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-gemini-cli-extension --skill askmegit clone --depth 1 https://github.com/OutlineDriven/odin-gemini-cli-extensionWrote 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-gemini-cli-extension/askme)<a href="https://agentmods.dev/skills/outlinedriven/odin-gemini-cli-extension/askme"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-gemini-cli-extension/askme.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 | $0.00106 | $0.02178 |
| Opus 5 | $0.00053 | $0.01089 |
| Sonnet 5 | $0.00021 | $0.00436 |
| Haiku 4.5 | $0.00011 | $0.00218 |
Grade A, and why
askme 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.
This is a copy
100% identical to askme — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask Me Command
Before proceeding to ask planning questions, you must proactively and critically execute both Verbalized Sampling (VS) and exploration:
- For Verbalized Sampling, sample multiple intent hypotheses, assign each an explicit probability weight (0–1 scale), and identify the specific observation or scenario that would falsify each before selecting a direction. Expand hypothesis depth as ambiguity, risk, or architectural surface grows; keep it concise when scope is truly narrow. Explore meaningful edge cases until additional cases stop changing the decision; broaden sampling if no clear leader emerges. Surface decision points early with concrete options and trade-offs. Synthesize surviving hypotheses into one consolidated direction before responding. Output should stay compact and decision-oriented: intent summary, assumptions, and focused questions. Do not proceed on non-trivial changes without visible VS.
Required VS Output Format:
1. [Weight: 0.42] hypothesis here
- Falsifier: [observation or scenario that would invalidate this]
2. [Weight: 0.28] hypothesis here
- Falsifier: [observation or scenario that would invalidate this]
- For exploration, deliberately seek out unconventional, underexplored, and edge-case possibilities relating to the user's objective, drawing on both the provided context and plausible but non-obvious requirements. Include at least 3 edge cases (at least 5 if architectural), and stop expanding once additional cases no longer change decisions.
Only after completing both critical VS and exploration steps, proceed to use the question tool to ask the maximum possible number of precise, clarifying, and challenging planning questions that holistically address the problem space, taking into account uncertainty, gaps, and ambiguous requirements.
Modes [LOAD-BEARING]
askme is intentionally one skill with three modes (not split into per-mode skills); callers without a mode arg get exhaustive (the original VS protocol) unchanged. The body above describes exhaustive; the two new modes share the AskUserQuestion contract and antipattern guidance below but differ in posture.
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 · 132 lines · 106 tokens per session scan A 510fe244a58d
askme is a skill published in the GitHub repository OutlineDriven/odin-gemini-cli-extension (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 106 tokens to every session and 2,178 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to askme, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
askme
Verbalized Sampling (VS) protocol for intent exploration before planning, mode-aware. Default exhaustive runs full VS; collaborative runs tip-sharing dialogue; adversarial walks the design tree one fork at a time. Auto-detects from phrasing ("help me refine" → collaborative, "poke holes" → adversarial); override via…
design
Set visual and interaction direction for any UI surface (web, React, TUI, CLI, desktop, Qt, design-system tokens) before any UI code. Direction-first: generates 3-4 distinct directions via verbalized sampling, picks one via per-axis single-select, then derives palette, typography, spacing, motion budget. Loads when…
grill-ai-mastery
Hybrid interview that probes AI-engineering mastery by tip-vocabulary depth — entity referencing, loop closure, observability, harness improvement — not by token usage or LOC. Start collaborative (two-way tip exchange), escalate to adversarial probing when depth is lacking. Trigger when the user says "interview me on…
grill-me
Adversarial relentless interview against any plan or design until shared understanding is reached. Walk the decision tree, resolve dependencies one answer at a time, recommend a default per question. Trigger when the user says "grill me", "stress-test this", "interview me about this design", or otherwise asks for…
proof-driven
Proof-driven development. Use when implementing with formal verification using property-based testing, theorem proving, or proof tactics; zero unproven property policy enforced.
fix
Polymorphic iterative repair loop — accept a verifier failure, structured findings (review/resolve/triage-issue), or a bug description; modify→verify→keep on green, auto-revert on guard regression, until clean or iteration cap. Use when the user says "fix", "make it pass", or "apply the findings", or hands an artifact…