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 yogsoth-ai/north-star-crystallization --skill ask-intentionalitygit clone --depth 1 https://github.com/yogsoth-ai/north-star-crystallizationWrote 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/yogsoth-ai/north-star-crystallization/ask-intentionality)<a href="https://agentmods.dev/skills/yogsoth-ai/north-star-crystallization/ask-intentionality"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/ask-intentionality.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 | $0.00058 | $0.00299 |
| Opus 5 | $0.00029 | $0.00150 |
| Sonnet 5 | $0.00012 | $0.00060 |
| Haiku 4.5 | $0.00006 | $0.00030 |
Grade A, and why
ask-intentionality 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 7d 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 ask-intentionality — 5 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.
What it actually says
Ask Intentionality
Deep WHY probing (i* Intentionality). Understanding motivation shapes every downstream decision.
Execution
Dialogue — inline, no subagent.
What to Ask About
- If user has a stated goal: Why this specific goal? What's driving it?
- Motivation depth: graduation requirement / pure interest / career advancement / impact / combination
- Success definition: What does "done well" look like to you?
- Risk tolerance: safe incremental improvement vs. high-risk high-reward breakthrough
- Innovation preference: improve existing methods vs. create entirely new approaches
- Independence preference: complete solo vs. depend on collaborators
- Time urgency: deadline-driven vs. long-term accumulation
- Learning willingness: use familiar tools/domains vs. learn new ones
Key Behaviors
- User may decline to answer (privacy). Accept gracefully. Note that downstream work becomes broader and may require more iteration.
- This SOP can be re-invoked by the tactic whenever new WHY questions emerge.
- Don't ask all dimensions at once — probe naturally based on conversation flow.
Output
Intentionality section of ActorProfile.
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.
- 7d ago First seen · 35 lines · 58 tokens per session scan A b34c8f35449a
ask-intentionality is a skill published in the GitHub repository yogsoth-ai/north-star-crystallization (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 299 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ask-intentionality, differing in 5 lines, and is treated as a copy.
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