agentmods.dev

saas-idea-finder

saas-idea-finder is a skill for Claude Code, Codex from valtterimelkko/agent-workflow-skills. It costs 133 tokens per session (5,165 once invoked), scanned A, original, MIT.

A research workflow for finding current topics and turning unmet needs into small software-business ideas. It gathers signals from news, developer sites, research papers, code projects, forums, and social networks, then evaluates the ideas.

In plain words
What is it for?
Use it to discover trends, research user problems, propose Micro-SaaS products, remove duplicate ideas, and score their apparent viability.
Why use it?
It reduces the manual work of searching many sources and judging whether an idea responds to a real problem. A Micro-SaaS is a small subscription software product aimed at a focused need.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; built for openclaw.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is cd ./skills/saas-idea-finder.

not rated 2repo 2mo ago A scan 133 tokens original MIT

Good fit Use it to discover trends, research user problems, propose Micro-SaaS products, remove duplicate ideas, and score their apparent viability.

Compare 6 skills from other repositories ↓
View source ↗ valtterimelkko/agent-workflow-skills
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/valtterimelkko/agent-workflow-skills
agentmods
npx agentmods add skills/valtterimelkko/agent-workflow-skills/saas-idea-finder

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for saas-idea-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/saas-idea-finder/github.svg)](https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/saas-idea-finder)
Your own site
<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/saas-idea-finder"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/saas-idea-finder/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for saas-idea-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/saas-idea-finder"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/saas-idea-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,165 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.05165
Opus 5 $0.00067 $0.02583
Sonnet 5 $0.00027 $0.01033
Haiku 4.5 $0.00013 $0.00517

Measured 11d ago against content hash c6fbd8479fbb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

saas-idea-finder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 53 executable files (scripts/discover_trends.py, scripts/helpers/__init__.py, scripts/helpers/arxiv_fetcher.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/saas-idea-finder/SKILL.md · 561 lines

How it starts

The opening of the file, as written. The whole thing — 561 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SaaS Idea Finder

Automatically discover trending topics from multiple sources and generate actionable Micro-SaaS ideas based on real research and market signals.

Overview

This skill implements a 3-stage pipeline that:

  1. Discovers trends from HackerNews, HN Algolia Search, DEV.to, GitHub, arXiv, Stack Exchange, GDELT, SerpAPI, YouTube, Reddit (self-hosted), and social media (Twitter/X, Instagram via Xpoz MCP)
  2. Researches topics using GPT Researcher with comprehensive web analysis
  3. Generates SaaS ideas using AI based on researched pain points and opportunities, with viability scoring (0-100)

Uses a rotating lens system (7 daily perspectives) to ensure fresh, diverse ideas with automatic deduplication.

Pipeline Timing Expectations

Total Pipeline Duration: ~3-6 minutes per topic

Stage Component Expected Time Notes
Stage 1: Discovery ~30-60s
HackerNews 2-3s Fast, reliable
GitHub 3-5s Depends on API response
DEV.to 2-3s Usually fast
HN Algolia 2-3s Fast
NewsAPI 2-3s Fast
Product Hunt 2-3s Fast
arXiv 2-3s Fast
Stack Exchange 2-3s Fast
GDELT 2-3s May timeout occasionally
SerpAPI 2-3s Optional, may be skipped
YouTube 2-3s Fast
Reddit ~18-25s Sequential fetches with rate limiting (4 subreddits × ~5s)
Twitter/X ~15-25s 8 parallel queries with 15s timeout each
Stage 2: Research GPT Researcher ~2-4 min Web scraping + LLM analysis
Stage 3: Synthesis Idea Generation ~30-60s LLM idea generation + viability scoring

Factors that increase time:

  • Slower API responses (TwitterAPI.io, Reddit)
  • Rate limiting (Reddit: ~6s delay between requests)
  • Network latency
  • Complex research topics requiring more web scraping

Factors that decrease time:

  • Cached/credential failures (skips source quickly)
  • GDELT timeout (fails fast, ~2s)
  • SerpAPI not configured (skipped)

Read the full file on GitHub · 561 lines

Files

What ships with it

58 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 561 lines · 133 tokens per session scan A c6fbd8479fbb

Subscribe to this mod's changes

saas-idea-finder is a skill published in the GitHub repository valtterimelkko/agent-workflow-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 133 tokens to every session and 5,165 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Marketing and SEOResearch
Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens