What makes Que Yin notable?

2.1K downloads. Trust evidence available

How should Que Yin be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Que Yin

负载均衡模块，监控资源状态，调度多任务执行，优化资源分配，生成负载报告。 Skill: Que Yin Owner: lt8899789 Summary: 负载均衡模块，监控资源状态，调度多任务执行，优化资源分配，生成负载报告。 Tags: latest:1.0.35 Version history: v1.0.35 | 2026-05-21T03:06:59.626Z | auto - Updated version number in SKILL.md to 1.0.35. - No functional or documentation changes beyond version metadata. v1.0.34 | 2026-05-20T05:57:47.713Z | auto - Bumped version to 1.0.34 in SKILL.md. - No functional or content changes; documentation update only. v1.0

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.1k

Updated

Oct 9, 2026

Version

1.0.35

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.1K downloads reported by the source. Last updated 10/9/2026.

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 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.1K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.35release · observed May 21, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s179v8xedkc48zhrn16wqqz5ad83h8b8:que-yin

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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-lt8899789-que-yin/snapshot"

Documentation

CLAWHUB

20,374 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
version: 1.0.35
---

# 雀阴·平衡魄 (Que Yin - Balance Keeper)

> **七魄之三·雀阴**
> 职掌：负载均衡、多任务调度、资源分配

---

## 技能简介

「雀阴·平衡魄」是贫道的负载均衡模块，职掌多任务协调与资源分配。

**核心职责**：
- 监控资源使用状态
- 调度多任务执行
- 负载均衡分配

---

## 技能ID

```
que-yin
```

---

## 能力清单

### 1. 资源状态 (status)

查看当前资源使用状态。

**输入**：无

**输出**：
```yaml
resources:
  cpu: cpu使用率
  memory: 内存使用率
  activeTasks: 活跃任务数
  queueLength: 队列长度
```

---

### 2. 任务调度 (schedule)

调度任务分配。

**输入**：`task` (object) - 任务对象

**输出**：
```yaml
schedule:
  assignedTo: 分配的资源
  priority: 优先级
  estimatedWait: 预估等待时间
```

---

### 3. 负载报告 (load_report)

生成负载均衡报告。

**输入**：`period` (number) - 周期（小时）

**输出**：
```yaml
report:
  peakLoad: 峰值负载
  avgLoad: 平均负载
  recommendations: 优化建议
```

---

---

## 聚合技能

本魄作为均衡中枢，调度资源分配：

| 现有技能 | 调用方式 | 整合说明 |
|---------|---------|---------|
| `bodhi-three-hun-and-seven-po` | 元技能 | 三魂七魄根基，协调各魄 |

---

## 魂魄注解

雀阴为枢，调和七魄——均衡分配，高效运转。

_meta.json

{
  "ownerId": "kn73dgmnvtbf8602mkqyyzregd8363st",
  "slug": "que-yin",
  "version": "1.0.35",
  "publishedAt": 1779332819626
}

skill-card.md

## Description:

Que Yin monitors local resource status, schedules tasks, and generates load reports for balancing multi-task workloads.

This skill is ready for commercial/non-commercial use.

## Publisher:

[lt8899789](https://clawhub.ai/user/lt8899789)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and operators use this skill to inspect local CPU and memory status, assign simple task scheduling priority, and produce load reports with resource recommendations.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Running status or report commands can reveal basic local system resource details such as CPU, memory, platform, uptime, and timestamps.

Mitigation: Use only in environments where exposing basic local resource information is acceptable.

Risk: Documentation and generated recommendations are primarily Chinese-language.

Mitigation: Install only where Chinese-language documentation and output can be reviewed accurately.

Risk: Scheduling and load-report values are simple local heuristics and may include simulated queue or peak-load estimates.

Mitigation: Treat scheduling decisions and recommendations as operational guidance that should be reviewed before acting on them.

## Reference(s):

- [Que Yin ClawHub skill page](https://clawhub.ai/lt8899789/skills/que-yin)

## Skill Output:

**Output Type(s):** [text, JSON, shell commands, guidance]

**Output Format:** [JSON objects and command-line text]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Chinese-language documentation and recommendations; status output can include local CPU, memory, platform, uptime, and timestamp details.]

## Skill Version(s):

1.0.35 (source: SKILL.md frontmatter and 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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