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Selva
by
João Bonchristiano
· GitHub ↗
· v1.0.0
290
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0
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1
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Install in OpenClaw
/install selva
Description
Shopping platform for AI agents
Usage Guidance
This skill appears to do what it claims: it stores a Selva API key at ~/selva/config.json, calls the Selva API (default https://api.useselva.com), and tokenizes card details directly with Stripe (https://api.stripe.com/v1/tokens). Before installing or using: confirm you trust the external API host (api.useselva.com), avoid entering real card data in untrusted contexts (use the web settings page to link a card if you prefer), and be aware the CLI stores an API key in your home directory. There are no hidden network endpoints or unrelated credential requests in the package.
Capability Analysis
Type: OpenClaw Skill
Name: selva
Version: 1.0.0
The Selva skill bundle is a functional shopping CLI designed for AI agents to search and purchase products via the api.useselva.com platform. It follows security best practices for payment processing by using Stripe tokenization (src/stripe.ts) to ensure raw credit card details are exchanged for tokens before being sent to the application backend. The instructions in SKILL.md are focused on user experience and task completion, and the code lacks any indicators of data exfiltration, unauthorized persistence, or malicious intent.
Capability Assessment
Purpose & Capability
Name/description (shopping platform for AI agents) aligns with the code and SKILL.md: search, details, buy, orders, settings. Providers include amazon (and shopify in types), which matches the stated capability. Stripe use for tokenization is proportional to the 'buy' feature.
Instruction Scope
SKILL.md instructs running selva-cli commands and to store an API key locally. The instructions do not ask the agent to read unrelated files or secrets. Card tokenization is handled via Stripe as documented; the SKILL.md and code consistently state card details are not sent to Selva API.
Install Mechanism
There is no install spec (instruction-only), lowering install risk. Code files are present but no remote downloads or unusual installers are specified. package.json lists normal deps (commander, zod) and dev deps; nothing disproportionate or obscure is pulled from arbitrary URLs.
Credentials
The skill declares no required env vars or credentials. It reads/writes a local config file for an API key and uses network calls to api.useselva.com and stripe's token endpoint — both are necessary for the stated behavior. No unrelated service credentials are requested.
Persistence & Privilege
The CLI writes its own config to ~/selva/config.json (apiKey). This is expected and scoped to the skill. always is false and the skill does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install selva - After installation, invoke the skill by name or use
/selva - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Selva 1.0.0 – Initial release
- Launches a shopping platform for AI agents to search, compare, and buy products from Amazon.
- Offers concise, human-like messaging for product search, guidance, and purchases.
- Supports user profile and payment setup, order management, and natural follow-up prompts.
- Presents search results with images, prices, ratings, delivery details, and easy checkout flow.
- Provides CLI commands for registering, searching, buying, and managing user/account settings.
Metadata
Frequently Asked Questions
What is Selva?
Shopping platform for AI agents. It is an AI Agent Skill for Claude Code / OpenClaw, with 290 downloads so far.
How do I install Selva?
Run "/install selva" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Selva free?
Yes, Selva is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Selva support?
Selva is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Selva?
It is built and maintained by João Bonchristiano (@jpbonch); the current version is v1.0.0.
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