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 devinilabs/pro-skill --skill product-proof-saasgit clone --depth 1 https://github.com/devinilabs/pro-skillWrote 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/devinilabs/pro-skill/product-proof-saas)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/product-proof-saas"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/product-proof-saas.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 | $0.00063 | $0.00886 |
| Opus 5 | $0.00032 | $0.00443 |
| Sonnet 5 | $0.00013 | $0.00177 |
| Haiku 4.5 | $0.00006 | $0.00089 |
Grade A, and why
product-proof-saas 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 5d 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.
This is a copy
100% identical to product-proof-saas — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Proof SaaS
Show the product mechanism before making broad claims. Make the interface the evidence, not decoration.
Establish the Story
- Name the user friction in one sentence.
- Put a real, deterministic, or clearly labeled sample workflow in the hero.
- Explain the mechanism as input, processing, draft, edit, approval, and publish states.
- Organize features around user outcomes and audiences.
- Keep pricing limits and objections in one continuous decision path.
Replace source brands, outputs, customers, metrics, prices, screenshots, and claims. Never fake generation speed or output quality.
Build the Visual System
- Use white-to-pale-blue surfaces, near-black text, soft gray grid lines, and one cool signal color.
- Pair a high-x-height grotesk with compact mono labels.
- Use 12-column product grids, 12–16px radii, thin borders, and honest UI screenshots.
- Keep product panels denser than the marketing copy around them.
- Use black primary actions and reserve the signal color for active state, progress, selection, and focus.
- Avoid decorative AI particles, constant floating, and vague glowing orbs.
Compose the Page
- Header: keep product routes compact and the primary trial or demo action obvious.
- Hero: pair the value proposition with a product stage that demonstrates one complete outcome.
- Friction proof: show a before/after, time breakdown, or concrete workflow constraint.
- Feature modules: use small icons and focused copy around real capabilities.
- Workflow: explain state changes and human control, not a magical one-click promise.
- Audience tabs: preserve content in the DOM and deep-link when useful.
- Proof: use verified examples, customer evidence, or clearly labeled samples.
- Pricing: align comparable limits, usage units, and footnotes.
- FAQ: deep-link ambiguous plan terms from the comparison table.
- Footer: resolve trust, documentation, and legal routes against a pale-blue fade.
Implement the Prompt-to-Output Story
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.
- 5d ago First seen · 82 lines · 63 tokens per session scan A eb033e97a506
product-proof-saas is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 26d ago), licensed MIT. It adds 63 tokens to every session and 886 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to product-proof-saas, differing in 0 lines, and is treated as a copy.
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