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 huuanh20/awesome-ai-agent-skills --skill collision-zone-thinkinggit clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-skillsWrote 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/huuanh20/awesome-ai-agent-skills/collision-zone-thinking)<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/collision-zone-thinking"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/collision-zone-thinking/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/huuanh20/awesome-ai-agent-skills/collision-zone-thinking"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/collision-zone-thinking.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 | $0.00024 | $0.00551 |
| Opus 5.5 | $0.00010 | $0.00220 |
| Sonnet 5.5 | $0.00005 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
Collision-Zone 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 1mo 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.
This is a copy
88% identical to Collision-Zone Thinking — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collision-Zone Thinking
Overview
Revolutionary insights come from forcing unrelated concepts to collide. Treat X like Y and see what emerges.
Core principle: Deliberate metaphor-mixing generates novel solutions.
Quick Reference
| Stuck On | Try Treating As | Might Discover |
|---|---|---|
| Code organization | DNA/genetics | Mutation testing, evolutionary algorithms |
| Service architecture | Lego bricks | Composable microservices, plug-and-play |
| Data management | Water flow | Streaming, data lakes, flow-based systems |
| Request handling | Postal mail | Message queues, async processing |
| Error handling | Circuit breakers | Fault isolation, graceful degradation |
| Authorization | Border control | Zero-trust, least privilege, audit logs |
| Caching | Human memory | Forgetting curves, tiered memory (L1/L2/L3) |
Process
- Pick two unrelated concepts from different domains
- Force combination: "What if we treated [A] like [B]?"
- Explore emergent properties: What new capabilities appear?
- Test boundaries: Where does the metaphor break?
- Extract insight: What did we learn?
Example Collision
Problem: Complex distributed system with cascading failures
Collision: "What if we treated services like electrical circuits?"
Emergent properties:
- Circuit breakers (disconnect on overload)
- Fuses (one-time failure protection)
- Ground faults (error isolation)
- Load balancing (current distribution)
Where it works: Preventing cascade failures Where it breaks: Circuits don't have retry logic Insight gained: Failure isolation patterns from electrical engineering
Best Source Domains for Collisions
- Physics (thermodynamics, electrical, fluid dynamics)
- Biology (evolution, immune system, neural networks)
- Economics (supply/demand, markets, incentives)
- Psychology (cognitive load, memory, attention)
- Urban planning (traffic flow, zoning, infrastructure)
Red Flags You Need This
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.
- 1mo ago First seen · 73 lines · 24 tokens per session scan A 34071a098320
Collision-Zone Thinking is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 551 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to Collision-Zone Thinking, differing in 12 lines, and is treated as a copy.
Other skills, from other repositories
loop
Work through the taskboard unattended for hours, pacing against the usage limits and filling the gap before a reset with CPU-only jobs. Use when asked to run all day, work unattended, or loop over tickets.
learn
Record a correction, decision, finding or failed attempt in the wiki. Use when the user corrects you, when a decision is made with a reason, when an experiment returns a verdict, or when you learn something the next session would otherwise re-derive.
wrap-up
Close out a task by folding what it taught into the wiki, updating the taskboard, and linting. Use at the end of a task, before clearing a session, or when asked to wrap up.
handoff
Write one self-contained goal that a fresh session can continue from. Use when context is running out, before clearing a session, when usage passes 95% on a long run, or when asked for a handoff.
init
Set up Dory in this repo by exploring it, creating wiki/ from the template, and connecting the usage statusline. Use when a project has no wiki/ yet, or when asked to set up Dory.
check-mcp-json
Safely review, triage, repair, and merge ToolSDK MCP Registry package JSON pull requests. Use when an agent needs to validate files under packages/, detect duplicate registry keys, classify community PRs, make authorized fixes on contributor branches, close invalid or duplicate PRs, or squash-merge approved PRs.