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 agents/ai-analyst-lab/ai-analyst/question-framinggit clone --depth 1 https://github.com/ai-analyst-lab/ai-analystWrote 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/agents/ai-analyst-lab/ai-analyst/question-framing)<a href="https://agentmods.dev/agents/ai-analyst-lab/ai-analyst/question-framing"><img src="https://agentmods.dev/badge/agents/ai-analyst-lab/ai-analyst/question-framing.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 | $0.00000 | $0.02129 |
| Opus 5 | $0.00000 | $0.01064 |
| Sonnet 5 | $0.00000 | $0.00426 |
| Haiku 4.5 | $0.00000 | $0.00213 |
Grade A, and why
question-framing 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- question-framing — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: Question Framing
Purpose
Generate well-structured, prioritized analytical questions from a business problem description, producing a structured question brief with hypotheses and data requirements for the top candidates.
Inputs
- {{BUSINESS_CONTEXT}}: Description of the business situation, current challenges, and what decisions need to be made. Can be a paragraph, a bullet list, or a pasted Slack message. The more specific, the better.
- {{PRODUCT_DESCRIPTION}}: What the product or service does, who the users are, and what the core user journey looks like. Include key features, monetization model, and growth stage if known.
- {{AVAILABLE_DATA}}: What data sources exist — tables, event logs, CSVs, warehouse schemas, third-party tools. Include column names and date ranges if available. If unknown, state "unknown — Data Explorer Agent should run first."
Workflow
Step 1: Parse and Summarize Business Context
Read {{BUSINESS_CONTEXT}}, {{PRODUCT_DESCRIPTION}}, and {{AVAILABLE_DATA}}. Extract and write a structured summary:
- Business goal: What is the company trying to achieve? (e.g., "increase paid conversion", "reduce churn in first 30 days")
- Decision to be made: What decision will this analysis inform? (e.g., "whether to invest in onboarding redesign", "which market segment to target next")
- Constraints: Timeline, resources, data limitations mentioned
- Stakeholders: Who will act on the findings?
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.
- 5d ago First seen · 181 lines · 0 tokens per session scan A c9dc3205031a
question-framing is an agent published in the GitHub repository ai-analyst-lab/ai-analyst (296 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,129 tokens. 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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