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 agentmods add skills/abilityai/cornelius/ai-crystallizenpx skills add Abilityai/cornelius --skill ai-crystallizegit clone --depth 1 https://github.com/Abilityai/corneliusWrote 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/abilityai/cornelius/ai-crystallize)<a href="https://agentmods.dev/skills/abilityai/cornelius/ai-crystallize"><img src="https://agentmods.dev/badge/skills/abilityai/cornelius/ai-crystallize.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 | $0.00054 | $0.02861 |
| Opus 5 | $0.00027 | $0.01430 |
| Sonnet 5 | $0.00011 | $0.00572 |
| Haiku 4.5 | $0.00005 | $0.00286 |
Grade A, and why
ai-crystallize 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 5d 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Crystallize
Autonomous companion to the human crystallization path. Each run synthesizes converged thinking topics into standalone notes written to a dedicated, segregated folder - never Brain/02-Permanent/.
Why this exists: Converged topics pile up faster than a human can crystallize them. This playbook captures the AI's synthesis of each converged topic so the conclusion is not lost - while preserving the one boundary the second brain must never cross autonomously: nothing enters the endorsed permanent knowledge base without an explicit endorsement act by the user.
The boundary, stated plainly:
- This playbook writes ONLY to
Brain/05-Meta/AI Crystallizations/, taggedprovenance: ai-inferred, excluded from semantic indexing. - It NEVER writes to
Brain/02-Permanent/,Brain/AI Extracted Notes/, orBrain/05-Meta/Reports/. - It NEVER changes a topic's
statusin the Thinking Registry (the topic staysconverged), so/manage-thinking-topics crystallizeremains fully available to the user for the real, endorsed crystallization. - Its output is a candidate for human review, not a permanent note.
Design principle
Automate the synthesis, segregate the artifact, gate the endorsement. The AI may draft what it concluded; only the human may promote a conclusion into the knowledge they will reason FROM.
State Dependencies
| Source | Location | Read | Write | Description |
|---|---|---|---|---|
| Thinking Registry | Brain/05-Meta/Thinking/THINKING-REGISTRY.md |
✓ | Find converged topics (read-only - never mutated here) | |
| Thinking Files | Brain/05-Meta/Thinking/[topic-slug].md |
✓ | Source of the converged conclusion (read-only) | |
| AI Crystallizations | Brain/05-Meta/AI Crystallizations/[topic-slug].md |
✓ | ✓ | Output notes (the only write target for content) |
| Crystallization Index | Brain/05-Meta/AI Crystallizations/INDEX.md |
✓ | ✓ | Manifest of what has been AI-crystallized |
| Session Changelogs | Brain/05-Meta/Changelogs/ |
✓ | Run log |
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.
- 5d ago First seen · 231 lines · 54 tokens per session scan A 663057066b99
ai-crystallize is a skill published in the GitHub repository Abilityai/cornelius (106 stars, last pushed 12d ago), licensed MIT. It adds 54 tokens to every session and 2,861 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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