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 skills/codagent-ai/agent-skills/ask-questionsnpx skills add Codagent-AI/agent-skills --skill ask-questionsgit clone --depth 1 https://github.com/Codagent-AI/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/codagent-ai/agent-skills/ask-questions)<a href="https://agentmods.dev/skills/codagent-ai/agent-skills/ask-questions"><img src="https://agentmods.dev/badge/skills/codagent-ai/agent-skills/ask-questions.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 5.1 | $0.00064 | $0.00392 |
| Opus 5 | $0.00032 | $0.00196 |
| Sonnet 5 | $0.00013 | $0.00078 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
ask-questions 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 6d 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.
What it actually says
Ask Questions
Ask only for decisions that materially affect behavior, scope, architecture, risk, sequencing, or acceptance. First inspect the repository, documentation, configuration, prior artifacts, and conversation so the user is not asked for discoverable facts. Decide low-risk implementation details from context.
Ask and wait
Use the runtime's dedicated input tool when one is available. Otherwise ask directly in an interactive chat and end the turn. In a headless session, report the unresolved decision or follow the caller's explicit fallback. Never continue past a question by inventing the user's answer.
Batch two to four related, independent questions by default. Ask serially when one answer determines the next question, the question is an approval gate, or the caller requires one-at-a-time discovery.
Write useful questions
- Explain enough context and impact for the user to decide without reopening source files.
- Use bounded options when the choice space is genuinely bounded; use open-ended questions otherwise.
- Recommend a path and briefly state the trade-off.
- Keep one decision per question.
- Distinguish discovery from approval. A generic “does this look right?” is not a substitute for resolving material behavior, boundaries, failure cases, trade-offs, or task grouping.
- At an approval gate, mention consequential defaults or assumptions you selected from context so the user can correct them; omit routine details.
Do not ask the user to choose among raw, unevaluated implementation options or present an artifact for approval while known high-impact ambiguity remains.
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.
- 6d ago First seen · 39 lines · 64 tokens per session scan A 5e8ada974623
ask-questions is a skill published in the GitHub repository Codagent-AI/agent-skills (30 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 392 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 2026-08-30.
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