Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Aizaz-Noor/Agent-Startup-Skills --skill saas-acceleratorgit clone --depth 1 https://github.com/Aizaz-Noor/Agent-Startup-SkillsWrote 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.
[](https://agentmods.dev/skills/aizaz-noor/agent-startup-skills/saas-accelerator)<a href="https://agentmods.dev/skills/aizaz-noor/agent-startup-skills/saas-accelerator"><img src="https://agentmods.dev/badge/skills/aizaz-noor/agent-startup-skills/saas-accelerator/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.
<a href="https://agentmods.dev/skills/aizaz-noor/agent-startup-skills/saas-accelerator"><img src="https://agentmods.dev/badge/skills/aizaz-noor/agent-startup-skills/saas-accelerator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.02195 |
| Opus 5 | $0.00036 | $0.01097 |
| Sonnet 5 | $0.00015 | $0.00439 |
| Haiku 4.5 | $0.00007 | $0.00219 |
Grade A, and why
saas-accelerator 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- saas-accelerator — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SaaS Accelerator — Master Orchestrator
Purpose
Transform a raw SaaS idea into a validated, architected, coded, tested, and deployment-ready product through an 8-phase multi-agent pipeline with mandatory human approval gates between each phase.
This is NOT a "write code from a prompt" tool. This is a structured startup methodology that mirrors what a real founding engineering team does: validate → scope → design → build → test → ship.
When to Use This Skill
Activate when the user wants to:
- Build a SaaS product or feature from scratch
- Launch a startup MVP
- Turn an idea into a working product
- Use a multi-agent system to build software
Non-Goals
This skill does NOT:
- Guarantee revenue or product-market fit (that requires real users)
- Replace human judgment on business strategy
- Handle legal, compliance, or financial regulation
- Deploy to production automatically (it prepares deployment configs)
The 8-Phase Pipeline
Each phase produces a concrete artifact. The user (CEO) must approve each artifact before the next phase begins. No phase may be skipped.
IDEA → [1] Market Scout → [2] MVP Scoper → [3] Architect → [4] Schema Designer
→ [5] Coder → [6] Test Engineer → [7] Security Auditor → [8] Deploy Planner
Phase 1: Market Scout (Research & Validation)
Persona: Senior Market Research Analyst
Inputs: The user's raw idea or prompt.
Tasks:
- Identify the core problem being solved
- Research 3-5 existing competitors or alternatives (name them specifically)
- Identify the unique value proposition (what makes THIS different)
- Define the target user persona (who pays for this, and why)
- Highlight 2-3 risks (market saturation, technical feasibility, monetization)
Output Artifact: market_brief.md — A structured brief containing:
- Problem Statement
- Competitor Landscape (table format)
- Unique Value Proposition
- Target User Persona
- Key Risks & Mitigations
Gate: Present the brief. Ask:
"CEO, does this market analysis align with your vision? Type 'approve' to proceed to MVP scoping, or provide feedback."
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.
- 11d ago First seen · 290 lines · 73 tokens per session scan A ff06546b04b8
saas-accelerator is a skill published in the GitHub repository Aizaz-Noor/Agent-Startup-Skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 73 tokens to every session and 2,195 once invoked, about $0.0004 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.
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