Wondel.ai Agent Skills is a collection of skills and guided workflows that give coding agents structured methods for business, marketing, UX, website, app, and software-development tasks. It is used with agents such as Claude Code, Codex, Cursor, OpenClaw, and other agents that support the agentskills.io format. The catalogue entries are the project's skills, plugins, instructions, and rule packaged for those agents.
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 agentmods add skills/wondelai/skills/lean-analyticsnpx skills add wondelai/skills --skill lean-analyticsgit clone --depth 1 https://github.com/wondelai/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/wondelai/skills/lean-analytics)<a href="https://agentmods.dev/skills/wondelai/skills/lean-analytics"><img src="https://agentmods.dev/badge/skills/wondelai/skills/lean-analytics.svg" alt="Measured on agentmods" 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 | $0.00169 | $0.03761 |
| Opus 5 | $0.00084 | $0.01880 |
| Sonnet 5 | $0.00034 | $0.00752 |
| Haiku 4.5 | $0.00017 | $0.00376 |
Grade A, and why
lean-analytics 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 6d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lean Analytics
A data discipline for startups distilled from Alistair Croll and Benjamin Yoskovitz's Lean Analytics: separate metrics that change decisions from numbers that merely flatter, then point the whole company at the One Metric That Matters for your business model and stage. Use it to choose metrics, audit dashboards, set targets, and plan instrumentation.
Core Principle
Focus on the one metric that matters right now — everything else is noise that feels like progress. Startups die from lack of focus more often than lack of data. The discipline is knowing your business model, knowing your stage, and tracking the single number that tells you whether the riskiest part of the business is working. A metric earns attention only if it changes what you do next.
Scoring
Goal: 10/10. Rate metric choices, dashboards, and instrumentation plans 0-10 against these principles. Report the current score and the specific changes needed to reach 10/10.
- 9-10: One OMTM matched to model and stage, paired counter-metric, a line in the sand with a pre-committed miss response, cohorted and segmented data
- 7-8: Mostly actionable ratios and a plausible OMTM, but no explicit target, weak cohorting, or too many "key" metrics
- 5-6: Actionable and vanity metrics mixed; dashboard exists but rarely changes a decision; model and stage never named
- 3-4: Vanity metrics dominate — totals, cumulative charts, blended averages; metrics copied from other companies
- 0-2: No instrumentation, or numbers chosen to impress investors rather than drive decisions
Framework
1. Good Metrics vs Vanity Metrics
Core concept: A good metric is comparative (versus last week, versus another cohort), understandable (the team can recall and debate it), a ratio or rate (not an ever-growing total), and behavior-changing — if a number won't change what you do, stop measuring it. Vanity metrics — total signups, page views, cumulative anything — only go up and only make you feel good.
What ships with it
5 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.
- 6d ago First seen · 187 lines · 169 tokens per session scan A ed66ef399bdf
lean-analytics is a skill published in the GitHub repository wondelai/skills (2,108 stars, last pushed 7d ago), licensed MIT. It adds 169 tokens to every session and 3,761 once invoked, about $0.0008 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 2026-08-30.
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