← 返回 Skills 市场
Observability Slos
作者
mikeclaw007
· GitHub ↗
· v1.0.0
· MIT-0
145
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install observability-slos
功能描述
Deep SLO/SLI workflow—user-centric SLIs, SLO targets and windows, error budgets, multi-window burn alerts, and policy when budget is exhausted. Use when defi...
安全使用建议
This skill appears low-risk and coherent — it's a playbook for SLO work rather than code that touches your systems. Before installing or allowing an agent to act on it, ensure you do not grant the agent unrestricted access to your monitoring/production credentials: if the agent will query metrics or vendor APIs, provide scoped, read-only keys or a staging dataset. Also review any automated actions (alerts, runbook triggers) you plan to wire up so they don't page production unexpectedly.
功能分析
Type: OpenClaw Skill
Name: observability-slos
Version: 1.0.0
The skill bundle contains only documentation and procedural guidance for an AI agent to assist users with Service Level Objective (SLO) and Service Level Indicator (SLI) workflows. There is no executable code, no network activity, and no instructions that attempt to exfiltrate data or subvert the agent's security boundaries in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The name and description match the SKILL.md: it provides a 6-stage SLO/SLI workflow. There are no unrelated required binaries, env vars, or config paths that don't belong to this purpose.
Instruction Scope
Runtime instructions are procedural guidance (pick journeys, define SLIs, set targets, alerting policy, etc.). They do not instruct the agent to read system files, access environment variables, install software, or transmit data to unexpected endpoints. The only external action implied is to 'confirm metric stack and dependency SLOs from vendors', which is reasonable for the workflow and not prescriptive about credentials or endpoints.
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be written to disk or downloaded by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does not request access to unrelated services.
Persistence & Privilege
always:false and default invocation settings. The skill does not request permanent presence or configuration changes to other skills; it does not require elevated platform privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install observability-slos - 安装完成后，直接呼叫该 Skill 的名称或使用
/observability-slos触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of the observability-slos skill with a deep, user-centric SLO/SLI workflow.
- Guides users through six structured stages: selecting user journeys, defining SLIs, setting SLO targets and windows, establishing error budget policy, configuring burn-rate alerting, and continuous review.
- Emphasizes actionable output, practical exit conditions, and alignment between engineering and product.
- Includes a final review checklist, real-world tips, and deviation handling for systems without metrics or with batch processing.
元数据
常见问题
Observability Slos 是什么？
Deep SLO/SLI workflow—user-centric SLIs, SLO targets and windows, error budgets, multi-window burn alerts, and policy when budget is exhausted. Use when defi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 145 次。
如何安装 Observability Slos？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install observability-slos」即可一键安装，无需额外配置。
Observability Slos 是免费的吗？
是的，Observability Slos 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Observability Slos 支持哪些平台？
Observability Slos 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Observability Slos？
由 mikeclaw007（@mikeclaw007）开发并维护，当前版本 v1.0.0。
推荐 Skills