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santosparra651-arch

Algora Bounty Assistan

by santosparra651-arch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install algora-bounty-assistant
Description
Automatically search for low-competition GitHub bounty tasks (comments < 5) and generate a clean report with details and estimated difficulty.
README (SKILL.md)

GitHub Bounty Hunter 🎯💰

Automatically find low-competition bounty tasks on GitHub. Filter by number of comments to avoid crowded bounties and maximize your chance of getting accepted.

Features

  • 🔍 Search open bounties with label:bounty and state:open
  • 🎯 Low-competition filter - only shows bounties with \x3C N comments (default 5)
  • 📊 Generate clean report with title, URL, comment count, difficulty estimation
  • Fast search via GitHub API
  • 🎨 Sorted by competition level - least competition first

Installation

npx clawhub install github-bounty-hunter

Usage

Search for low-competition bounties:

npx github-bounty-hunter

Customize maximum comment count:

npx github-bounty-hunter 3

Output example:

=========================================
  GitHub Bounty Hunter - Search Results
=========================================

Found 5 low-competition bounties:

👉 Add transaction history page
   URL: `https://github.com/example/project/issues/6` 
   💬 Comments: 2 | 💪 Difficulty: Beginner

👉 FAQ & How It Works Page
   URL: `https://github.com/example/project/issues/264` 
   💬 Comments: 1 | 💪 Difficulty: Beginner

...

Requirements

  • Node.js 16+
  • GitHub API access (authenticated for higher rate limits)

How it works

This skill uses the GitHub Search API to find open issues with the bounty label, filters by comment count, sorts by least comments first, and outputs a clean report ready for you to pick your next bounty.

Perfect for:

  • Beginners looking for easy bounties
  • Bounty hunters who want less competition
  • Daily quick scans for new opportunities

Changelog

1.0.0

  • Initial release
  • Basic search and filtering
  • Report generation
Usage Guidance
This skill appears coherent and limited to querying the public GitHub Search API and printing results. Before installing: (1) review the small scripts yourself (they are included and readable); (2) if you provide a GITHUB_TOKEN for better rate limits, use a least-privilege token and do not expose long-lived personal tokens unnecessarily; (3) be aware that running code via npx will execute the package's scripts — run in a safe environment if you don't trust the publisher; (4) confirm the publisher/owner if provenance matters (no homepage or recognizable author is provided). Overall the footprint is small and proportional to the stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: algora-bounty-assistant Version: 1.0.0 The skill bundle is a legitimate tool for searching and analyzing GitHub bounty issues. The scripts (scripts/search.js and scripts/analyze.js) use the standard Node.js https module to query the public GitHub API and output formatted reports to the console. There is no evidence of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description match the included scripts: both search and analyze scripts call the GitHub Search API for issues labeled 'bounty' and generate reports. No unrelated binaries, credentials, or services are requested.
Instruction Scope
SKILL.md and the scripts limit behavior to querying api.github.com and printing reports. The README suggests authenticated GitHub API access for higher rate limits, but the package does not declare any required env vars (e.g., GITHUB_TOKEN) nor do the scripts read env vars — this is a minor mismatch but not malicious. The instructions do not ask the agent to read local files or send data to unexpected endpoints.
Install Mechanism
There is no install spec in the registry entry (instruction-only skill). The repository includes package.json and small scripts; there are no downloads from unknown URLs or extract steps. Running via npx would execute the included script behavior — expected for a CLI tool.
Credentials
The skill requests no environment variables or credentials. Its functionality (GitHub Search API) can work unauthenticated but with strict rate limits; the SKILL.md's suggestion to authenticate is reasonable but optional. No unrelated secrets are requested.
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system configs, and has no elevated persistence or privilege requests.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install algora-bounty-assistant
  3. After installation, invoke the skill by name or use /algora-bounty-assistant
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
github-bounty-hunter 1.0.0 - Initial release - Search open bounty issues on GitHub and filter by number of comments - Generate a clean report with title, URL, comment count, and estimated difficulty - Sort bounties by lowest competition first - Supports comment count customization and fast API search
Metadata
Slug algora-bounty-assistant
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Algora Bounty Assistan?

Automatically search for low-competition GitHub bounty tasks (comments < 5) and generate a clean report with details and estimated difficulty. It is an AI Agent Skill for Claude Code / OpenClaw, with 155 downloads so far.

How do I install Algora Bounty Assistan?

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

Is Algora Bounty Assistan free?

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

Which platforms does Algora Bounty Assistan support?

Algora Bounty Assistan is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Algora Bounty Assistan?

It is built and maintained by santosparra651-arch (@santosparra651-arch); the current version is v1.0.0.

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