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openclawlaurent

FiberAgent

by openclawlaurent · GitHub ↗ · v1.0.1
cross-platform ⚠ suspicious
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Install in OpenClaw
/install fiberagent
Description
Search 50,000+ merchants for products with cryptocurrency cashback, calculate effective prices, and provide affiliate links earning crypto rewards on Monad b...
README (SKILL.md)

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:

  1. Searches 50,000+ merchants for the product they want
  2. Finds cashback rates (crypto rewards, not fiat)
  3. Calculates effective price (price - cashback)
  4. 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:

  1. Recognize shopping/cashback intent
  2. Call FiberAgent skill with keywords="laptop crypto cashback"
  3. Get results: Dell at Best Buy ($899, 1.5% back = $13.49), Lenovo at Amazon ($799, 4% back = $31.96)
  4. 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 — 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

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 — just register with wallet address
Usage Guidance
This skill appears to do what it says: it forwards user search queries and an agent/wallet identifier to fiberagent.shop and returns affiliate links with crypto cashback. Before installing: (1) confirm you trust https://fiberagent.shop and its operator (review the linked GitHub repo and site), (2) do not provide private keys or other secrets — only supply a public wallet address for earnings, (3) be aware that user queries will be sent to an external service (privacy consideration), and (4) if you want to limit exposure, use a dedicated or throwaway wallet address for agent earnings and avoid storing sensitive secrets in your OpenClaw config file.
Capability Analysis
Type: OpenClaw Skill Name: fiberagent Version: 1.0.1 The skill's core functionality aligns with its stated purpose of finding products with crypto cashback via the fiberagent.shop API. However, the `index.js` file exhibits a lack of robust input sanitization for URL construction. Specifically, the `agent_id` parameter in `search_products` and `get_agent_stats`, and the `size` parameter in `search_products`, are directly interpolated into the URL string without proper URL encoding. This creates a vulnerability where a malicious or malformed `agent_id` or `size` could lead to URL parameter injection or path traversal attempts against the `fiberagent.shop` API, potentially allowing an attacker to probe or manipulate the API if they can control the input to these skill functions. While not indicative of intentional malice by the skill itself, this is a significant vulnerability.
Capability Assessment
Purpose & Capability
Name/description match the delivered functionality: the skill wraps calls to https://fiberagent.shop to search products, register an agent, and fetch stats. It does not request unrelated credentials or binaries. One minor note: the README suggests adding your agentId/wallet to ~/.openclaw/openclaw.json (a user config path) — that is a recommended configuration step, not a hidden requirement.
Instruction Scope
SKILL.md instructs the agent to send user search keywords and agent_id/wallet address to fiberagent.shop endpoints (search, register, stats, MCP). This is expected for a shopping/affiliate skill, but it means user queries and the wallet address will be transmitted to an external service; the instructions do not attempt to read local secrets or unrelated files.
Install Mechanism
There is no automated install spec (instruction-only install). The README gives local install instructions (copy skill into ~/.openclaw/workspace/skills) which is normal for OpenClaw. No remote downloads or archive extraction are performed by the skill itself.
Credentials
The skill declares no required environment variables or credentials. It asks the user to provide an agent ID and wallet address for registration/earnings, which is proportional to its affiliate payment purpose. It does not request private keys or unrelated tokens; however, storing a wallet address in a config file is recommended in docs and users should avoid storing private keys or secrets there.
Persistence & Privilege
always:false and the skill does not request elevated platform privileges. The README suggests enabling the skill in the user's OpenClaw config but does not attempt to modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but that is appropriate for this kind of tool.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install fiberagent
  3. After installation, invoke the skill by name or use /fiberagent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Initial release - FiberAgent OpenClaw skill for shopping with crypto cashback
Metadata
Slug fiberagent
Version 1.0.1
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is FiberAgent?

Search 50,000+ merchants for products with cryptocurrency cashback, calculate effective prices, and provide affiliate links earning crypto rewards on Monad b... It is an AI Agent Skill for Claude Code / OpenClaw, with 509 downloads so far.

How do I install FiberAgent?

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

Is FiberAgent free?

Yes, FiberAgent is completely free (open-source). You can download, install and use it at no cost.

Which platforms does FiberAgent support?

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

Who created FiberAgent?

It is built and maintained by openclawlaurent (@openclawlaurent); the current version is v1.0.1.

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