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Find 1.0.0

Name: Find 1.0.0
Author: zhangyingzhuangk

by zhangyingzhuangk · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ Security Clean

130

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Install in OpenClaw

/install find-1-0-0

Description

Locate anything with progressive search expansion, multi-source validation, and iterative refinement until found.

README (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.

Usage Guidance

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.

Capability Analysis

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.

Capability Assessment

✓ 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.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install find-1-0-0
After installation, invoke the skill by name or use /find-1-0-0
Provide required inputs per the skill's parameter spec and get structured output

Version History

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.

Metadata

Slug find-1-0-0

Version 1.0.0

License MIT-0

All-time Installs 1

Active Installs 1

Total Versions 1

Frequently Asked Questions

What is Find 1.0.0?

Locate anything with progressive search expansion, multi-source validation, and iterative refinement until found. It is an AI Agent Skill for Claude Code / OpenClaw, with 130 downloads so far.

How do I install Find 1.0.0?

Run "/install find-1-0-0" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Find 1.0.0 free?

Yes, Find 1.0.0 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Find 1.0.0 support?

Find 1.0.0 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Find 1.0.0?

It is built and maintained by zhangyingzhuangk (@zhangyingzhuangk); the current version is v1.0.0.

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