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 alivirgo/Major-AI-Skills --skill fill-in-missing-assumptionsgit clone --depth 1 https://github.com/alivirgo/Major-AI-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/alivirgo/major-ai-skills/fill-in-missing-assumptions)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/fill-in-missing-assumptions"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/fill-in-missing-assumptions/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/alivirgo/major-ai-skills/fill-in-missing-assumptions"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/fill-in-missing-assumptions.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 | $0.00022 | $0.01062 |
| Opus 5 | $0.00011 | $0.00531 |
| Sonnet 5 | $0.00004 | $0.00212 |
| Haiku 4.5 | $0.00002 | $0.00106 |
Grade A, and why
fill-in-missing-assumptions 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 yesterday.
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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask AI to List Its Hidden Assumptions (AI Skill)
Overview
Every time an AI answers a strategic, financial, or technical question, it silently fills undefined variables with default assumptions (e.g., assuming you have infinite bandwidth, a $50k monthly budget, standard US legal jurisdiction, or a team of 10 senior engineers).
The Assumption Surfacing Protocol forces the AI to declare all latent premises underneath its analysis - allowing you to adjust flawed presuppositions before making expensive decisions.
The Assumption Extraction Framework
┌─────────────────────────────────────────────────────────────┐
│ Assumption Surfacing Engine │
│ │
│ [ RECOMMENDATION / PLAN ] │
│ │ │
│ ▼ │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ 1. INFRASTRUCTURE & TECH: Versions, tools assumed │ │
│ │ 2. TRAFFIC & SCALE: Requests/sec, database size │ │
│ │ 3. BUDGET & RESOURCES: Team headcount, licensing cost │ │
│ │ 4. USER BEHAVIOR: Conversion rates, latency tolerance │ │
│ └───────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ [ Sensitivity Check: If Assumption X changes $\rightarrow$ Impact ]│
└─────────────────────────────────────────────────────────────┘
Master Assumption-Audit Prompt Templates
Pattern 1: The Pre-Flight Assumption Audit
Use whenever receiving a complex technical, business, or marketing plan:
Review the plan you just proposed above.
List your **Top 4 Core Assumptions** across these categories:
1. **Technical / Environment Assumptions**: (e.g. cloud provider, SDK versions, OS)
2. **Scale & Traffic Assumptions**: (e.g. daily active users, requests per second)
3. **Resource & Team Assumptions**: (e.g. implementation hours, skillset required)
4. **Economic & Cost Assumptions**: (e.g. ongoing SaaS fees, egress costs)
For each assumption, answer:
*"If this assumption is false, what is the single biggest risk to the plan?"*
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.
- yesterday Changed · -14 tokens per session 2bc8e591a624
- 7d ago First seen · 107 lines · 36 tokens per session scan A f66ad257dc7c
fill-in-missing-assumptions is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 1,062 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 2026-09-05.
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