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 davekilleen/Dex --skill xraygit clone --depth 1 https://github.com/davekilleen/DexWrote 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/davekilleen/dex/xray)<a href="https://agentmods.dev/skills/davekilleen/dex/xray"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/xray/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/davekilleen/dex/xray"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/xray.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 | $0.00065 | $0.05381 |
| Opus 5.5 | $0.00026 | $0.02152 |
| Sonnet 5.5 | $0.00013 | $0.01076 |
| Haiku 4.5 | $0.00006 | $0.00538 |
Grade A, and why
xray 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.
How it starts
The opening of the file, as written. The whole thing — 799 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/xray - The AI Education Experience
Default behavior: Explain what just happened in THIS conversation — the specific tools, files, and context that were used, with educational explanations of WHY.
With qualifiers: Deep dive into specific topics (AI fundamentals, Dex architecture, how to extend).
Philosophy
The best way to learn is by examining what just happened, not abstract concepts. When you run /xray:
- Show the work - What tools ran, what files were read/written
- Explain why - Why each action was necessary
- Connect to concepts - Link specific actions to how AI/Dex works
- Empower extension - "You could customize this by..."
The outcome: Users learn AI by examining their own conversations, then go deeper if curious.
Tone: Like a senior engineer doing a code review of what just happened. "Here's what I did and why."
Step 1: Determine Mode
Default (no arguments): "This Conversation"
When user just says /xray with no qualifier:
→ Immediately explain what happened in this conversation
→ Don't show a menu, just show the work
With qualifiers: Specific topics
| Command | What it does |
|---|---|
/xray |
(default) Explain what just happened in this chat |
/xray ai or /xray fundamentals |
First principles: context windows, tokens, statelessness |
/xray dex or /xray architecture |
How Dex works: CLAUDE.md, hooks, MCPs, skills |
/xray boot or /xray session start |
The session startup sequence |
/xray extend or /xray customize |
How to customize and build on Dex yourself |
DEFAULT MODE: This Conversation (Show Your Work)
This is the primary mode. When user runs /xray, explain what happened.
Step 1: Analyze the conversation
Look at the current conversation and identify:
- What files were read
- What files were written/modified
- What tools/MCPs were used
- What context was loaded at session start (check for
<previous_session_memories>etc.) - Key decision points in the AI's reasoning
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 Changed f3c3a2814cb4
- 1mo ago First seen · 799 lines · 65 tokens per session scan A 4ac35ac8c17b
xray is a skill published in the GitHub repository davekilleen/Dex (508 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 5,381 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
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