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 OutlineDriven/odin-claude-plugin --skill batch-ask-megit clone --depth 1 https://github.com/OutlineDriven/odin-claude-pluginWrote 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/outlinedriven/odin-claude-plugin/batch-ask-me)<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/batch-ask-me"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/batch-ask-me/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/outlinedriven/odin-claude-plugin/batch-ask-me"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/batch-ask-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 12 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Agent Snooping · line 27 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00070 | $0.00686 |
| Opus 5 | $0.00035 | $0.00343 |
| Sonnet 5 | $0.00014 | $0.00137 |
| Haiku 4.5 | $0.00007 | $0.00069 |
Grade A, and why
batch-ask-me 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 8d 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch Ask Me
Walk a complex decision space with the user in rounds, using a design tree to keep every question dependency-respecting. The frontier is every decision whose prerequisites are already settled: the questions you can ask now without guessing at answers you haven't heard yet.
Each round, ask the whole frontier as a batch of single-select questions, each with a recommended answer. Wait for the user's answers, then recompute the frontier and ask the next round. A question whose answer depends on another open question belongs to a later round, not this one.
Finding facts is your job, not the user's. When a frontier question needs an environmental fact (filesystem, tools, codebase, etc.), dispatch a sub-agent to find it; never ask the user for something you could look up yourself. A running exploration is an unsettled prerequisite; only its downstream questions wait, so ask the rest of the frontier now.
The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on the result until the user confirms you have reached a shared understanding.
Verbalized Sampling
Before round one, run Verbalized Sampling (VS) to ground the design tree:
- Sample multiple intent hypotheses, each with an explicit weight (0 to 1 scale) and a concrete falsifier.
- Present the weighted hypotheses and falsifiers visibly immediately before the first question batch.
- Seed the roots of the design tree and the initial frontier using the surviving hypotheses.
Do not resample VS on subsequent rounds unless user answers materially change the survivor set. If resampling is triggered, update the survivor set, adjust the design-tree roots, and recompute the frontier.
Question shape
Follow the AskUserQuestion contract and override-checklist antipattern from skills/askme/SKILL.md: one single-select question per axis, mark the recommended option first with (Recommended), at most four questions per fire, and never use multiSelect for override semantics.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 46 lines · 70 tokens per session scan A 90afa4683cad
batch-ask-me is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 686 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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