← Back to Skills Marketplace
Agent Ops Framework
by
bytesagain4
· GitHub ↗
· v8.0.0
· MIT-0
505
Downloads
0
Stars
2
Active Installs
16
Versions
Install in OpenClaw
/install agent-ops-framework
Description
AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluatio...
README (SKILL.md)
Agent Ops Framework
AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics. No API keys or credentials required — outputs reference documentation only.
Commands
| Command | Description |
|---|---|
intro |
Multi-agent architectures, frameworks |
standards |
Output schemas, tool-use, MCP, eval benchmarks |
troubleshooting |
Context overflow, loops, hallucination, rate limits |
performance |
Caching, parallelism, token optimization |
security |
Prompt injection, sandboxing, audit logging |
migration |
Single to multi-agent, prompt to function calling |
cheatsheet |
LangChain, CrewAI, AutoGen APIs, agent patterns |
faq |
When to use agents, costs, framework choice |
Output Format
All commands output plain-text reference documentation via heredoc. No external API calls, no credentials needed, no network access.
Powered by BytesAgain | bytesagain.com | [email protected]
Usage Guidance
This appears to be a documentation/reference skill and is internally consistent. Before installing or executing any included script: (1) inspect scripts/script.sh yourself — it only prints docs here, but you should avoid blindly running shell scripts; (2) be aware the SKILL.md contains prompt-injection examples (expected for security guidance) — these are not active instructions to the agent beyond the documented descriptions; (3) if you allow autonomous invocation, standard caution applies (review outputs before allowing external actions). If you need higher assurance, run the script in an isolated environment or simply use the SKILL.md content without executing any bundled code.
Capability Analysis
Type: OpenClaw Skill
Name: agent-ops-framework
Version: 8.0.0
The 'agent-ops-framework' skill is a documentation-only reference tool providing educational content on AI agent architectures, security, and performance. The implementation in 'scripts/script.sh' consists entirely of static text output via heredocs, with no network access, file system modifications, or credential access.
Capability Assessment
Purpose & Capability
Name/description (agent operations reference) match the included SKILL.md and the helper script which only emits reference text. No unrelated binaries, env vars, or credentials are requested.
Instruction Scope
SKILL.md contains only documentation commands and states there are no external API calls or credentials required. The included script.sh just prints heredoc documentation and does not read files, environment variables, or network endpoints.
Install Mechanism
No install spec (instruction-only), which is low risk. There is a code file (scripts/script.sh) included but no installation or download steps; review before executing but inclusion alone is not inconsistent with the stated purpose.
Credentials
The skill declares no required env vars, no primary credential, and the documentation explicitly states no API keys are needed. There are no unexplained credential requests.
Persistence & Privilege
always is false (no forced presence) and the skill does not request elevated privileges or modify other skills' configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agent-ops-framework - After installation, invoke the skill by name or use
/agent-ops-framework - Provide required inputs per the skill's parameter spec and get structured output
Version History
v8.0.0
Clean package with matching SKILL.md and script
v7.0.0
Complete rewrite with domain knowledge
v6.0.0
Complete rewrite with domain knowledge
v2.0.1
update
v2.0.0
v2.5 standard: Use-when desc, homepage, source, security fix
v2.4.5
old template -> domain-specific v2.0.0
v2.4.4
old template -> domain-specific v2.0.0
v2.4.3
Quality upgrade
v2.4.2
Quality upgrade: custom functionality
v2.4.1
De-template, unique content, script cleanup
v2.4.0
Fixed: aligned documentation with implementation, added missing commands
v2.3.0
Quality fixes: aligned docs with implementation
v2.2.0
Enhanced descriptions for better AI triggering
v1.0.1
Add runtime declaration + security compliance
v0.0.1
c
v1.0.0
Initial release of Agent Ops Framework—production-grade multi-agent orchestration for OpenClaw projects.
- Define agent roles, task pipelines, quality gates, and centralized monitoring dashboards
- Structured handoffs with context passing and a single JSON state store as the source of truth
- Features quota/budget management, alerting, rollback, cron-based monitoring, and human-in-the-loop approvals
- CLI toolkit for initializing projects, registering agents, creating and moving tasks, dashboard reporting, and monitoring
- Clear task lifecycle and audit trail, with built-in quality enforcement and quota tracking
Metadata
Frequently Asked Questions
What is Agent Ops Framework?
AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluatio... It is an AI Agent Skill for Claude Code / OpenClaw, with 505 downloads so far.
How do I install Agent Ops Framework?
Run "/install agent-ops-framework" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Agent Ops Framework free?
Yes, Agent Ops Framework is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Agent Ops Framework support?
Agent Ops Framework is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Agent Ops Framework?
It is built and maintained by bytesagain4 (@xueyetianya); the current version is v8.0.0.
More Skills