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 present-candidatesgit 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/present-candidates)<a href="https://agentmods.dev/skills/yogsoth-ai/north-star-crystallization/present-candidates"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/present-candidates/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/present-candidates"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/north-star-crystallization/present-candidates.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 | $0.00064 | $0.00277 |
| Opus 5 | $0.00032 | $0.00138 |
| Sonnet 5 | $0.00013 | $0.00055 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
present-candidates 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 9d 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
Present Candidates
Analyze + present sub-directions as ranked candidates.
Execution
Dialogue — inline, CC does the analysis and presents directly.
What to Do
- From broad-paper-search and deep-web-search results, identify distinct sub-directions within the chosen field
- For each sub-direction, assess: current activity level, gap size, skill fit with ActorProfile
- Rank and present to user
Depth Scales by Start Mode
- cold-start: "Here are the broad sub-directions you could pursue in [field]"
- warm-start: "Within [direction], here are the specific sub-problems and research tracks"
- hot-start: "For [specific topic], here are the granular knowledge points and technical details to consider"
What to Ask (one at a time)
- Which of these excites you most?
- Where do you think you could make a unique contribution?
Output
RankedCandidates[] + user's selection.
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.
- 9d ago First seen · 35 lines · 0 tokens per session scan A ebd525b1b0a2
present-candidates 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 64 tokens to every session and 277 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 2026-08-31.
Other skills, from other repositories
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architecture-design
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daily-paper-generator
Use when the user asks to generate daily paper digests on a general topic. This skill supports both arXiv and bioRxiv (or either one), then produces structured Chinese/English summaries for selected papers.
ads-launch
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