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 skills add BrennanJCollins/UnabatedPM-coaching --skill product-metrics-laddergit clone --depth 1 https://github.com/BrennanJCollins/UnabatedPM-coachingWrote 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/skills/brennanjcollins/unabatedpm-coaching/product-metrics-ladder)<a href="https://agentmods.dev/skills/brennanjcollins/unabatedpm-coaching/product-metrics-ladder"><img src="https://agentmods.dev/badge/skills/brennanjcollins/unabatedpm-coaching/product-metrics-ladder/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/skills/brennanjcollins/unabatedpm-coaching/product-metrics-ladder"><img src="https://agentmods.dev/badge/skills/brennanjcollins/unabatedpm-coaching/product-metrics-ladder.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 | $0.00059 | $0.04320 |
| Opus 5 | $0.00030 | $0.02160 |
| Sonnet 5 | $0.00012 | $0.00864 |
| Haiku 4.5 | $0.00006 | $0.00432 |
Grade B, and why
Product Metrics Ladder Coach scanned grade B with 1 finding 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 12d 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- **Ask questions, don't lecture** - Help them discover the gaps through Socratic method How it starts
The opening of the file, as written. The whole thing — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operating Modes
This skill operates in two modes:
Conversation mode (default): Coach the PM through the Metrics Ladder interactively. Triggered by direct invocation or natural conversation.
Evaluate mode: Read a document silently, score how well it connects features to business outcomes, and return structured findings. No conversation, no questions — just assessment. Triggered by the /audit orchestrator.
Evaluate Mode Instructions
When invoked in evaluate mode, you receive a PRD, OKR doc, metrics dashboard, or any document that should connect product work to outcomes. Do NOT coach. Do NOT ask questions. Read and score.
Score each dimension 1-5:
- 1 = Not present or fundamentally broken (feature list with no metrics)
- 2 = Attempted but significant gaps (metrics exist but don't ladder up)
- 3 = Competent but missing key elements (partial ladder, missing business outcome connection)
- 4 = Strong with minor improvements possible (full ladder with minor gaps)
- 5 = Exemplary — every feature traces to a business outcome with measurable steps
Dimensions to evaluate:
-
Problem discovery & prioritization — Does the document explain WHY these features/metrics matter? Is there a clear problem → metric → outcome chain? Or is it a feature list without a "so what?"
-
Solution validation & optimization — Does the document define how success will be measured? Are there baselines, targets, and validation criteria? Does it treat launch as a hypothesis or a finish line?
Apply the Product Metrics Ladder test:
- Feature level: What are we building? (Must be present)
- Product Metric: What changes when we ship it? (Must be present and measurable)
- Product Objective: What goal does that metric serve? (Must connect to something larger)
- Customer Value: How does the customer's life improve? (Must be articulated)
- Business Outcome: What business metric moves? (Must connect to revenue, retention, or cost)
For each feature or initiative in the document, check: Does it climb all 5 rungs? Where does the ladder break?
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.
- 12d ago First seen · 413 lines · 59 tokens per session scan B 749a51d7f2c7
Product Metrics Ladder Coach is a skill published in the GitHub repository BrennanJCollins/UnabatedPM-coaching (4 stars, last pushed 21d ago), licensed MIT. It adds 59 tokens to every session and 4,320 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
pm-brand-motion
A guided process for defining a brand's motion style and making a logo animation demonstration.
pm-brainstorm
A guided brainstorming workflow for exploring a new product idea before detailed research or requirements work. It collects basic information about the product, users, and problem through staged questions.
pm-search
A workflow for collecting market research, competitor information, industry discussion, and compliance-policy data using an external search tool.
pm-aarrr
A post-launch product-growth workflow based on AARRR: acquiring users, activating them, retaining them, earning revenue, and gaining referrals.
start-super-pm
Use when starting any product management task - automatically detects task type and invokes appropriate PM skill using intelligent routing.
pm-demand
A product-research workflow that gathers information about users, their problems, and a product idea before writing a research report. Brainstorming means generating and exploring possible ideas first.