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 pnl-translationgit 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/pnl-translation)<a href="https://agentmods.dev/skills/brennanjcollins/unabatedpm-coaching/pnl-translation"><img src="https://agentmods.dev/badge/skills/brennanjcollins/unabatedpm-coaching/pnl-translation/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/pnl-translation"><img src="https://agentmods.dev/badge/skills/brennanjcollins/unabatedpm-coaching/pnl-translation.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 | $0.08727 |
| Opus 5.5 | $0.00024 | $0.03491 |
| Sonnet 5.5 | $0.00012 | $0.01745 |
| Haiku 4.5 | $0.00006 | $0.00873 |
Grade A, and why
P&L Translation Coach 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 — 1,023 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 P&L translation interactively. Triggered by direct invocation or natural conversation.
Evaluate mode: Read a document silently, score its P&L reasoning, 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 budget request, business case, or strategy document. Do NOT coach. Do NOT ask questions. Read and score.
Score each dimension 1-5:
- 1 = Not present or fundamentally broken
- 2 = Attempted but significant gaps
- 3 = Competent but missing key elements
- 4 = Strong with minor improvements possible
- 5 = Exemplary — would pass CFO review
Dimensions to evaluate:
-
Business models & pitching internally — Does the document frame the product as a profit center or cost center? Is contribution margin calculated (Revenue - Variable Costs)? Is gross margin addressed? Can the PM articulate revenue, COGS, and profit impact? Or is the product treated as pure cost center with engagement metrics used for defense?
-
Pricing & monetization — Are budget requests defended with ROI calculations (revenue benefit vs cost investment)? Is payback period calculated? Are unit economics considered (customer acquisition cost, customer lifetime value)? Or are budgets defended with user metrics ("users love it," engagement growth) without financial impact?
Red flags to check:
- Budget defended with engagement metrics instead of financial metrics
- Confusing revenue with profit (claiming revenue as if it's profit)
- No COGS awareness (treating all costs as OpEx instead of variable costs)
- Product treated as pure cost center without revenue attribution
- Missing contribution margin calculation
- No ROI or payback period analysis
- Comparing products only by cost, not by contribution margin
- Using MAU or NPS as budget defense instead of P&L impact
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 · 1,023 lines · 59 tokens per session scan A e8f4836a207c
P&L Translation Coach is a skill published in the GitHub repository BrennanJCollins/UnabatedPM-coaching (5 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 8,727 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 2026-08-31.
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