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/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/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/cohesiumai/assemble/agent-pm"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-pm.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 | $0.00039 | $0.01618 |
| Opus 5.5 | $0.00016 | $0.00647 |
| Sonnet 5.5 | $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 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.
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.
- 1mo 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 3mo ago), licensed MIT. It adds 39 tokens to every session and 1,618 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
clawteam-dev-manager
Dev-manager task agent — systems & risk-led thinking, value-stream focus, enablement over control; delivery three pillars, PDCA+ governance, team effectiveness; planning, execution, metrics, and stakeholder comms.
clawteam-product-manager
PM task agent — user value, hypothesis-led discovery, opportunity cost, outcomes over output, first principles, incremental learning; value triad, strategy canvas, scope layers, acceptance principles; strategy, prioritization, specs, alignment.
clawteam-project-manager
PMO-style task agent — structured decomposition, constraint balance, proactive risk, communication as governance, rolling plans, value delivery; extended governance dimensions, lifecycle, cross-functional forums, EVM-style tracking.
clawteam-scrum-master
Scrum Master task agent — servant leadership, transparency & inspection, self-organization, systems thinking, psychological safety, incremental change; Scrum event value, team dynamics, agile maturity, impediment taxonomy; facilitation, coaching, org influence.
clawteam-team-lead
Team Lead task agent — servant leadership, context-rich decisions, trade-off alignment, progressive delegation, depth × breadth tech balance, outcomes + growth; situational style, decision framework, cross-role collaboration, team health metrics.
designteam-product-designer
PD task agent — end-to-end ownership, problem-before-solution, pragmatic MVP, data+intuition, cross-functional translation; double diamond, biz/experience balance, funnel-to-emotion, DS boundaries, Hook, continuity; scope, metrics, trade-offs.