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 yuusakuri/agent-skills --skill identify-assumptions-newgit clone --depth 1 https://github.com/yuusakuri/agent-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/skills/yuusakuri/agent-skills/identify-assumptions-new)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/identify-assumptions-new"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/identify-assumptions-new/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/yuusakuri/agent-skills/identify-assumptions-new"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/identify-assumptions-new.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 | $0.00050 | $0.00730 |
| Opus 5 | $0.00025 | $0.00365 |
| Sonnet 5 | $0.00010 | $0.00146 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade A, and why
identify-assumptions-new 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 11d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identify Assumptions (New Product)
Comprehensive risk identification across 8 categories — extending the 4 core product risks (Teresa Torres, Continuous Discovery Habits) with Ethics, Go-to-Market, Strategy & Objectives, and Team risks that are critical for new products.
Context
You are evaluating assumptions for a new product: $ARGUMENTS.
If the user provides files (business plans, research), read them first.
Domain Context
The 4 core product risks (Teresa Torres, Continuous Discovery Habits): Value, Usability, Viability, Feasibility.
For new products, extend to 8 risk categories. Good teams assume at least three-quarters of their ideas won't perform as they hope.
Instructions
The user will describe the product concept, target segment, and feature idea. Work through these steps:
-
Think from three perspectives about why this product might fail:
- Product Manager: Market demand, willingness to pay, competitive landscape
- Designer: First-time user experience, onboarding, engagement
- Engineer: Build vs. buy decisions, scalability, technical debt
-
Identify assumptions across 8 risk categories:
- Value: Will it create value for customers? Will they keep using it?
- Usability: Will people figure out how to use it? Can we onboard them fast enough? Will it increase cognitive load?
- Viability: Can we sell/monetize/finance it? Is it worth the cost? Can we support customers and help them succeed? Can we scale? Will it be compliant?
- Feasibility: Can we do it with the current technology? Is this integration possible? Can it be efficient? Can we scale it?
- Ethics: Should we do it at all? Are there any ethical considerations? Will it pose a risk for our customers?
- Go-to-Market (especially critical for new products): Can we market it? Do we have the required channels? Can we convince customers to try it? Is this the right messaging for this channel? Is this the right time? Is this the right way to launch it?
- Strategy & Objectives: What are our assumptions? Can others copy our strategy? Have we considered political, economic, legal, technological, and environmental factors? Are those the best problems to solve?
- Team: How well will the team work together? Do we have the right people? Do we have the right tools? Will the entire team stay with us long enough?
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.
- 11d ago First seen · 53 lines · 50 tokens per session scan A 962b1e0c01e4
identify-assumptions-new is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 50 tokens to every session and 730 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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