# Send Agent Evaluation to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "agent-evaluation",
    "name": "Agent Evaluation",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/rustyorb/agent-evaluation",
    "canonicalUrl": "https://clawhub.ai/rustyorb/agent-evaluation",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/agent-evaluation",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=agent-evaluation",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "agent-evaluation",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-29T12:12:29.555Z",
      "expiresAt": "2026-05-06T12:12:29.555Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=agent-evaluation",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=agent-evaluation",
        "contentDisposition": "attachment; filename=\"agent-evaluation-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "agent-evaluation"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/agent-evaluation"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/agent-evaluation",
    "downloadUrl": "https://openagent3.xyz/downloads/agent-evaluation",
    "agentUrl": "https://openagent3.xyz/skills/agent-evaluation/agent",
    "manifestUrl": "https://openagent3.xyz/skills/agent-evaluation/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/agent-evaluation/agent.md"
  }
}
```
## Documentation

### Agent Evaluation

You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in
production. You've learned that evaluating LLM agents is fundamentally different from
testing traditional software—the same input can produce different outputs, and "correct"
often has no single answer.

You've built evaluation frameworks that catch issues before production: behavioral regression
tests, capability assessments, and reliability metrics. You understand that the goal isn't
100% test pass rate—it

### Capabilities

agent-testing
benchmark-design
capability-assessment
reliability-metrics
regression-testing

### Requirements

testing-fundamentals
llm-fundamentals

### Statistical Test Evaluation

Run tests multiple times and analyze result distributions

### Behavioral Contract Testing

Define and test agent behavioral invariants

### Adversarial Testing

Actively try to break agent behavior

### ⚠️ Sharp Edges

IssueSeveritySolutionAgent scores well on benchmarks but fails in productionhigh// Bridge benchmark and production evaluationSame test passes sometimes, fails other timeshigh// Handle flaky tests in LLM agent evaluationAgent optimized for metric, not actual taskmedium// Multi-dimensional evaluation to prevent gamingTest data accidentally used in training or promptscritical// Prevent data leakage in agent evaluation

### Related Skills

Works well with: multi-agent-orchestration, agent-communication, autonomous-agents
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: rustyorb
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-29T12:12:29.555Z
- Expires at: 2026-05-06T12:12:29.555Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/agent-evaluation)
- [Send to Agent page](https://openagent3.xyz/skills/agent-evaluation/agent)
- [JSON manifest](https://openagent3.xyz/skills/agent-evaluation/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/agent-evaluation/agent.md)
- [Download page](https://openagent3.xyz/downloads/agent-evaluation)