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 batch-small-questions-togethergit 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/batch-small-questions-together)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/batch-small-questions-together"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/batch-small-questions-together/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/batch-small-questions-together"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/batch-small-questions-together.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 | $0.00021 | $0.01194 |
| Opus 5.5 | $0.00008 | $0.00478 |
| Sonnet 5.5 | $0.00004 | $0.00239 |
| Haiku 4.5 | $0.00002 | $0.00119 |
Grade A, and why
batch-small-questions-together scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch Small Questions Together (Token Batching) (AI Skill)
Overview
Every time you send a new message in an ongoing AI conversation, the entire previous chat history is re-sent as input tokens. Sending 5 separate, one-sentence questions sequentially creates quadratic context accumulation ($O(N^2)$ token costs), triggering rate limits and wasting time.
Token Batching is the practice of combining 3 to 5 related micro-questions into a single structured prompt, receiving a clean, multi-part answer in one fast round-trip.
The Economics of Context Accumulation
┌─────────────────────────────────────────────────────────────┐
│ Sequential vs. Batched Calls │
│ │
│ Sequential (5 separate messages): │
│ Turn 1: Base Context (500 tokens) │
│ Turn 2: Base Context + Turn 1 (1,200 tokens) │
│ Turn 3: Base Context + Turns 1-2 (1,900 tokens) │
│ Turn 4: Base Context + Turns 1-3 (2,600 tokens) │
│ Turn 5: Base Context + Turns 1-4 (3,300 tokens) │
│ Total Tokens Billed: ~9,500 tokens (5 round trips) │
│ │
│ Batched (1 message with 5 sub-questions): │
│ Turn 1: Base Context + 5 Sub-questions (750 tokens) │
│ Total Tokens Billed: ~1,500 tokens (84% Savings, 1 Trip) │
└─────────────────────────────────────────────────────────────┘
Master Batching Prompt Templates
Pattern 1: The Numbered Q&A Batch (Research & Fact-Finding)
Based on the attached documentation / topic of [TOPIC], answer these 4 specific questions in order:
1. **Prerequisites**: What specific SDK version and runtime is required?
2. **Pricing**: What is the free-tier allowance vs. overage cost per 1k requests?
3. **Authentication**: Does this use OAuth2 Bearer tokens or static API keys?
4. **Rate Limits**: What are the requests-per-minute (RPM) limits for standard accounts?
Format each answer as:
**[Number]. [Topic Name]**: [1-2 concise sentences]
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.
- 1mo ago Changed · -17 tokens per session b65a7d3c59ee
- 1mo ago First seen · 109 lines · 38 tokens per session scan A 85c493918536
batch-small-questions-together is a skill published in the GitHub repository alivirgo/Major-AI-Skills (2 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,194 once invoked, about $0.0001 per session on Opus 5.5. 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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