Individual skill
xray
Investigate how a concept, code path, application, network flow, system, incident, document, or local artifact actually works, then deliver a two-depth visual HTML explainer with a dead-simple big-picture first layer and source-backed technical depth behind it. Use when the user invokes $xray, asks how something works under the hood, wants a module or app behavior traced across boundaries, requests web, code, network, or safe static artifact research before explanation, or asks for an evidence-backed explainer. Do not use for answer-only definitions, general web design, full codebase audits, or invasive binary reverse engineering without explicit authorization.
skills/xray/SKILL.md
Source commit 238e07625aeca5bcf0d6f7cb3e2d07f94c717194
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 290
- Repository last updated
- Nov 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- ai-coding-assistant Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- productivity Repository topic
- automation Repository topic
- agent-skills Repository topic
- code-review Repository topic
- prompt-engineering Repository topic
- design Derived category
- engineering Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 13,553 bytesSKILL.mdcore · 13,553 bytesSKILL.mdcore · 13,553 bytesSKILL.mdcore · 13,553 bytesSKILL.mdcore · 13,553 bytesSKILL.mdcore · 13,553 bytesSKILL.mdcore · 13,553 bytesSKILL.mdcore · 13,553 bytesagents/openai.yamlasset · 379 bytesassets/concept-explainer.htmlasset · 9,206 bytesassets/feature-explainer.htmlasset · 8,105 bytesevals/evals.jsonasset · 8,056 bytesreferences/chinese-writing.mddoc · 3,860 bytesreferences/code-archaeology.mddoc · 4,825 bytesreferences/evidence-contract.mddoc · 3,320 bytesreferences/research-routing.mddoc · 2,883 bytesreferences/reverse-core.mddoc · 8,387 bytesreferences/visual-explanation.mddoc · 5,178 bytesscripts/render-check.shruns · 1,919 bytes
Read excerpt
# X-Ray Explainer
Investigate first and explain second. The HTML is a projection of verified understanding, not decoration around an early guess.
## Operating Boundary
- Directly perform read-only research, repository inspection, log/config examination, source archaeology, and creation of the requested explainer artifact.
- When the user asks to analyze a clearly identified app, CLI, or local compiled artifact they are entitled to inspect, include safe read-only static inspection when it can answer the teaching question. Record identity and hash first; inspect metadata, signatures, dependencies, imports, recoverable symbols, strings, entitlements, and bundled resources without modifying or executing the target.
- For an authorized native binary or compiled CLI, load `$claude-code-reverse` first and use its tested `extract.sh` workflow as the canonical identity, hash, cache, and safe static baseline. Do not duplicate that baseline inside X-Ray.
- When the canonical static baseline cannot establish the requested mechanism, or the authorized target is an APK, JavaScript bundle, or protocol flow, read [reverse-core.md](references/reverse-core.md). Load only the matching specialist adapter, use tools already available in the environment, and return its evidence to the ordinary X-Ray causal model. Reverse Core is an internal depth route, not a second user-facing skill or a reason to install a full security pack.
- Ask before executing an unknown binary, attaching a debugger, intercepting or decrypting traffic, patching an artifact, installing reverse-engineering tools, using a paid endpoint, touching production, accessing credentials, or changing product code.
- Never bypass access controls, fabricate evidence, or treat agreement between models as corroboration.
- If the target, revision, authorization, or intended audience would materially change the investigation, clarify that one fact before acting.