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 hardiktiwari/PM-operating-OS --skill what-ifgit clone --depth 1 https://github.com/hardiktiwari/PM-operating-OSWrote 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/hardiktiwari/pm-operating-os/what-if)<a href="https://agentmods.dev/skills/hardiktiwari/pm-operating-os/what-if"><img src="https://agentmods.dev/badge/skills/hardiktiwari/pm-operating-os/what-if/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/hardiktiwari/pm-operating-os/what-if"><img src="https://agentmods.dev/badge/skills/hardiktiwari/pm-operating-os/what-if.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 | $0.00043 | $0.01029 |
| Opus 5 | $0.00022 | $0.00515 |
| Sonnet 5 | $0.00009 | $0.00206 |
| Haiku 4.5 | $0.00004 | $0.00103 |
Grade A, and why
what-if 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.
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What-If Simulation
Simulate the impact of a proposed product decision by reasoning over accumulated organizational context — strategy, past decisions, customer feedback, and execution history. This is the "world model" layer: if the system can answer "what if" grounded in real context, it's more than a search index.
When to Use
- Evaluating a proposed prioritization change ("What if we deprioritize mobile?")
- Assessing a strategic pivot ("What if we shift ICP from SMB to enterprise?")
- Analyzing experiment patterns ("We've killed 3 pricing experiments — what does that mean?")
- Trade-off decisions ("Should we invest in feature A or feature B?")
- Risk assessment ("What's the blast radius of cutting this team's scope?")
- When asked "what if", "what would happen", "simulate", "impact analysis", or "trade-off analysis"
Process
1. Clarify the Hypothetical
Ask if not clear from context:
- Proposed action: What change is being considered? (1 sentence)
- Scope: What does it affect? (product, team, segment, timeline)
- Constraint: Is this reversible? What's the time horizon?
2. Load Context
Read the following to ground the simulation in actual organizational context:
knowledge/(strategy, segments, metrics, competitive landscape) — the baseline "world model"memory/decisions/— past decision traces for precedent and patternmemory/feedback/— customer signals that would be affectedmemory/weekly-plans/— current execution state and momentummemory/strategy-reviews/— alignment patterns and recurring gaps
3. Run the Simulation
For the proposed action, analyze:
A. Strategic Impact
- Which strategic pillars does this strengthen? Which does it weaken?
- Does this move toward or away from stated goals?
- Precedent: have similar decisions been made before? What happened?
B. Customer Impact
- Which customer segments are affected? (reference
knowledge/customer-segments.md) - Does customer feedback data support or contradict this direction?
- What customer pain points get addressed vs. neglected?
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 · 128 lines · 43 tokens per session scan A b8d477604a6a
what-if is a skill published in the GitHub repository hardiktiwari/PM-operating-OS (5 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 1,029 once invoked, about $0.0002 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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