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/product-on-purpose/pm-skillsWrote 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/commands/product-on-purpose/pm-skills/workflow-stakeholder-alignment)<a href="https://agentmods.dev/commands/product-on-purpose/pm-skills/workflow-stakeholder-alignment"><img src="https://agentmods.dev/badge/commands/product-on-purpose/pm-skills/workflow-stakeholder-alignment/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/commands/product-on-purpose/pm-skills/workflow-stakeholder-alignment"><img src="https://agentmods.dev/badge/commands/product-on-purpose/pm-skills/workflow-stakeholder-alignment.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 | $0.00016 | $0.00290 |
| Opus 5 | $0.00008 | $0.00145 |
| Sonnet 5 | $0.00003 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
workflow-stakeholder-alignment 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 10d 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.
What it actually says
Run the Stakeholder Alignment workflow to build a compelling case for leadership buy-in before committing resources.
This workflow uses multiple skills in sequence. For each step, read the skill instructions and follow them to create the artifact.
Workflow Steps
Step 1: Stakeholder Summary
Use the discover-stakeholder-summary skill from skills/discover-stakeholder-summary/SKILL.md.
Map stakeholders, their priorities, concerns, and decision-making criteria.
Step 2: Problem Statement
Use the define-problem-statement skill from skills/define-problem-statement/SKILL.md.
Frame the problem in terms that resonate with your stakeholder audience.
Step 3: Solution Brief
Use the develop-solution-brief skill from skills/develop-solution-brief/SKILL.md.
Propose a solution in a concise, executive-ready format.
Step 4: Launch Checklist
Use the deliver-launch-checklist skill from skills/deliver-launch-checklist/SKILL.md.
Demonstrate execution readiness with a comprehensive launch plan.
Output
Create all four artifacts in sequence, ensuring each builds on the previous.
Reference the Stakeholder Alignment workflow at _workflows/stakeholder-alignment.md for additional guidance.
Context from user: $ARGUMENTS
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.
- 10d ago First seen · 42 lines · 16 tokens per session scan A 59c379405507
workflow-stakeholder-alignment is a command published in the GitHub repository product-on-purpose/pm-skills (652 stars, last pushed yesterday), licensed Apache-2.0. It adds 16 tokens to every session and 290 once invoked, about $0.0001 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.
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