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/legacybridge-tech/claude-plugins/cross-domain-thinkingnpx skills add legacybridge-tech/claude-plugins --skill cross-domain-thinkinggit clone --depth 1 https://github.com/legacybridge-tech/claude-pluginsWrote 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/legacybridge-tech/claude-plugins/cross-domain-thinking)<a href="https://agentmods.dev/skills/legacybridge-tech/claude-plugins/cross-domain-thinking"><img src="https://agentmods.dev/badge/skills/legacybridge-tech/claude-plugins/cross-domain-thinking.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 | $0.00034 | $0.02017 |
| Opus 5 | $0.00017 | $0.01009 |
| Sonnet 5 | $0.00007 | $0.00403 |
| Haiku 4.5 | $0.00003 | $0.00202 |
Grade A, and why
cross-domain-thinking 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 6d 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Domain Thinking
A methodological toolkit for discovering and articulating connections across disciplines.
When to Invoke This Skill
- User explores a concept that has structural parallels elsewhere
- User asks "how does X relate to Y" across different fields
- User seeks novel applications of an idea
- Discussion would benefit from unexpected analogies
- User explicitly requests cross-domain analysis
- Keywords: "connections between", "analogy", "isomorphic", "parallel", "transfer"
Four Modes of Connection
1. Isomorphic Patterns
Identify structural similarities that transcend domain boundaries.
Process:
- Abstract the core structure from Domain A (strip domain-specific details)
- Identify the same structure appearing in Domain B
- Articulate what the isomorphism reveals about both domains
Examples:
- Feedback loops: thermostats, market equilibrium, homeostasis, habit formation
- Network effects: epidemics, viral content, neural activation, social movements
- Emergence: ant colonies, market prices, consciousness, language evolution
Output format:
"The structure here is [abstract pattern]. This same structure appears in [Domain B] as [concrete manifestation]. What this reveals: [insight about the deeper principle]."
2. Conceptual Bridges
Use a principle from one field to illuminate another.
Process:
- Identify a well-developed concept in Domain A
- Find a less-understood phenomenon in Domain B
- Apply A's conceptual framework to generate new understanding of B
Examples:
- Entropy (physics) -> Information theory -> Organizational decay
- Natural selection (biology) -> Memetics -> Algorithm design
- Margin of safety (engineering) -> Portfolio theory -> Decision-making under uncertainty
Output format:
"In [Domain A], [concept] works by [mechanism]. Applying this lens to [Domain B]: [new interpretation]. This suggests [actionable insight or prediction]."
3. Novel Applications
Transfer solutions or techniques across contexts.
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.
- 6d ago First seen · 242 lines · 34 tokens per session scan A 28aefe5e604c
cross-domain-thinking is a skill published in the GitHub repository legacybridge-tech/claude-plugins (6 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 2,017 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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