事件时使用此技能。
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 280
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.