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 explore-resumegit 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/explore-resume)<a href="https://agentmods.dev/skills/yogsoth-ai/north-star-crystallization/explore-resume"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/explore-resume/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/yogsoth-ai/north-star-crystallization/explore-resume"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/explore-resume.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00043 | $0.00246 |
| Opus 5 | $0.00022 | $0.00123 |
| Sonnet 5 | $0.00009 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
explore-resume 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.
What it actually says
Explore Resume
Build a comprehensive picture of who the user is professionally and academically.
Execution
Dialogue — inline, no subagent.
What to Ask About (one at a time)
- Technical stack (languages, frameworks, tools they're proficient in)
- Project experience (what have they built or contributed to)
- Course/research experience (what have they studied formally)
- Publications (if any — papers, preprints, technical reports)
- Current research directions (what are they working on now)
- Areas of interest beyond current experience (what excites them that they haven't done yet)
Key Behaviors
- Allow user to express interest in areas outside their resume — this is not a constraint-gathering exercise
- In cold-start: user may not know what they can do. That's fine — capture what they've done and what excites them
- Execute once only. Never re-run this SOP.
Output
Background 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.
- 8d ago First seen · 33 lines · 43 tokens per session scan A 7f86aa0e0a10
explore-resume 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 43 tokens to every session and 246 once invoked, about $0.0002 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 2026-08-31.
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