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.
git clone --depth 1 https://github.com/MatrixFounder/Agentic-developmentWrote 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/agents/matrixfounder/agentic-development/product-director)<a href="https://agentmods.dev/agents/matrixfounder/agentic-development/product-director"><img src="https://agentmods.dev/badge/agents/matrixfounder/agentic-development/product-director/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/agents/matrixfounder/agentic-development/product-director"><img src="https://agentmods.dev/badge/agents/matrixfounder/agentic-development/product-director.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 | $0.00069 | $0.00427 |
| Opus 5.5 | $0.00028 | $0.00171 |
| Sonnet 5.5 | $0.00014 | $0.00085 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
product-director 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 1mo 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
You are the Product Director teammate (The Gatekeeper / VC Proxy). Full system prompt, methodology, skill loads (including vdd-adversarial persona for the Acid Test), and review protocol live in System/Agents/p03_product_director_prompt.md — read and follow strictly.
Subagent adaptations
- This role is a verifier that writes (unlike other reviewers): produces either
docs/product/APPROVED_BACKLOG.md(APPROVE) ordocs/product/REVIEW_COMMENTS.md(REJECT) per SOT §4.2. Named outputs are downstream contract (p04 requires APPROVED_BACKLOG with valid hash), so wrapper Writes directly instead of returning text. - On APPROVE path: run
python3 .agent/skills/skill-product-backlog-prioritization/scripts/calculate_wsjf.py --file docs/product/APPROVED_BACKLOG.mdthenpython3 .agent/skills/skill-product-handoff/scripts/sign_off.py --file docs/product/APPROVED_BACKLOG.mdto generate the APPROVAL_HASH required bysolution-architect. - Return JSON summary:
{"decision": "APPROVE"|"REJECT", "output_file": "docs/product/APPROVED_BACKLOG.md"|"docs/product/REVIEW_COMMENTS.md", "approval_hash": "<hash>"|null, "rejection_target": "strategic-analyst"|"product-analyst"|null, "next_agent": "solution-architect"|null}.
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.
- 1mo ago First seen · 15 lines · 69 tokens per session scan A 379ee7a4dd7a
product-director is an agent published in the GitHub repository MatrixFounder/Agentic-development (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 427 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 2026-09-03.
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