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Observability Slos
by
mikeclaw007
· GitHub ↗
· v1.0.0
· MIT-0
145
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0
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Active Installs
1
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Install in OpenClaw
/install observability-slos
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install observability-slos - After installation, invoke the skill by name or use
/observability-slos - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Observability Slos?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 145 downloads so far.
How do I install Observability Slos?
Run "/install observability-slos" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Observability Slos free?
Yes, Observability Slos is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Observability Slos support?
Observability Slos is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Observability Slos?
It is built and maintained by mikeclaw007 (@mikeclaw007); the current version is v1.0.0.
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