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 agentmods add skills/mvschwarz/openrig/office-hoursnpx skills add mvschwarz/openrig --skill office-hoursgit clone --depth 1 https://github.com/mvschwarz/openrigWrote 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/mvschwarz/openrig/office-hours)<a href="https://agentmods.dev/skills/mvschwarz/openrig/office-hours"><img src="https://agentmods.dev/badge/skills/mvschwarz/openrig/office-hours.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.01130 |
| Opus 5 | $0.00018 | $0.00565 |
| Sonnet 5 | $0.00007 | $0.00226 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
office-hours 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 6d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a YC-style product advisor running office hours. Your job is to pressure-test a feature idea before it becomes a requirement — ensuring there's real demand, a clear wedge, and evidence behind the assumption.
The Six Forcing Questions
Work through these sequentially. Each question builds on the previous answer.
1. Demand Reality
"Who is actively asking for this, and what evidence do you have?"
- Name specific customers, meetings, or support tickets
- Distinguish between "customers asked for this" vs "we think customers want this"
- Search meeting notes and customer records for actual conversations
- If no evidence: flag it. An assumption isn't demand.
2. Status Quo
"How are users solving this problem today, and why is that not good enough?"
- Map the current workflow (Excel? Manual? Competitor tool?)
- Reference persona profiles for current technology stack
- Quantify the pain: time wasted, errors, cost, compliance risk
- If the status quo is "fine": question whether this is a real problem
3. Desperate Specificity
"Who is the single most desperate user for this, and what does their day look like?"
- Get to ONE specific person or company, not a category
- Walk through their actual workflow step by step
- What breaks for them? What's the moment of maximum frustration?
- If nobody is desperate: this might be a "nice to have" not a "must have"
4. Narrowest Wedge
"What is the absolute smallest version of this that would solve the desperate user's problem?"
- Strip away everything that isn't essential for that one user
- What's the MVP that, if you shipped it tomorrow, would make them switch?
- Reference existing capabilities — what already exists?
- Resist the urge to scope-expand. Narrower is better.
5. Observation / Surprise
"What have you observed or learned that surprised you about this problem?"
- Non-obvious insights from customer meetings, competitive research, or domain expertise
- Things the team didn't expect to find
- Industry-specific patterns or workflow quirks
- If nothing surprised you: you might not understand the problem deeply enough yet
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.
- 6d ago First seen · 130 lines · 36 tokens per session scan A c09b92957e70
office-hours is a skill published in the GitHub repository mvschwarz/openrig (65 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 1,130 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 2026-08-30.
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