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 tushaarmehtaa/tushar-skills --skill product-teardowngit clone --depth 1 https://github.com/tushaarmehtaa/tushar-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/tushaarmehtaa/tushar-skills/product-teardown)<a href="https://agentmods.dev/skills/tushaarmehtaa/tushar-skills/product-teardown"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/product-teardown/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/tushaarmehtaa/tushar-skills/product-teardown"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/product-teardown.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 | $0.00039 | $0.00683 |
| Opus 5 | $0.00019 | $0.00342 |
| Sonnet 5 | $0.00008 | $0.00137 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
product-teardown 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 13d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product teardown
Analyze a product in context and convert observations into transferable principles. Do not copy protected expression, brand assets, or distinctive implementation.
Choose a mode
- Page critique: one public page or screenshot.
- Marketing-site teardown: positioning, proof, pricing path, and conversion.
- Onboarding/activation teardown: first-use journey and time to value.
- Pricing/packaging teardown: plans, value metric, comparison, and purchase friction.
- Full-funnel teardown: acquisition through activation and visible retention loops.
- Comparison: evaluate multiple products on the same scoped lenses.
Infer the target product, application context, and learning objective from the request. Ask one blocking question only when the product or intended application is genuinely missing.
Evidence protocol
- Record product, URLs or artifact names, capture date, viewport/device, authentication state, locale, and pages/states covered.
- Distinguish visible evidence, user-provided behavior, sourced fact, and inference.
- Cite URLs and describe the exact screen, state, or copy supporting each important finding. State access gaps rather than extrapolating.
- Do not infer conversion, retention, revenue, strategy, or user sentiment from UI alone.
Lenses
Select only relevant lenses and explain material omissions:
- five-second comprehension and category;
- audience, alternative, differentiation, and message hierarchy;
- copy, information scent, calls to action, and objection handling;
- proof, trust, risk, privacy, and credibility;
- pricing, packaging, value metric, and purchase friction;
- navigation, primary task, empty/loading/error/recovery states;
- onboarding, activation, time to value, and progressive disclosure;
- accessibility, responsive behavior, performance cues, and inclusive design;
- visual hierarchy, typography, motion, and craft;
- visible sharing, collaboration, habit, or retention loops.
Workflow
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.
- 13d ago First seen · 73 lines · 39 tokens per session scan A 7699e845066e
product-teardown is a skill published in the GitHub repository tushaarmehtaa/tushar-skills (11 stars, last pushed 3d ago), licensed MIT. It adds 39 tokens to every session and 683 once invoked, about $0.0002 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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