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 ask-short-answer-firstgit 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/ask-short-answer-first)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/ask-short-answer-first"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/ask-short-answer-first/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/ask-short-answer-first"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/ask-short-answer-first.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 | $0.00024 | $0.01043 |
| Opus 5 | $0.00012 | $0.00522 |
| Sonnet 5 | $0.00005 | $0.00209 |
| Haiku 4.5 | $0.00002 | $0.00104 |
Grade A, and why
ask-short-answer-first 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 today.
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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask for Short Answer First (The BLUF Protocol) (AI Skill)
Overview
Default AI outputs follow an academic narrative structure: preamble $\rightarrow$ historical context $\rightarrow$ analysis $\rightarrow$ conclusion. When you need a fast answer during a meeting or while debugging a live incident, digging through 4 paragraphs to find a single line is frustrating and inefficient.
The BLUF (Bottom Line Up Front) Protocol forces the AI into an inverted-pyramid format: deliver the conclusive answer in the first 2 sentences, followed by an optional, structured breakdown.
The Inverted Pyramid Response Architecture
┌─────────────────────────────────────────────────────────────┐
│ The BLUF Output Structure │
│ │
│ [ LEVEL 1: BLUF (Lines 1-2) ] ──► Direct verdict / answer │
│ │ │
│ [ LEVEL 2: Quick Bullet Facts] ──► 3 core supporting facts │
│ │ │
│ [ LEVEL 3: Deep Dive (Optional)──► Full context / code │
└─────────────────────────────────────────────────────────────┘
Master BLUF Prompt Templates
Pattern 1: The Strict 2-Line BLUF Directive
Use for quick facts, terminal commands, or Slack lookups:
Answer this question: [INSERT QUESTION]
Formatting:
1. **Line 1 (The BLUF)**: Give the exact, direct answer or solution in bold. No greetings or preambles.
2. **Line 2**: State the primary reason or key caveat.
3. If I need a deeper explanation, I will ask for it.
Pattern 2: The Two-Tiered Executive Brief
Use for technical architecture, business proposals, or policy questions:
Analyze [SCENARIO / PROBLEM].
Structure your reply in two distinct sections:
### 1. Executive BLUF (Max 50 words)
State the final recommendation, estimated cost/time, and primary trade-off.
### 2. Supporting Breakdown
- 3 key bullet points explaining why this is the best path.
- 1 code snippet or implementation step if applicable.
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.
- today Changed · -12 tokens per session 4596676ecea4
- 11d ago First seen · 109 lines · 36 tokens per session scan A a84c7aab5e03
ask-short-answer-first is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 1,043 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 2026-08-31.
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