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在 OpenClaw 中安装
/install tech-evaluation
功能描述
技术/产品选型分析。当用户提到"选型"、"对比"、"比较"、"哪个好"、"推荐"、"evaluate"、"选哪个"、"技术选型"、"产品选型"、"方案对比"时激活。 输入可以是：自然语言需求、产品名、官网/GH链接、使用场景、技术约束、报错信息、零散想法。 输出：一句话结论 → 需求提取 → 产品解析 → 同类盘...
安全使用建议
This skill is internally coherent and appears to simply instruct the agent how to perform tech/product evaluations using web research. Before installing, confirm your agent environment's web access policy: the skill expects to fetch pages and call public APIs (e.g., GitHub). Be prepared to (a) deny or limit network access if you don't want external web queries, and (b) avoid providing any credentials (GitHub tokens or private repo access) unless you explicitly intend the agent to use them. If you require an offline-only evaluator, do not enable browser_navigate/execute_code capabilities for the agent while using this skill. If you see any request from the skill to supply secrets or to download and run binaries later, treat that as a red flag and re-evaluate.
功能分析
Type: OpenClaw Skill
Name: tech-evaluation
Version: 1.0.0
The skill bundle is a structured prompt designed to guide an AI agent in performing technical product evaluations and comparisons. It outlines a comprehensive 7-step methodology for requirement extraction, competitor analysis, and decision-making, utilizing standard agent capabilities like web browsing and GitHub API calls (via execute_code) for research purposes. No malicious patterns, data exfiltration attempts, or harmful prompt injection instructions were found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name, description and the runtime instructions all focus on product/technology evaluation and research. The SKILL.md's recommended actions (extract requirements, analyze products, call GitHub REST API or browse pages to gather evidence) are coherent with doing a comparative evaluation; nothing requested (no env vars, no binaries, no installs) appears unrelated to that purpose.
Instruction Scope
The instructions explicitly tell the agent to perform web research (execute_code calls to GitHub REST API and browser_navigate snapshots) and to run searches in parallel. This is appropriate for a research-oriented skill, but it does mean the skill expects the agent to make outbound web requests. The SKILL.md does not instruct reading local files, environment secrets or unrelated system paths, nor does it direct data to unexpected external endpoints beyond public GitHub and web pages.
Install Mechanism
There is no install spec and no code files; the skill is instruction-only. That minimizes on-disk risk and unexpected installs.
Credentials
The skill requires no environment variables or credentials. One small operational note: the guidance suggests calling the GitHub REST API via execute_code; if the agent environment requires a GitHub token for higher rate limits or private-repo access, the SKILL.md does not declare or request that credential. That omission is not malicious, but users should be aware the agent may attempt unauthenticated web/API queries.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or write to other skills' configs. Autonomous invocation is enabled (platform default) but is not combined with other concerning flags.
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 tech-evaluation - 安装完成后，直接呼叫该 Skill 的名称或使用
/tech-evaluation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
tech-evaluation 1.0.0
- First release: 技术/产品选型分析与决策流程上线。
- 支持随意自然语言输入，自动提取需求信息并结构化整理。
- 7步标准流程：需求梳理、产品解读、竞品盘点、多维度比较、评分决策、结论输出、行动建议。
- 输出严格按“一句话结论→需求梳理→解读/对比/评分→具体选型建议→行动清单”格式。
- 支持核心关键词智能激活，适配各类技术/产品选型场景。
- 内置多种信息收集和竞品筛选技巧，即使部分检索条件受限也能给出决策流程。
元数据
常见问题
tech-evaluation 是什么？
技术/产品选型分析。当用户提到"选型"、"对比"、"比较"、"哪个好"、"推荐"、"evaluate"、"选哪个"、"技术选型"、"产品选型"、"方案对比"时激活。 输入可以是：自然语言需求、产品名、官网/GH链接、使用场景、技术约束、报错信息、零散想法。 输出：一句话结论 → 需求提取 → 产品解析 → 同类盘... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 82 次。
如何安装 tech-evaluation？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tech-evaluation」即可一键安装，无需额外配置。
tech-evaluation 是免费的吗？
是的，tech-evaluation 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
tech-evaluation 支持哪些平台？
tech-evaluation 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 tech-evaluation？
由 sid（@ambition0802）开发并维护，当前版本 v1.0.0。
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