Reviews Observal sessions, traces, rankings, ratings, logs, and telemetry health, then generates Agent insight reports. Use it to investigate current activity, diagnose telemetry, analyze regressions, and ground recommendations in observed usage while accounting for sample size and uncertainty.
中文简介正在准备中。当前显示英语简介。
Inspects Observal traces, sessions, rankings, feedback, telemetry health, logs, and Agent insight reports. Use when the user wants operational evidence, current activity, telemetry diagnosis, ratings, report generation, regression analysis, or recommendations grounded in Agent usage.
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
--output json whenever supported. Parse list envelopes, finite objects, and JSON Lines separately.--help before acting when a path or flag is uncertain.| User intent | Read |
|---|---|
| Sessions, traces, rankings, ratings, telemetry, or logs | Operational workflows |
| Agent health, friction, costs, versions, regressions, or suggestions | Insight reports |
| MCP, skill and hook component presence, observed calls, skill loads or hook runs, and attribution coverage | Insight reports |
Read the selected reference completely before executing.
--component mcp|skill|hook NAMESPACE/SLUG with insights list|show|generate; coverage gaps are unknown, never proof of non-use. A skill load or invocation shows its instructions entered context, never that the skill helped; a recorded hook run is a lower bound and never shows what the hook changed.component_ref proves an insight suggestion maps to a Registry component. Never reconstruct a component identity from prose.Report the time range, filters, counts, health state, strongest evidence, uncertainty, and concrete next action. Do not present popularity fallback or sparse reports as personalized certainty.
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Finds approved skills, prompts, MCP servers, or agents that fit a task before work begins, and guides core Observal account, setup, inbox, registry, and teamspace workflows. It helps agents reuse existing resources and report verified outcomes.
中文简介正在准备中。当前显示英语简介。
Administer Observal users, settings, submission reviews, identity configuration, and security investigations. Also manage local server upgrades, rollback, and database schema migrations, checking the resulting state and protecting sensitive values throughout privileged operations.
中文简介正在准备中。当前显示英语简介。
Recover missed Observal session deliveries, upgrade or downgrade the command-line tool, and roll back version changes. After specified connection or configuration failures, it can also create local Agent files when explicitly requested.
中文简介正在准备中。当前显示英语简介。
Create and install Observal Agents, edit their definitions, and manage publication and version releases. The skill also supports forking approved Agents, archiving and restoring them, transferring ownership, and managing co-authors.
中文简介正在准备中。当前显示英语简介。
Find, evaluate, and install agent components from Observal, including skills, MCP servers, hooks, and prompts. For components you control, the skill also supports bulk submission, version management, archiving, restoration, ownership transfers, and co-author management.
中文简介正在准备中。当前显示英语简介。
Manage Observal maintainer releases, from creating release branches and backporting fixes to preparing preview and stable versions. Follow the existing release workflow to verify published artifacts, inspect release status, and recover interrupted or failed operations.
中文简介正在准备中。当前显示英语简介。