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Find 1.0.0
作者
zhangyingzhuangk
· GitHub ↗
· v1.0.0
· MIT-0
130
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install find-1-0-0
功能描述
Locate anything with progressive search expansion, multi-source validation, and iterative refinement until found.
使用说明 (SKILL.md)
Pattern
Need → Clarify → Search → Validate → [Found? Deliver : Expand]
Keep searching until found or exhausted. Start narrow, expand progressively. Validate before delivering.
When to Use
- User needs to find something specific
- Location or source is unknown
- "Find me...", "Where can I get...", "I need to find..."
Not for: Things you already know, simple lookups, browsing.
Setup
Before searching, clarify:
| Element | Why |
|---|---|
| What exactly? | Avoid finding wrong thing |
| Success criteria | How will we know it's right? |
| Constraints | Budget, location, time, format |
| Already tried? | Don't repeat failed paths |
If user is vague → ask ONE clarifying question, then start.
Search Expansion
Start narrow, expand if not found:
1. Obvious sources → Direct lookup, known locations
2. Specialized sources → Domain-specific databases, expert communities
3. Alternative queries → Different words, related concepts
4. Indirect paths → Who would know? What links to this?
5. Ask human → More context, different angle
Each expansion: try multiple sources in parallel when possible.
Validation
Before delivering, verify:
- Is this actually what was asked for?
- Is the source reliable?
- Is it current/valid?
- Any caveats user should know?
If uncertain → say so. "Found X but not 100% sure it's what you need."
Delivery
FOUND: [what]
WHERE: [source]
CONFIDENCE: [high/medium/low]
CAVEATS: [if any]
If multiple results: summarize and let user choose.
Not Found
If exhausted all paths:
- Report what was tried
- Closest alternatives found
- Suggest different approach or more context needed
Related: For iterating until success criteria are met, see loop. For multi-phase workflows, see cycle.
安全使用建议
This skill is a strategy template (no code, no secrets) and appears safe and coherent. Before installing, confirm how your agent platform will perform searches (does it have web access, browsing, or connectors?) because the skill's usefulness depends on those capabilities. Also avoid using it to locate or retrieve sensitive secrets or private account credentials — the instructions could cause the agent to query external services, and any data sent will follow your platform's policies. If you need stronger guarantees about privacy or allowed endpoints, check the agent's browsing/connectors permissions or restrict the skill's use to non-sensitive queries.
功能分析
Type: OpenClaw Skill
Name: find-1-0-0
Version: 1.0.0
The skill bundle contains only metadata and procedural instructions (SKILL.md) for an AI agent to perform iterative searches. It lacks executable code, network requests, or any instructions that suggest data exfiltration, persistence, or unauthorized access.
能力评估
Purpose & Capability
The name/description match the SKILL.md instructions (progressive search, validation, iterative expansion). There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
Instructions are limited to clarifying, searching multiple sources, validating results, and reporting findings. The doc does not instruct the agent to read local files, access unrelated credentials, or transmit data to unknown endpoints. One operational note: the guidance to "try multiple sources in parallel" assumes the agent has network/web-access capabilities provided by the platform.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk or pulled from external URLs.
Credentials
The skill declares no required environment variables, credentials, or config paths; this is proportional for a search-strategy instruction set.
Persistence & Privilege
The skill does not request always-on presence and uses default invocation settings. It does not request modification of other skills or system-wide config.
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 find-1-0-0 - 安装完成后，直接呼叫该 Skill 的名称或使用
/find-1-0-0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 the Find skill – systematic, iterative search process.
- Provides a step-by-step pattern for finding specific information or items, starting narrow and expanding search as needed.
- Emphasizes clarifying the user's needs and constraints before searching.
- Outlines progressive search expansion: from obvious to indirect sources, with validation at each step.
- Includes guidance for delivering results with confidence level and caveats.
- Specifies actions when nothing is found, including reporting attempts and suggesting next steps.
元数据
常见问题
Find 1.0.0 是什么？
Locate anything with progressive search expansion, multi-source validation, and iterative refinement until found. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 130 次。
如何安装 Find 1.0.0？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install find-1-0-0」即可一键安装，无需额外配置。
Find 1.0.0 是免费的吗？
是的，Find 1.0.0 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Find 1.0.0 支持哪些平台？
Find 1.0.0 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 Find 1.0.0？
由 zhangyingzhuangk（@zhangyingzhuangk）开发并维护，当前版本 v1.0.0。
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