PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
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/mohitagw15856/pm-claude-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/rules/mohitagw15856/pm-claude-skills/the-org-simulator)<a href="https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/the-org-simulator"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/the-org-simulator/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/rules/mohitagw15856/pm-claude-skills/the-org-simulator"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/the-org-simulator.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 | $0.00105 | $0.01426 |
| Opus 5 | $0.00053 | $0.00713 |
| Sonnet 5 | $0.00021 | $0.00285 |
| Haiku 4.5 | $0.00011 | $0.00143 |
Grade A, and why
the-org-simulator 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 13d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Org Simulator Skill
Org changes are designed on the box-and-line level and experienced on the who-do-I-report-to-now level. The gap between those two is where reorgs fail: the map made sense, but the two best engineers quit, the middle managers went quiet, and the memo leaked on Tuesday before the Thursday announcement. This skill simulates the experienced version before the announced version exists — seat by seat for the key people, faction by faction for the rest, plus the one test almost nobody runs: reading the memo as the person it demotes, on a screenshot, out of context.
What This Skill Produces
- A winners / losers / undecided map — by named seat for key people, by group for the rest: what each actually loses or gains (scope, status, access, headcount, identity), not what the memo says they gain
- A friction forecast: the 5–8 specific breakpoints of the first 90 days, each with likelihood, blast radius, and the cheap preventative
- The leak test: the announcement read as a screenshot by its least charitable reader, plus what the corridor version of it will say by Friday
- A sequenced rollout plan: who hears it in which order, from whom, with the one question each conversation must answer
Required Inputs
Ask for (if not already provided):
- The change: current structure → proposed structure, and the honest why (the memo-why and the real-why, if different — the simulation needs both)
- The key seats affected: names/roles, current scope, and what's known of their ambitions and frustrations
- History that shapes reception: previous reorgs and how they went, standing rivalries, recent departures
- Timing and constraints: what's fixed, what's still movable, who already knows
Process
- Simulate seats, not boxes. For each key person: scope Δ, status Δ (title, audience, room access), boss Δ, identity Δ ("am I still the platform person?"). Losses count double — people fight losses harder than they chase gains. Mark each seat: champion / accepter / quiet-resister / flight-risk, with the because.
- Find the undecideds. The middle managers and senior ICs who could go either way decide reorg outcomes; list who they'll ask about it in the first 24 hours — those people, not the memo, are the actual communication channel.
- Forecast friction concretely. Not "there may be resistance" but "the two platform leads now share one headcount pool and will collide at Q3 planning". For each: likelihood, blast radius, the cheap preventative available before announcement (a scope clarification, a title fix, a pre-conversation).
- Run the leak test. Rewrite the draft announcement's message as received by its least charitable reader from a screenshot with no context, no Q&A, no follow-up meeting. If the leaked version is fatal, the announcement isn't ready. Then write the corridor version — the one sentence people will actually repeat — and check it's survivable.
- Sequence the rollout. Order: losers first, privately, from someone they trust (hearing it in the all-hands is how flight-risks convert) → undecideds' influencers → champions armed with the honest FAQ → everyone. Each conversation gets the one question it must answer for that hearer. Pressure-test the final plan against [[machiavelli-counsel]]'s friends-of- the-old-order column if politics run deep.
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.
- 13d ago First seen · 122 lines · 105 tokens per session scan A 8eea4f5ba5c4
the-org-simulator is a cursor rule published in the GitHub repository mohitagw15856/pm-claude-skills (1,357 stars, last pushed yesterday), licensed MIT. It adds 105 tokens to every session and 1,426 once invoked, about $0.0005 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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