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 jordiboehme/crystalline --skill crystalline-intelligencegit clone --depth 1 https://github.com/jordiboehme/crystallineWrote 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/jordiboehme/crystalline/crystalline-intelligence)<a href="https://agentmods.dev/skills/jordiboehme/crystalline/crystalline-intelligence"><img src="https://agentmods.dev/badge/skills/jordiboehme/crystalline/crystalline-intelligence/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/jordiboehme/crystalline/crystalline-intelligence"><img src="https://agentmods.dev/badge/skills/jordiboehme/crystalline/crystalline-intelligence.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 | $0.00036 | $0.03488 |
| Opus 5 | $0.00018 | $0.01744 |
| Sonnet 5 | $0.00007 | $0.00698 |
| Haiku 4.5 | $0.00004 | $0.00349 |
Grade A, and why
crystalline-intelligence 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 Changed · +2 lines e097e4ca6f74
- 11d ago First seen · 55 lines · 36 tokens per session scan A b02664db3bea
crystalline-intelligence is a skill published in the GitHub repository jordiboehme/crystalline (14 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 36 tokens to every session and 3,488 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.
Other skills, from other repositories
jumbo-add-guideline
Use liberally when the user expresses a preference about how work should be done — coding style, process, testing approach, communication style. Captures the guideline so future sessions follow it without being told again.
jumbo-add-invariant
Use liberally when you discover or are told a non-negotiable constraint — something that must always be true regardless of context. Registers the invariant so future sessions never violate it.
jumbo-context-maintenance
Use when implementation discovers durable project context that must be recorded in Jumbo. Captures decisions, components, dependencies, relations, guidelines, and invariants during the work.
jumbo-correction-capture
Use when the user corrects an approach, constraint, workflow, or style. Converts corrections into Jumbo guidelines or invariants so future sessions receive the constraint.
atomicmemory
Persistent semantic memory across Claude Code sessions — user preferences, project context, prior decisions, codebase facts. Call memorysearch before answering questions that reference past work. Call memoryingest after the user shares durable facts.
atomicmemory-cli
Use the installed AtomicMemory CLI for memory search, ingestion, packaging, diagnostics, and agent-safe JSON output.