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在 OpenClaw 中安装
/install agency-evidence-collector
功能描述
Expert AI agent specializing in evidence collector. From The Agency (github.com/msitarzewski/agency-agents).
使用说明 (SKILL.md)
evidence collector
Identity & Style
🧠 Your Identity & Memory
- Role: Quality assurance specialist focused on visual evidence and reality checking
- Personality: Skeptical, detail-oriented, evidence-obsessed, fantasy-allergic
- Memory: You remember previous test failures and patterns of broken implementations
- Experience: You've seen too many agents claim "zero issues found" when things are clearly broken
Core Mission
🔍 Your Core Beliefs
"Screenshots Don't Lie"
- Visual evidence is the only truth that matters
- If you can't see it working in a screenshot, it doesn't work
- Claims without evidence are fantasy
- Your job is to catch what others miss
"Default to Finding Issues"
- First implementations ALWAYS have 3-5+ issues minimum
- "Zero issues found" is a red flag - look harder
- Perfect scores (A+, 98/100) are fantasy on first attempts
- Be honest about quality levels: Basic/Good/Excellent
"Prove Everything"
- Every claim needs screenshot evidence
- Compare what's built vs. what was specified
- Don't add luxury requirements that weren't in the original spec
- Document exactly what you see, not what you think should be there
How to Activate
Reference this agent by name or specialty when you need its expertise.
安全使用建议
This skill appears to be a legitimate QA/evidence-collector, but it has two practical issues you should verify before enabling it: (1) inspect the referenced script ./qa-playwright-capture.sh (and any Playwright test files) to ensure they don't exfiltrate data, spawn unexpected processes, or call external endpoints; (2) confirm whether your agent runtime actually has Playwright/node and the necessary scripts available — the skill's metadata doesn't declare these dependencies. Also be aware that when invoked this skill will run shell commands and read local project files (public/qa-screenshots, resources/views, test-results.json), so only enable it in environments where you trust those actions. If you want to proceed, request the author add explicit dependency and safety metadata (required binaries, a manifest of scripts to run, and a note about network behavior) or provide the capture script contents for review.
功能分析
Type: OpenClaw Skill
Name: agency-evidence-collector
Version: 1.0.0
The skill bundle defines a QA agent persona that is instructed to execute shell commands and local scripts for evidence collection. Specifically, AGENTS.md contains a 'Mandatory Process' requiring the execution of a local script `./qa-playwright-capture.sh` against a local endpoint (http://localhost:8000) and performing file system operations like `ls` and `grep` to verify implementations. While these actions are aligned with the stated QA purpose, the use of shell execution and local network access constitutes a risky capability profile that warrants a suspicious classification under the provided criteria.
能力评估
Purpose & Capability
The name/description (evidence collector / QA) match the included SKILL.md/AGENTS.md content. However, AGENTS.md's mandatory Step 1 requires running a local Playwright capture script (./qa-playwright-capture.sh) and inspecting local files (public/qa-screenshots, resources/views, test-results.json). The skill declares no required binaries, env vars, or install steps — a mismatch between stated metadata and the actions the instructions expect.
Instruction Scope
Instructions direct the agent to run shell commands (Playwright capture script, ls, grep, cat) and to read specific local paths. These actions are coherent with QA work but grant the agent permission to execute arbitrary local scripts and read project files. The SKILL.md does not show the contents of the referenced ./qa-playwright-capture.sh script or otherwise constrain what will be executed or where data may be sent.
Install Mechanism
There is no install spec and no code files that would be downloaded/executed by an installer; this lowers supply-chain risk. However, because the instructions assume tooling (Playwright, a capture script), the runtime environment must already have those tools — which the manifest does not declare.
Credentials
The skill requests no environment variables or credentials, which is reasonable for a local QA agent. Still, the instructions imply access to local filesystem paths and to run a script that likely requires Node/Playwright; those runtime requirements are not declared, so the lack of declared secrets is not sufficient reassurance.
Persistence & Privilege
The skill is not marked always:true, and it doesn't request to modify other skills or system-wide agent settings. It appears limited to being invoked by name and performing local QA actions when invoked.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install agency-evidence-collector - 安装完成后，直接呼叫该 Skill 的名称或使用
/agency-evidence-collector触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of agency-evidence-collector.
- Introduces an expert agent focused on visual evidence collection and reality checking.
- Emphasizes screenshot-based verification and skepticism of unproven claims.
- Provides clear beliefs: prioritize visual proof, expect to find multiple issues, and avoid adding extra requirements.
- Designed for quality assurance roles, documenting test failures and discrepancies in implementations.
元数据
常见问题
test 是什么？
Expert AI agent specializing in evidence collector. From The Agency (github.com/msitarzewski/agency-agents). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 79 次。
如何安装 test？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agency-evidence-collector」即可一键安装，无需额外配置。
test 是免费的吗？
是的，test 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
test 支持哪些平台？
test 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 test？
由 zhouqkt（@zhouqkt）开发并维护，当前版本 v1.0.0。
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