Oss Bounty Finder logo

Oss Bounty Finder

OrganizationPopular
tinyfish-io
oss-bounty-finder

Find paid open-source work, OSS bounties, open source grants, or ways to get paid contributing to open source. Use when someone asks any of the following — "find me paid open source work", "show me OSS bounties for Rust", "how do I get paid for open source", "find GitHub bounties", "are there any open source grants I can apply to", "find bounties for Python developers", "show me open source funding opportunities", "what repos are paying for contributions", "find me issues with bounties", "show me open source stipends", "find developer grants", "show me NLNet grants", "GSoC alternatives", "paid open source issues". Accepts a stack (Rust, Python, Go, TypeScript, etc.) and optional keywords. Runs a 3-tier parallel TinyFish agent system; Tier 1 scrapes Algora and IssueHunt, Tier 2 fans out across awesome-list repos checking for bounty-labelled issues, Tier 3 scrapes NLNet, Sovereign Tech Fund, Mozilla MOSS, LFX Mentorship, GSoC, and Outreachy.

Overview

Publishertinyfish-io
Repositorytinyfish-cookbook
Skill nameoss-bounty-finder
Stars
2.2K
Forks
333
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tinyfish-io on GitHub. Read the source before you install it.

Installation

Install the Oss Bounty Finder AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tinyfish-io/tinyfish-cookbook.git /tmp/tinyfish-cookbook
mkdir -p .claude/skills
cp -r /tmp/tinyfish-cookbook/skills/oss-bounty-finder .claude/skills/oss-bounty-finder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oss Bounty Finder in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Oss Bounty Finder on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Oss Bounty Finder is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OSS Bounty & Grant Finder — Find Paid Open Source Work

You have access to the TinyFish CLI (tinyfish), a tool that runs browser automations from the terminal using natural language goals. This skill uses it to search bounty platforms, GitHub repos, and grant foundation pages in parallel, then synthesizes results into a structured paid opportunities report.

Pre-flight Check (REQUIRED)

Before making any TinyFish call, always run BOTH checks:

1. CLI installed?

PowerShell:

powershell
Get-Command tinyfish; tinyfish --version

bash/zsh:

bash
which tinyfish && tinyfish --version || echo "TINYFISH_CLI_NOT_INSTALLED"

If not installed, stop and tell the user:

Install the TinyFish CLI: npm install -g @tiny-fish/cli

2. Authenticated?

powershell
tinyfish auth status

If not authenticated, stop and tell the user:

You need a TinyFish API key. Get one at: https://agent.tinyfish.ai/api-keys

Then authenticate:

Option 1 — CLI login (interactive):

tinyfish auth login

Option 2 — PowerShell (current session only):

powershell
$env:TINYFISH_API_KEY="your_api_key_here"

Option 3 — PowerShell (persist across sessions):

powershell
[System.Environment]::SetEnvironmentVariable("TINYFISH_API_KEY", "your_api_key_here", "User")

Then close and reopen PowerShell for it to take effect.

Option 4 — bash/zsh (Mac/Linux):

bash
export TINYFISH_API_KEY="your_api_key_here"

Option 5 — Claude Code settings: Add to ~/.claude/settings.local.json:

json
{
  "env": {
    "TINYFISH_API_KEY": "your_api_key_here"
  }
}

Do NOT proceed until both checks pass.


What This Skill Does

Given a developer's stack and optional keywords (e.g. "Rust, async"), this skill:

  1. Tier 1 — Scrapes Algora and IssueHunt, bounty platforms that already curate paid OSS issues
  2. Tier 2 — Scrapes the awesome-<stack> GitHub list to discover top repos, then fans out to check each repo's bounty-labelled issues
  3. Tier 3 — Scrapes NLNet, Sovereign Tech Fund, Mozilla MOSS, LFX Mentorship, GSoC, and Outreachy for open grant calls

All three tiers run in parallel. Results are synthesized into a structured opportunities report.


Core Command

bash
tinyfish agent run --url <url> "<goal>"

Flags

FlagPurpose
--url <url>Target website URL
--syncWait for full result (no streaming)
--asyncSubmit and return immediately
--prettyHuman-readable formatted output

Inputs

Ask the user for:

InputRequiredExample
stack✅ YesRust, Python, Go, TypeScript
keywordsOptionalasync, cli, web3
min_amountOptional100 (minimum bounty $ to include)

Step-by-Step Workflow

Tier 1 — Bounty Aggregator Platforms

Scrape Algora and IssueHunt in parallel. These platforms already curate and index bounties — one agent per platform.

Algora:

bash
tinyfish agent run --sync \
  --url "https://algora.io/bounties?lang=<stack>" \
  "This is Algora.io, a paid OSS bounty platform filtered for <stack>. Extract all visible open bounty listings. Only include bounties relevant to <stack> — skip any for unrelated languages. Return as JSON array: [{\"title\": str, \"repo\": str, \"url\": str, \"bountyAmount\": number, \"currency\": str, \"skills\": [str]}]"

IssueHunt:

bash
tinyfish agent run --sync \
  --url "https://issuehunt.io/repos?language=<stack>" \
  "This is IssueHunt, a paid OSS bounty platform filtered for <stack>. Extract all open bounty listings. Only include bounties relevant to <stack>. Return as JSON array: [{\"title\": str, \"repo\": str, \"url\": str, \"bountyAmount\": number, \"currency\": str, \"skills\": [str]}]"

Example for Rust:

bash
tinyfish agent run --sync \
  --url "https://algora.io/bounties?lang=rust" \
  "This is Algora.io filtered for Rust. Extract all open Rust bounties. Skip any for Scala, Java, Python or other non-Rust stacks. Return as JSON array: [{\"title\": str, \"repo\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"skills\": [str]}]"

Tier 2 — Awesome List → Repo Fan-Out

This is a two-stage process. Run Stage 2 agents in parallel once Stage 1 completes.

Awesome list URLs by stack:

StackAwesome List URL
Rusthttps://github.com/rust-unofficial/awesome-rust
Gohttps://github.com/avelino/awesome-go
Pythonhttps://github.com/vinta/awesome-python
TypeScripthttps://github.com/dzharii/awesome-typescript
JavaScripthttps://github.com/sorrycc/awesome-javascript
C++https://github.com/fffaraz/awesome-cpp
Javahttps://github.com/akullpp/awesome-java
Swifthttps://github.com/matteocrippa/awesome-swift
Elixirhttps://github.com/h4cc/awesome-elixir
Zighttps://github.com/catdevnull/awesome-zig

Stage 2a — Discover repos from awesome list:

bash
tinyfish agent run --sync \
  --url "https://github.com/<awesome-list-url>" \
  "This is a GitHub awesome list. Extract GitHub repo URLs from the README. Return JSON: {\"repos\": [\"https://github.com/owner/repo\"]}. Rules: only owner/repo paths, skip wikis/gists/topics, skip the list repo itself, first 25 unique repos only."

Stage 2b — Check each repo for bounty issues (run all in parallel):

bash
tinyfish agent run --sync \
  --url "https://github.com/<owner>/<repo>/issues?q=is%3Aopen+label%3Abounty+OR+bounty+in%3Atitle+OR+reward+in%3Atitle" \
  "This is a GitHub issues page. Extract all visible issues mentioning bounty, reward, or paid work. Return as JSON array: [{\"title\": str, \"repo\": str, \"url\": str, \"bountyAmount\": number or null, \"currency\": str or null, \"labels\": [str], \"skills\": [str], \"difficulty\": str}]. Return [] if no issues visible."

Tier 3 — Grant Programs

Scrape all six grant foundations in parallel. These are language-agnostic — always run regardless of stack.

bash
# NLNet / NGI Zero
tinyfish agent run --sync \
  --url "https://nlnet.nl/thema/" \
  "This is the NLNet grants page. Extract all currently open grant programs. Return as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"EUR\", \"deadline\": str, \"description\": str, \"labels\": [\"grant\", \"nlnet\"]}]"

# Sovereign Tech Fund
tinyfish agent run --sync \
  --url "https://www.sovereigntechfund.de/programs" \
  "This is the Sovereign Tech Fund grants page. Extract all open programs. Return as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"EUR\", \"deadline\": str, \"description\": str, \"labels\": [\"grant\", \"stf\"]}]"

# Mozilla MOSS
tinyfish agent run --sync \
  --url "https://www.mozilla.org/en-US/moss/" \
  "This is Mozilla MOSS grants page. Extract all open grant tracks. Return as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str, \"labels\": [\"grant\", \"mozilla\"]}]"

# LFX Mentorship
tinyfish agent run --sync \
  --url "https://lfx.linuxfoundation.org/tools/mentorship/" \
  "This is the LFX Mentorship page. Extract all open mentorship programs. Return as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str, \"labels\": [\"grant\", \"lfx\"]}]"

# Google Summer of Code
tinyfish agent run --sync \
  --url "https://summerofcode.withgoogle.com/" \
  "This is Google Summer of Code. Extract program details and open application info. Return as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str, \"labels\": [\"grant\", \"gsoc\"]}]"

# Outreachy
tinyfish agent run --sync \
  --url "https://www.outreachy.org/apply/" \
  "This is Outreachy internships page. Extract open internship rounds and deadlines. Return as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str, \"labels\": [\"grant\", \"outreachy\"]}]"

Parallel Execution

All three tiers run simultaneously. Within Tier 2, Stage 2b repo checks also run in parallel.

PowerShell — All tiers in parallel:

powershell
# Tier 1 — Aggregators
$algoraJob = Start-Job {
    tinyfish agent run --sync `
      --url "https://algora.io/bounties?lang=<stack>" `
      "Extract all open <stack> bounties. Skip unrelated stacks. Return JSON array: [{`"title`": str, `"repo`": str, `"url`": str, `"bountyAmount`": number, `"currency`": str, `"skills`": [str]}]"
}

$issuehuntJob = Start-Job {
    tinyfish agent run --sync `
      --url "https://issuehunt.io/repos?language=<stack>" `
      "Extract all open <stack> bounty listings. Return JSON array: [{`"title`": str, `"repo`": str, `"url`": str, `"bountyAmount`": number, `"currency`": str, `"skills`": [str]}]"
}

# Tier 2 — Awesome list discovery (Stage 2a first, then fan out)
$awesomeJob = Start-Job {
    tinyfish agent run --sync `
      --url "https://github.com/<awesome-list-url>" `
      "Extract GitHub repo URLs from README. Return JSON: {`"repos`": [`"https://github.com/owner/repo`"]}. First 25 unique repos only."
}

# Tier 3 — Grants (all in parallel)
$nlnetJob     = Start-Job { tinyfish agent run --sync --url "https://nlnet.nl/thema/" "Extract open grant programs as JSON array: [{`"title`": str, `"url`": str, `"bountyAmount`": number, `"currency`": `"EUR`", `"deadline`": str, `"description`": str}]" }
$stfJob       = Start-Job { tinyfish agent run --sync --url "https://www.sovereigntechfund.de/programs" "Extract open programs as JSON array: [{`"title`": str, `"url`": str, `"bountyAmount`": number, `"currency`": `"EUR`", `"deadline`": str, `"description`": str}]" }
$mossJob      = Start-Job { tinyfish agent run --sync --url "https://www.mozilla.org/en-US/moss/" "Extract open grant tracks as JSON array: [{`"title`": str, `"url`": str, `"bountyAmount`": number, `"currency`": `"USD`", `"deadline`": str, `"description`": str}]" }
$lfxJob       = Start-Job { tinyfish agent run --sync --url "https://lfx.linuxfoundation.org/tools/mentorship/" "Extract open programs as JSON array: [{`"title`": str, `"url`": str, `"bountyAmount`": number, `"currency`": `"USD`", `"deadline`": str, `"description`": str}]" }
$gsocJob      = Start-Job { tinyfish agent run --sync --url "https://summerofcode.withgoogle.com/" "Extract program info as JSON array: [{`"title`": str, `"url`": str, `"bountyAmount`": number, `"currency`": `"USD`", `"deadline`": str, `"description`": str}]" }
$outreachyJob = Start-Job { tinyfish agent run --sync --url "https://www.outreachy.org/apply/" "Extract open rounds as JSON array: [{`"title`": str, `"url`": str, `"bountyAmount`": number, `"currency`": `"USD`", `"deadline`": str, `"description`": str}]" }

# Wait for Tier 1 + Tier 3 + Tier 2 Stage 2a
Wait-Job $algoraJob, $issuehuntJob, $awesomeJob, $nlnetJob, $stfJob, $mossJob, $lfxJob, $gsocJob, $outreachyJob | Out-Null

# Collect Tier 2 Stage 2a result and extract repo URLs
$awesomeResult = Receive-Job $awesomeJob
# Parse repo URLs from $awesomeResult, then fan out Stage 2b in parallel
# (launch one Start-Job per repo URL, Wait-Job all, Receive-Job all)

# Collect all results
$t1Results = @(Receive-Job $algoraJob) + @(Receive-Job $issuehuntJob)
$t3Results = @(Receive-Job $nlnetJob) + @(Receive-Job $stfJob) + @(Receive-Job $mossJob) + @(Receive-Job $lfxJob) + @(Receive-Job $gsocJob) + @(Receive-Job $outreachyJob)

# Clean up
Remove-Job $algoraJob, $issuehuntJob, $awesomeJob, $nlnetJob, $stfJob, $mossJob, $lfxJob, $gsocJob, $outreachyJob

bash/zsh — All tiers in parallel:

bash
# Tier 1 + Tier 3 simultaneously
tinyfish agent run --sync --url "https://algora.io/bounties?lang=<stack>" \
  "Extract all open <stack> bounties. Return JSON array: [{\"title\": str, \"repo\": str, \"url\": str, \"bountyAmount\": number, \"currency\": str, \"skills\": [str]}]" > /tmp/algora.json &

tinyfish agent run --sync --url "https://issuehunt.io/repos?language=<stack>" \
  "Extract all open <stack> bounty listings. Return JSON array: [{\"title\": str, \"repo\": str, \"url\": str, \"bountyAmount\": number, \"currency\": str, \"skills\": [str]}]" > /tmp/issuehunt.json &

tinyfish agent run --sync --url "https://github.com/<awesome-list-url>" \
  "Extract GitHub repo URLs. Return JSON: {\"repos\": [\"https://github.com/owner/repo\"]}. First 25 unique repos." > /tmp/awesome.json &

tinyfish agent run --sync --url "https://nlnet.nl/thema/" \
  "Extract open grants as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"EUR\", \"deadline\": str, \"description\": str}]" > /tmp/nlnet.json &

tinyfish agent run --sync --url "https://www.sovereigntechfund.de/programs" \
  "Extract open programs as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"EUR\", \"deadline\": str, \"description\": str}]" > /tmp/stf.json &

tinyfish agent run --sync --url "https://www.mozilla.org/en-US/moss/" \
  "Extract open grants as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str}]" > /tmp/moss.json &

tinyfish agent run --sync --url "https://lfx.linuxfoundation.org/tools/mentorship/" \
  "Extract open programs as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str}]" > /tmp/lfx.json &

tinyfish agent run --sync --url "https://summerofcode.withgoogle.com/" \
  "Extract program info as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str}]" > /tmp/gsoc.json &

tinyfish agent run --sync --url "https://www.outreachy.org/apply/" \
  "Extract open rounds as JSON array: [{\"title\": str, \"url\": str, \"bountyAmount\": number, \"currency\": \"USD\", \"deadline\": str, \"description\": str}]" > /tmp/outreachy.json &

wait

# Parse awesome.json for repo URLs, then fan out Tier 2b
# Launch one background job per repo URL, wait for all

Bad — Sequential calls (avoid):

bash
# Don't do this — running tiers one after another wastes minutes
tinyfish agent run --url "https://algora.io/..." "..." 
# wait...
tinyfish agent run --url "https://nlnet.nl/..." "..."
# wait...

Each source is its own call. Always fire all tiers simultaneously.


Step 4 — Synthesize Into Opportunities Report

Once all tiers return results, synthesize into this structure:

## OSS Paid Opportunities: <stack> <keywords>

### Tier 1 — Bounty Platforms
| Title | Repo | Amount | Source | URL |
|-------|------|--------|--------|-----|
| <title> | <owner/repo> | $<amount> | Algora | <url> |
| ...

### Tier 2 — Repo Discovery
Repos scanned: <n> | Repos with bounties: <n>

| Title | Repo | Amount | Labels | URL |
|-------|------|--------|--------|-----|
| <title> | <owner/repo> | $<amount> or TBD | <labels> | <url> |
| ...

### Tier 3 — Grants & Programs
| Program | Max Funding | Deadline | Description |
|---------|------------|----------|-------------|
| <title> | €/$ <amount> | <deadline> | <description> |
| ...

### Summary
- Total opportunities found: <n>
- Highest bounty: $<amount> — <title> (<url>)
- Nearest deadline: <program> — <date>
- Best fit for <stack>: <recommendation>

Only use data returned by TinyFish. Do not hallucinate amounts, deadlines, or repo names.


Relevance Filtering

After collecting results, drop any opportunity where the title, repo, or skills clearly indicate an unrelated stack:

Searching forDrop results mentioning
PythonScala, ZIO, Rust, Swift, Kotlin
RustPython, Scala, Java, Ruby, Golang
GoPython, Scala, Java, Swift, ZIO
TypeScriptPython, Scala, Java, Rust, Swift
JavaScriptPython, Scala, Java, Rust, Swift

Tier 3 grants are always kept — they are language-agnostic.


Managing Runs

bash
# List recent runs
tinyfish agent run list

# Get a specific run by ID
tinyfish agent run get <run_id>

# Cancel a running automation
tinyfish agent run cancel <run_id>

Output

The CLI streams data: {...} SSE lines by default. The final result is the event where type == "COMPLETE" and status == "COMPLETED" — the extracted data is in the resultJson field. Read the raw output directly; no script-side parsing is needed.


Grant Programs Reference

ProgramOrganisationMax FundingFocus
NLNet / NGI ZeroNLNet Foundation€50,000Privacy, security, open internet
Sovereign Tech FundGerman Government€250,000Digital infrastructure
Mozilla MOSSMozilla Foundation~$10,000Web, security, privacy
LFX MentorshipLinux Foundation~$6,600Any open source
Google Summer of CodeGoogle~$6,000Any open source
OutreachySoftware Freedom Conservancy$7,000Underrepresented contributors

Frequently asked questions

What does the Oss Bounty Finder AI skill do?

Find paid open-source work, OSS bounties, open source grants, or ways to get paid contributing to open source. Use when someone asks any of the following — "find me paid open source work", "show me OSS bounties for Rust", "how do I get paid for open source", "find GitHub bounties", "are there any open source grants I can apply to", "find bounties for Python developers", "show me open source funding opportunities", "what repos are paying for contributions", "find me issues with bounties", "show me open source stipends", "find developer grants", "show me NLNet grants", "GSoC alternatives", "p...

Why use Oss Bounty Finder on TypingMind?

Because you install it once and use it with any model. Oss Bounty Finder is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Oss Bounty Finder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tinyfish-io/tinyfish-cookbook/tree/main/skills/oss-bounty-finder. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Oss Bounty Finder?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Oss Bounty Finder?

As many as you like. As long as a model supports skills, you can use Oss Bounty Finder with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oss Bounty Finder AI skill free?

Yes. It is published on GitHub by tinyfish-io under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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