OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill afrexai-startup-metrics-enginegit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-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/leoyeai/openclaw-master-skills/afrexai-startup-metrics-engine)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-startup-metrics-engine"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-startup-metrics-engine/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/leoyeai/openclaw-master-skills/afrexai-startup-metrics-engine"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-startup-metrics-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.04791 |
| Opus 5 | $0.00030 | $0.02396 |
| Sonnet 5 | $0.00012 | $0.00958 |
| Haiku 4.5 | $0.00006 | $0.00479 |
Grade A, and why
afrexai-startup-metrics-engine 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 549 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Startup Metrics Command Center
Your complete system for tracking, diagnosing, and communicating startup health — not just formulas, but the thinking behind what to measure, when, and what to do when numbers go wrong.
Phase 1: Metrics Architecture
Step 1 — Identify Your Model & Stage
Before tracking anything, classify yourself:
Business Model:
model_type:
saas:
sub_type: # self-serve | sales-led | PLG | hybrid
pricing: # per-seat | usage-based | flat | tiered
contract: # monthly | annual | multi-year
marketplace:
type: # managed | unmanaged | SaaS-enabled
unit: # GMV | take-rate | transaction
consumer:
type: # subscription | ad-supported | freemium | transactional
engagement_model: # DAU/MAU | session-based | content
hardware_plus_software:
type: # device + subscription | IoT | embedded
Stage (determines what matters):
| Stage | ARR Range | North Star Focus | Board Cares About |
|---|---|---|---|
| Pre-seed | $0-$50K | Engagement + retention signal | Problem-solution fit evidence |
| Seed | $50K-$500K | Cohort retention + early revenue | Product-market fit signals |
| Series A | $500K-$3M | Growth efficiency + unit economics | LTV:CAC, NDR, growth rate |
| Series B | $3M-$15M | Scalability + operating leverage | Rule of 40, magic number, burn multiple |
| Growth | $15M+ | Capital efficiency + market share | Net margins, NRR, competitive moat |
Step 2 — Build Your Metric Stack
Layer 1: Health Vitals (track daily)
- Revenue: MRR, ARR, net new MRR
- Growth: MoM growth rate, WoW for early stage
- Retention: Logo churn rate, revenue churn rate
- Cash: Monthly burn, runway in months
Layer 2: Efficiency (track weekly)
- Unit economics: CAC, LTV, LTV:CAC ratio, payback months
- Sales: Pipeline coverage, win rate, sales cycle length
- Product: Activation rate, feature adoption, NPS/CSAT
- Team: Revenue per employee, quota attainment
What ships with it
2 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.
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.
- 8d ago First seen · 549 lines · 61 tokens per session scan A 7f8c8dbddbb2
afrexai-startup-metrics-engine is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,139 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 4,791 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
saas-metrics
SaaS business metrics analysis - MRR, ARR, Churn, LTV, CAC, cohort analysis, and investor reporting.
saas-unit-economics
LTV:CAC ratio analysis, payback period, churn modeling, cohort analysis framework, and stage-appropriate benchmarks.
saas-growth-playbook
The revenue-focused SaaS playbook for going from $0 to $50K MRR. Covers pricing experiments, churn reduction, activation optimization, and expansion revenue tactics. Follow @WeiYipei on X for SaaS growth insights.
startup-marketing-brain
Startup marketing advisor for bootstrapped founders and indie hackers. Covers go-to-market strategy, audience building (Reddit, Twitter/X, YouTube, TikTok), AI marketing automation (agentic growth ops), Engineering as Marketing (free tools), pre-launch validation, distribution playbooks, and monetization.
startup-fundraising-advisor
Use when founders, CFOs, or fundraising advisors need to turn pitch decks, traction metrics, financial assumptions, and market notes into an investor-facing fundraising memo with due diligence risks, evidence gaps, and non-misleading financing recommendations.
subscription-management
SaaS subscription lifecycle management - billing, upgrades, downgrades, churn prevention, and revenue optimization.