# bounty-api

> bounty-api — vncentwonggg-bounty-api. Use this tool when you need to manage and automate bounty programs, track submissions, and reward contributors. The bounty-api solves problems related to incentivizing community engagement, crowdsourcing solutions, and streamlining reward distribution. It accepts inputs such as submission data and bounty rules, and outputs reward allocations and program metrics.

Canonical page: https://skillsregistry.net/skills/vncentwonggg-bounty-api  
JSON: https://api.skillsregistry.net/v1/skills/vncentwonggg-bounty-api

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/vncentwonggg/bounty-api)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vncentwonggg-bounty-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vncentwonggg-bounty-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vncentwonggg-bounty-api/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt