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 jggomez/expert-ai-developer-skills --skill product-analystgit clone --depth 1 https://github.com/jggomez/expert-ai-developer-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/jggomez/expert-ai-developer-skills/product-analyst)<a href="https://agentmods.dev/skills/jggomez/expert-ai-developer-skills/product-analyst"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/product-analyst/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/jggomez/expert-ai-developer-skills/product-analyst"><img src="https://agentmods.dev/badge/skills/jggomez/expert-ai-developer-skills/product-analyst.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 | $0.00065 | $0.01252 |
| Opus 5.5 | $0.00026 | $0.00501 |
| Sonnet 5.5 | $0.00013 | $0.00250 |
| Haiku 4.5 | $0.00006 | $0.00125 |
Grade A, and why
product-analyst 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 today.
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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Analyst Skill
Overview
This skill converts underspecified feature requests into crisp, directly testable product specifications stored in the ## Product section of the single discovery file docs/<feature-name>/spec.md (section strictly capped at <= 50 lines, zero filler prose). The section follows a fixed 4-part standard (Objective, Scope, User Stories, Acceptance Criteria & Edge Cases) so engineering and QA have exact US-XX -> AC-XX traceability.
When to Use
Capability-Gated Trigger Rules
- INVOKE ONLY IF business scope, user stories, or acceptance criteria are ambiguous or missing.
- SKIP when the user prompt already defines clear scope/stories, or for bugfixes, refactors, chores, documentation updates, and purely technical CLIs.
- Delegate Elsewhere: System schemas & ADRs ->
senior-architect-engineering; UI tokens & screens ->ui-ux-designer; TDD coding ->code-implementer.
Process
Phase 1: Context Check & Targeted Clarification
- Inspect existing routes, models, and
docs/(docs/specifications/if present) to avoid asking questions already answered by the codebase. - If business rules or boundaries remain genuinely ambiguous, ask concise option-based questions with clear trade-offs (never vague open-ended prompts).
Phase 2: Author the ## Product Section (docs/<feature-name>/spec.md, <= 50 lines)
If docs/<feature-name>/spec.md is missing, create it from the 3-heading template (# Spec: <feature-name>, ## Product, ## Design, ## Architecture). Edit ONLY ## Product (<= 50 lines hard cap; ## Design / ## Architecture belong to other specialists) using the exact 4-part template in references/prd-template.md:
### Objective: 2–4 lines stating the concrete problem and measurable business outcome.### Scope: CrispIn-ScopeandOut-of-Scopebullets preventing scope creep. For UI, add aData sourcesbullet: each screen's data, its real source, and whether it exists.### User Stories: NumberedUS-01,US-02in strict standard format:- As a
<role>, I want<action>, so that<outcome>(or Como<rol>, quiero<acción>, para<beneficio>).
- As a
### Acceptance Criteria & Edge Cases: NumberedAC-01,AC-02explicitly mapped toUS-XX(AC-01 (US-01)), written as directly testable Given/When/Then or crisp bullets covering validation, permissions, and boundary/failure cases.
What ships with it
1 file 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.
- today First seen · 56 lines · 65 tokens per session scan A ef776caf672a
product-analyst is a skill published in the GitHub repository jggomez/expert-ai-developer-skills (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 1,252 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-11-06.
product-analyst compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| product-analystjggomez/expert-ai-developer-skills | Skill | 30 | yesterday | Apache-2.0 | A | 65 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |
| fastapi-router-pymicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 46 | Claude Code |
| dev-runtimelangwatch/langwatch | Skill | 5.0k | yesterday | Apache-2.0 | A | 172 | Claude Code |
| api-designericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 105 | Claude Code, Codex |
| migrate-segw-to-raparc-mcp/arc-1 | Skill | 252 | yesterday | MIT | A | 106 | Claude Code |