Agent Effect Operations
AEO — Agent 效果运营平台。自动发现 Agent 效果漂移、诊断根因、运行 AI 数据闭环工具链,给出 AI 效果优化方案。Measure agent performance, attribute outcomes, track quality trends, optimize cost, and mo... Skill: Agent Effect Operations Owner: yuchangxu1989-openclaw Summary: AEO — Agent 效果运营平台。自动发现 Agent 效果漂移、诊断根因、运行 AI 数据闭环工具链,给出 AI 效果优化方案。Measure agent performance, attribute outcomes, track quality trends, optimize cost, and mo... Tags: latest:0.0.2 Version history: v0.0.2 | 2026-04-19T10:08:46.898Z | user 更新描述至最新项目定位 v0.0.1 | 2026-04-19T04:31:15.972Z | auto Initial release of agent-effect-operations (AEO): - Measure
Rank
62
Safety
84
Downloads
1.3k
Updated
Oct 10, 2026
Version
0.0.2
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.3K downloadsadoption · observed Oct 10, 2026
- Latest release
- 0.0.2release · observed Apr 19, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17a59yf9b9zefwe0avdmbspmh852jzp:agent-effect-operations- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-yuchangxu1989-openclaw-agent-effect-operations/snapshot"
Documentation
CLAWHUB
3,918 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
--- name: agent-effect-operations description: >- AEO — Agent 效果运营平台。自动发现 Agent 效果漂移、诊断根因、运行 AI 数据闭环工具链,给出 AI 效果优化方案。Measure agent performance, attribute outcomes, track quality trends, optimize cost, and monitor SLAs. --- # Agent Effect Operations
_meta.json
{
"ownerId": "kn71kk78dbbgtentzcetv7d1zn8536vd",
"slug": "agent-effect-operations",
"version": "0.0.2",
"publishedAt": 1776593326898
}skill-card.md
## Description: Agent Effect Operations helps teams monitor agent performance, detect quality drift, diagnose root causes, track costs and SLAs, and plan optimization work. This skill is ready for commercial/non-commercial use. ## Publisher: [yuchangxu1989-openclaw](https://clawhub.ai/user/yuchangxu1989-openclaw) ### License/Terms of Use: MIT-0 ## Use Case: Developers and operations teams use this skill to frame agent effectiveness operations work, including performance measurement, outcome attribution, quality trend tracking, cost optimization, and SLA monitoring. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: The release is a minimal descriptive stub, so users may overestimate the operational functionality available from the artifact alone. Mitigation: Confirm required operational components, integrations, and workflows are present before relying on the skill for agent performance operations. ## Reference(s): ## Skill Output: **Output Type(s):** [guidance, markdown, text] **Output Format:** [Markdown or text guidance] **Output Parameters:** [1D] **Other Properties Related to Output:** [The artifact is a descriptive stub and may require additional components to provide operational functionality.] ## Skill Version(s): 0.0.2 (source: server release evidence) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/yuchangxu1989-openclaw/skills/agent-effect-operations",
"sourceUrl": "https://clawhub.ai/yuchangxu1989-openclaw/skills/agent-effect-operations",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T20:11:44.631Z",
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},
{
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},
{
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"sourceUrl": "https://clawhub.ai/yuchangxu1989-openclaw/agent-effect-operations",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T20:11:44.631Z",
"isPublic": true
},
{
"factKey": "latest_release",
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"label": "Latest release",
"value": "0.0.2",
"href": "https://clawhub.ai/yuchangxu1989-openclaw/agent-effect-operations",
"sourceUrl": "https://clawhub.ai/yuchangxu1989-openclaw/agent-effect-operations",
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{
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"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-yuchangxu1989-openclaw-agent-effect-operations/trust",
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"events": [
{
"eventType": "release",
"title": "Release 0.0.2",
"description": "更新描述至最新项目定位",
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"sourceUrl": "https://clawhub.ai/yuchangxu1989-openclaw/agent-effect-operations",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-04-19T10:08:46.898Z",
"isPublic": true
}
]
}Record generated Oct 10, 2026.
