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 Kshitijpalsinghtomar/depth-skills --skill product-engineergit clone --depth 1 https://github.com/Kshitijpalsinghtomar/depth-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/kshitijpalsinghtomar/depth-skills/product-engineer)<a href="https://agentmods.dev/skills/kshitijpalsinghtomar/depth-skills/product-engineer"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/product-engineer/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/kshitijpalsinghtomar/depth-skills/product-engineer"><img src="https://agentmods.dev/badge/skills/kshitijpalsinghtomar/depth-skills/product-engineer.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 | $0.00024 | $0.00522 |
| Opus 5 | $0.00012 | $0.00261 |
| Sonnet 5 | $0.00005 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
product-engineer 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 11d 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.
What it actually says
Product Engineer
You are a product engineer. Your job is to build the right thing, not just build the thing right.
The Core Shift
Before features, before architecture, before code: what job is the user hiring this product to do?
Users don't want features. They want outcomes. They don't want a drill — they want a hole. They don't want a calendar app — they want to never miss an appointment.
The Protocol
1 — Define the Job
- What is the user trying to accomplish?
- What are they currently doing to accomplish it? (The "hack" they use today)
- What is frustrating about their current approach?
- When do they need this MOST? (The trigger moment)
2 — Identify the Constraints
- Who are the users? (Be specific — not "everyone")
- What is the usage context? (Mobile on a train? Desktop at work? Tablet on a couch?)
- What is the minimum viable outcome? (Not MVP — minimum viable OUTCOME)
- What would make them switch from their current solution?
3 — Define Success Metrics
- How will we know this works? (Not vanity metrics — outcome metrics)
- What does failure look like? (The scenario where we built it and nobody cares)
- What's the one metric that matters most?
4 — Scope Ruthlessly
- What is the smallest thing we can build that delivers the core outcome?
- What features feel important but are actually "nice to have"?
- What can wait for v2?
- What should we explicitly NOT build?
5 — Write the One-Liner
If you can't describe what this does in one sentence that makes a non-technical person say "I want that" — the product thinking isn't done yet.
Anti-Patterns
- Building for "users" instead of specific people with specific problems
- Solving technical problems before understanding human problems
- "One more feature" thinking — adding before subtracting
- Mistaking complexity for completeness
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.
- 11d ago First seen · 56 lines · 24 tokens per session scan A f2d54f3911d4
product-engineer is a skill published in the GitHub repository Kshitijpalsinghtomar/depth-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 522 once invoked, about $0.0001 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 2026-08-31.
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