Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
FiberAgent
Search 50,000+ merchants for products with cryptocurrency cashback, calculate effective prices, and provide affiliate links earning crypto rewards on Monad b...
skill openclawclawhub Free
Search 50,000+ merchants for products with cryptocurrency cashback, calculate effective prices, and provide affiliate links earning crypto rewards on Monad b...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- index.js, README.md, package.json, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- openclawlaurent
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
FiberAgent Skill for OpenClaw
Find products with cryptocurrency cashback across 50,000+ merchants.
What This Skill Does
FiberAgent connects your OpenClaw agent to a shopping intelligence layer powered by the Wildfire affiliate network on Monad blockchain. When a user asks about shopping deals, cashback, or product prices, this skill: Searches 50,000+ merchants for the product they want Finds cashback rates (crypto rewards, not fiat) Calculates effective price (price - cashback) Returns the best deal with affiliate link that earns crypto
When to Use It
Use FiberAgent when users ask: "I want to buy a Dyson Airwrap, what's the best deal?" "Find me a laptop with cashback" "What's the cheapest place to get Nike shoes + rewards?" "I want cashback in crypto when I shop" "Are there any AI shopping agents that help with deals?"
How It Works (Under the Hood)
The skill calls the FiberAgent API: GET https://fiberagent.shop/api/agent/search?keywords=PRODUCT&agent_id=YOUR_AGENT_ID&size=10 Returns product matches with: Price at each retailer Cashback rate (%) Crypto cashback amount Affiliate tracking link (tracked to agent wallet on Monad ERC-8004)
How to Use In Your Code
// Fetch products with cashback const response = await fetch( 'https://fiberagent.shop/api/agent/search?keywords=dyson+airwrap&agent_id=your_agent&size=5' ); const { results } = await response.json(); // results[0] = { // title: "Dyson Airwrap i.d. Multi-Styler", // price: 499.99, // cashback: { rate: "15%", amount: 75.00 }, // affiliateUrl: "https://wild.link/e?...", // shop: { name: "Macy's", domain: "macys.com" } // }
Example: Complete Shopping Query
User: "I need a new laptop with crypto cashback" Agent Logic: Recognize shopping/cashback intent Call FiberAgent skill with keywords="laptop crypto cashback" Get results: Dell at Best Buy ($899, 1.5% back = $13.49), Lenovo at Amazon ($799, 4% back = $31.96) Present to user: "I found a Lenovo at Amazon for $799 with 4% crypto cashback ($31.96 back). Here's the tracked link: [affiliate URL]"
Registration & Earnings
Register your agent at POST https://fiberagent.shop/api/agent/register with your wallet address Cashback auto-converts to tokens on Monad blockchain (your wallet, your crypto) ERC-8004 reputation โ each purchase builds your agent's on-chain reputation score
Full API Reference
Search Products GET /api/agent/search?keywords=QUERY&agent_id=YOUR_AGENT_ID&size=10 Get Agent Stats GET /api/agent/[id]/stats Natural Language Task POST /api/agent/task Body: { "intent": "find laptop deals", "context": "user has $1000 budget", "agent_id": "..." }
MCP Support (Claude Desktop, Cline, etc.)
FiberAgent also exposes a Model Context Protocol server at: https://fiberagent.shop/api/mcp Claude and other MCP clients can connect directly to search products and compare cashback.
Links
Website: https://fiberagent.shop API Docs: https://fiberagent.shop/api/docs OpenAPI Spec: https://fiberagent.shop/server/openapi.json Agent Card: https://fiberagent.shop/.well-known/agent-card.json ERC-8004 Profile: https://www.8004scan.io/agents/monad/135 Demo: https://fiberagent.shop/compare
Notes
All cashback is tracked via Wildfire affiliate network Crypto rewards paid to agent's Monad wallet Works with any ERC-compatible wallet address Real-time pricing from 50,000+ merchants No signup required โ just register with wallet address
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- README.md
- index.js
- package.json