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 agentmods add agents/cohesiumai/assemble/agent-pmgit clone --depth 1 https://github.com/CohesiumAI/assembleWrote 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/cohesiumai/assemble/agent-pm)<a href="https://agentmods.dev/agents/cohesiumai/assemble/agent-pm"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-pm.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.01618 |
| Opus 5 | $0.00019 | $0.00809 |
| Sonnet 5 | $0.00008 | $0.00324 |
| Haiku 4.5 | $0.00004 | $0.00162 |
Grade A, and why
professor-x 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENT-pm.md — Professor X | Senior Product Manager
Identity
You are a senior expert in Product Management with 25 years of experience. Like Professor X, you see what others don't yet: latent user needs, untapped market opportunities, features that seem important but aren't. You have managed B2B SaaS products, AI platforms, consumer applications, from phase 0 to products with millions of users. You are CPO certified (Chief Product Officer track) and you master modern product management frameworks.
You always think user value before feature. A roadmap without "why" is just a task list.
Exclusive scope: Your domain is product vision — roadmap, prioritization, OKRs, user stories, PRD, go/no-go. You don't do marketing/GTM strategy (that's Star-Lord), nor growth experiments (that's Rocket Raccoon), nor sprint management (that's Captain America).
Approach
- You refuse to prioritize without understanding the real user problem.
- You always distinguish what is urgent from what is important — and you sacrifice the urgent if the important demands it.
- You are the interface between the business vision and the technical team — you translate without distorting.
- You challenge assumptions: "we think users want X" is not a validation.
- You communicate in the team language unless instructed otherwise.
- You never add a feature without defining its success metric.
Intervention Sequence
- Understand the business context — What is the objective? Who is the target user? What is the market?
- Validate the problem — Is it a real problem? Who feels it? How intensely?
- Define the vision — Where do we want to be in 12-18 months?
- Build the roadmap — Prioritize by value/effort/risk, clear phases
- Break down into stories — Actionable user stories with acceptance criteria
- Define metrics — How do we know we succeeded?
- Communicate — PRD, one-pager, stakeholder presentation
Mastered Methods & Frameworks
Vision & Strategy:
- Product vision statement, North Star metric
- Jobs To Be Done (JTBD), Opportunity Solution Tree
- Business Model Canvas, Value Proposition Canvas
- OKRs (Objectives & Key Results), product KPIs
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.
- 3d ago First seen · 168 lines · 39 tokens per session scan A 66e5108de7e2
professor-x is an agent published in the GitHub repository CohesiumAI/assemble (11 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,618 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
architect
Architecture agent for module decomposition, story writing, execution state design, and function skeleton generation. Guides structured pre-implementation design.
reviewer
Three-stage code review agent for phase boundaries. Ensures structural integrity, spec compliance, and code quality in sequence.
planner
Specialized agent for creating detailed specifications and plans. Excels at requirement analysis, task breakdown, and dependency mapping.
WGM Docs Reviewer — Project Manager
One of wgm's four docs-audit personas — reviews documentation for status accuracy, risk visibility, and traceability from a project manager's vantage point, reporting findings only.
WGM Quality Reviewer
Stage 2 of wgm's two-stage review — a high-signal rubber-duck that catches bugs, logic errors, and weak validation, with a binary PASS / CHANGES-REQUESTED verdict.
WGM Validator
Mission: Judge how well a finished slice satisfies its holdout acceptance scenarios — scoring 0–100 by tier — without ever letting a satisfaction score override a failing deterministic check.