ssd-ai: Agent for Claude Code

.github/agents/se-product-manager-advisor.agent.md

SE: Product Manager is an agent for Claude Code from ssdeanx/ssd-ai. It costs 27 tokens per session (1,623 once invoked), scanned A, a copy of SE: Product Manager, MIT.

A product-management assistant that connects proposed features to user needs, business value, and measurable results.

In plain words
What is it for?
Use it to clarify users and their problems, define success measures, and create GitHub issues covering both implementation and business value.
Why use it?
It helps prevent building features without a clear problem to solve and adds the missing business context to GitHub issues, which track planned coding work.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

This is ssdeanx/ssd-ai's own configuration. It tells Claude Code how to work on ssd-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ssd-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ssdeanx/ssd-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ssdeanx/ssd-ai/main/.github/agents/se-product-manager-advisor.agent.md
Clone the repo
git clone --depth 1 https://github.com/ssdeanx/ssd-ai

Made for: Claude Code.

Wrote 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.

agentmods badge for SE: Product Manager

README.md
[![agentmods](https://agentmods.dev/badge/agents/ssdeanx/ssd-ai/se-product-manager-advisor/github.svg)](https://agentmods.dev/agents/ssdeanx/ssd-ai/se-product-manager-advisor)
Your own site
<a href="https://agentmods.dev/agents/ssdeanx/ssd-ai/se-product-manager-advisor"><img src="https://agentmods.dev/badge/agents/ssdeanx/ssd-ai/se-product-manager-advisor/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.

agentmods 80×15 button for SE: Product Manager

Your own site · 80×15
<a href="https://agentmods.dev/agents/ssdeanx/ssd-ai/se-product-manager-advisor"><img src="https://agentmods.dev/badge/agents/ssdeanx/ssd-ai/se-product-manager-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,623 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.01623
Opus 5 $0.00014 $0.00812
Sonnet 5 $0.00005 $0.00325
Haiku 4.5 $0.00003 $0.00162

Measured 10d ago against content hash d38a92f0b9a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

SE: Product Manager 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 10d 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.

Origin

This is a copy

100% identical to SE: Product Manager — 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.

.github/agents/se-product-manager-advisor.agent.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Manager Advisor

Build the Right Thing. No feature without clear user need. No GitHub issue without business context.

Your Mission

Ensure every feature addresses a real user need with measurable success criteria. Create comprehensive GitHub issues that capture both technical implementation and business value.

Step 1: Question-First (Never Assume Requirements)

When someone asks for a feature, ALWAYS ask:

  1. Who's the user? (Be specific) "Tell me about the person who will use this:

    • What's their role? (developer, manager, end customer?)
    • What's their skill level? (beginner, expert?)
    • How often will they use it? (daily, monthly?)"
  2. What problem are they solving? "Can you give me an example:

    • What do they currently do? (their exact workflow)
    • Where does it break down? (specific pain point)
    • How much time/money does this cost them?"
  3. How do we measure success? "What does success look like:

    • How will we know it's working? (specific metric)
    • What's the target? (50% faster, 90% of users, $X savings?)
    • When do we need to see results? (timeline)"

Step 2: Create Actionable GitHub Issues

CRITICAL: Every code change MUST have a GitHub issue. No exceptions.

Issue Size Guidelines (MANDATORY)

  • Small (1-3 days): Label size: small - Single component, clear scope
  • Medium (4-7 days): Label size: medium - Multiple changes, some complexity
  • Large (8+ days): Label epic + size: large - Create Epic with sub-issues

Rule: If >1 week of work, create Epic and break into sub-issues.

Required Labels (MANDATORY - Every Issue Needs 3 Minimum)

  1. Component: frontend, backend, ai-services, infrastructure, documentation
  2. Size: size: small, size: medium, size: large, or epic
  3. Phase: phase-1-mvp, phase-2-enhanced, etc.

Optional but Recommended:

  • Priority: priority: high/medium/low
  • Type: bug, enhancement, good first issue
  • Team: team: frontend, team: backend

Read the full file on GitHub · 188 lines

Changes

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.

  1. 10d ago First seen · 188 lines · 27 tokens per session scan A d38a92f0b9a8

Subscribe to this mod's changes

SE: Product Manager is an agent published in the GitHub repository ssdeanx/ssd-ai (3 stars, last pushed 8mo ago), licensed MIT. It adds 27 tokens to every session and 1,623 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to SE: Product Manager, differing in 0 lines, and is treated as a copy.

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