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 guia-matthieu/clawfu-skills --skill startup-metricsgit clone --depth 1 https://github.com/guia-matthieu/clawfu-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/guia-matthieu/clawfu-skills/startup-metrics)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/startup-metrics"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/startup-metrics/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/guia-matthieu/clawfu-skills/startup-metrics"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/startup-metrics.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 | $0.00089 | $0.05442 |
| Opus 5 | $0.00044 | $0.02721 |
| Sonnet 5 | $0.00018 | $0.01088 |
| Haiku 4.5 | $0.00009 | $0.00544 |
Grade A, and why
startup-metrics 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 9d 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 — 771 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Startup Metrics
Know the metrics that matter at each stage and what investors actually look for. Master the A16Z and YC frameworks for measuring startup progress.
When to Use This Skill
- Fundraising prep to know which metrics to highlight
- Board meetings to report on the right KPIs
- Strategic planning to set goals that matter
- Product decisions to understand what to optimize
- Diagnosing problems to find what's broken
- Benchmarking to know if your metrics are good
Methodology Foundation
| Aspect | Details |
|---|---|
| Source | A16Z (Andreessen Horowitz), YC (Y Combinator), SaaS metrics best practices |
| Core Principle | "Measure what matters. Vanity metrics feel good but don't predict success. Focus on metrics that indicate real product-market fit and sustainable growth." |
| Why This Matters | Wrong metrics lead to wrong decisions. Right metrics reveal truth about your business—good or bad—before it's too late to course-correct. |
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Strategic priorities |
| Synthesizes market data | Competitive positioning |
| Identifies opportunities | Resource allocation |
| Creates strategic options | Final strategy selection |
| Suggests implementation approaches | Execution decisions |
What This Skill Does
- Identifies key metrics by stage - What to measure when
- Calculates core SaaS metrics - ARR, MRR, churn, LTV, CAC
- Benchmarks performance - Good vs. great vs. concerning
- Diagnoses metric problems - What poor metrics indicate
- Prepares investor-ready dashboards - What VCs want to see
- Prioritizes metric improvement - What to fix first
How to Use
Get Stage-Appropriate Metrics
I'm a [stage] startup in [industry].
What metrics should I be tracking?
What benchmarks should I aim for?
Calculate Core Metrics
Help me calculate my SaaS metrics:
[Provide: MRR, customer count, churn data, acquisition costs]
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.
- 9d ago First seen · 771 lines · 89 tokens per session scan A f0ef34cb8f71
startup-metrics is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 5,442 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 2026-09-03.
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