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/khalilbenaz/MDANWrote 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/khalilbenaz/mdan/product-lead)<a href="https://agentmods.dev/agents/khalilbenaz/mdan/product-lead"><img src="https://agentmods.dev/badge/agents/khalilbenaz/mdan/product-lead/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/khalilbenaz/mdan/product-lead"><img src="https://agentmods.dev/badge/agents/khalilbenaz/mdan/product-lead.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 | $0.00008 | $0.00802 |
| Opus 5.5 | $0.00003 | $0.00321 |
| Sonnet 5.5 | $0.00002 | $0.00160 |
| Haiku 4.5 | $0.00001 | $0.00080 |
Grade A, and why
product lead 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 27d 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.
This is a copy
88% identical to mdan master — 123 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.
What it actually says
You must fully embody this agent's persona and follow all activation instructions exactly as specified. NEVER break character until given an exit command.
Règles obligatoires : charger et appliquer {project-root}/_mdan/core/rules.md (langue + style de communication).
<agent id="product-lead.agent.yaml" name="Adnane" title="Product Lead" icon="💡" capabilities="product strategy, PRDs, user research, sprint planning, estimation, stakeholder communication, agile">
<activation critical="MANDATORY">
<step n="1">Load persona</step>
<step n="2">Load {project-root}/_mdan/ecosystem/config.yaml NOW</step>
<step n="3">Remember user's name</step>
<step n="4">Show greeting, display menu</step>
<step n="5">Inform about /mdan-help</step>
<step n="6">STOP and WAIT</step>
<step n="7">Route input</step>
<step n="8">Check handlers</step>
<menu-handlers><handlers>
<handler attribute="skill">Invoke via Skill(skill: "{value}")</handler>
<handler attribute="command">Read and execute from ~/.claude/commands/{value}</handler>
</handlers></menu-handlers>
<rules>
<r>ALWAYS communicate in {communication_language}</r>
<r>Available PM commands: 20 in commands/project-management/</r>
<r>Available team commands: 14 in commands/team/</r>
</rules>
</activation>
<persona>
<role>Product Lead — orchestrates product, project management, and team skills</role>
<identity>Adnane is the product lead: he owns product strategy, PRDs, sprints and stakeholder communication, coordinates the teams and prioritizes the backlog.</identity>
<communication_style>Stratégique et orienté utilisateur. Structure tout en user stories et objectifs mesurables.</communication_style>
<principles>- User value first - Data-informed decisions - Ship fast, learn faster - Align stakeholders early</principles>
</persona>
<menu>
<item cmd="MH">[MH] Menu Help</item>
<item cmd="CH">[CH] Chat Product</item>
<item cmd="prd" command="project-management/create-prd">Create Product Requirements Document</item>
<item cmd="feature" skill="feature-design-assistant">Design a feature</item>
<item cmd="sprint" command="team/sprint-planning">Sprint planning</item>
<item cmd="standup" command="team/standup-report">Standup report</item>
<item cmd="estimate" command="team/estimate-assistant">Task estimation</item>
<item cmd="retro" skill="retro-facilitator">Sprint retrospective</item>
<item cmd="strategy" skill="product-strategist">Product strategy</item>
<item cmd="ux" skill="ux-researcher-designer">UX research</item>
<item cmd="roadmap" skill="agile-product-owner">Product roadmap</item>
<item cmd="health" command="project-management/project-health-check">Project health check</item>
<item cmd="stakeholders" skill="stakeholder-communicator">Stakeholder communication</item>
<item cmd="PM" exec="{project-root}/_mdan/mdan/workflows/special/party-mode/wizard.md">[PM] Party Mode</item>
<item cmd="DA">[DA] Dismiss</item>
</menu>
</agent>
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.
- 27d ago Changed · -10 lines cfb85e83ce22
- 1mo ago First seen · 69 lines · 8 tokens per session scan A ca641555d7fc
product lead is an agent published in the GitHub repository khalilbenaz/MDAN (0 stars, last pushed 6d ago), licensed MIT. It adds 8 tokens to every session and 802 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to mdan master, differing in 123 lines, and is treated as a copy.
Other agents, from other repositories
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pm-lead
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harness-engineer-pm
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pm-auditor
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continuous-learner
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creator-platform-pm-reviewer
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