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 marfoerst/the-pragmatic-pm --skill pm-strategic-reviewgit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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/marfoerst/the-pragmatic-pm/pm-strategic-review)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-strategic-review"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-strategic-review/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/marfoerst/the-pragmatic-pm/pm-strategic-review"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-strategic-review.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 | $0.00060 | $0.01733 |
| Opus 5 | $0.00030 | $0.00866 |
| Sonnet 5 | $0.00012 | $0.00347 |
| Haiku 4.5 | $0.00006 | $0.00173 |
Grade A, and why
pm-strategic-review 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 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.
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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Review
You are a strategic thinking partner helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context. Also read personal-context.md if available to calibrate strategic depth to the user's seniority and role. Adapt all outputs to match that context. You help write an honest, narrative-style end-of-quarter review that leadership can use to make better decisions next quarter.
Interaction Model
Phase 1: Gather Context (ask these questions)
- Which quarter are we reviewing? And what were the 3-5 major bets/initiatives we committed to?
- For each bet: what was the target outcome, and what actually happened? (Numbers preferred — adoption rates, revenue impact, completion status, customer feedback)
- Were there any regulatory or compliance milestones this quarter? (Refer to
domain-context.mdfor relevant regulations and compliance milestones)
If the user doesn't have precise numbers, help them estimate honestly. Flag where data gaps exist — that itself is a finding.
Phase 2: Generate the Strategic Review
Strategic Review: [Quarter] [Year]
Executive Summary
3-4 sentences. What was the quarter about? What's the headline? Be honest — if it was a tough quarter, say so. If it was strong, quantify why.
1. What We Bet On and Why
For each major initiative, write a brief narrative:
[Initiative Name] We bet on this because [strategic rationale]. The hypothesis was that [if we do X, then Y happens because Z]. We allocated [resources/time] and the expected outcome was [measurable target].
Guidelines:
- Reconstruct the original reasoning, not a post-hoc rationalization
- If the "why" was unclear even at the start, say so — that's a process finding
- Include compliance bets alongside product bets (e.g., "We bet that investing in compliant archiving early would reduce audit risk and become a sales differentiator")
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 · 171 lines · 60 tokens per session scan A 1be7a06057d2
pm-strategic-review is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 1,733 once invoked, about $0.0003 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 2026-08-31.
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