B

behavior-observability

VERIFIED

by community

No community reviews yet
144,126,000installs
Updated Aug 2026

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Description

给自主智能体/自动化流水线提供「行为可观测性」:把每一次动作(工具调用、LLM 调用、决策门、 审核结论)以结构化事件落盘,支持多维查询、指标聚合(错误率/平均时延/P95)与行为时间线回放, 便于事后审计、故障归因与策略调优。与 safety-guardrails(决策)和 human-in-loop-review(审核) 互补:它们的决策/审核事件都应 emit 到本日志,形成完整可信行为轨迹。 触发词:行为可观测性、行为追踪、审计日志、事件溯源、observability、trace、agent 监控、 行为时间线、错误率统计。

Install behavior-observability

Run this in your OpenClaw agent to add behavior-observability from the ClawHub registry.

terminal
$openclaw skills install behavior-observability

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

危险50/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is behavior-observability safe to install?

behavior-observability has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does behavior-observability cost?

behavior-observability is free to install for OpenClaw via ClawHub.

What are the best alternatives to behavior-observability?

You can compare behavior-observability side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install behavior-observability?

Install behavior-observability from ClawHub at clawhub.ai/skills/behavior-observability, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateAug 14, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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behavior-observability — OpenClaw Skill Review | SkillsReview