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analyze-code

/analyze-code

Comprehensive code explanation and analysis. Use when user says "explain this file to me", "what does this code do", "analyze the security of this module", "review the performance of this function", or "help me understand this architecture".

Repository
ai-toolkit ↗
Licence
MIT
Last repository change
23.10.2026

Assessment and security

84/ 100Class: good
Format9 / 25
Frontmatter with name and description, valid name, description up to 1,024 characters, name matching the folder.
Discoverability25 / 25
Description explains when to use the skill, has a reasonable length and uses third person.
Content35 / 35
At least 150 words and at most 500 lines, headings, step lists, examples or code.
Hygiene15 / 15
No placeholders such as TODO, no Windows paths, with a licence.
Riskno signals detected in the scan
Files in this package
2
Scripts
0
HTML comments
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URLs in SKILL.md
0
Deprecation

No signals detected. Repository changed on 23.10.2026, without references to retired models or APIs.

Licence

MIT, open: use and modify while retaining author attribution.

What it does and when to use it

Comprehensive code explanation and analysis. Use when user says "explain this file to me", "what does this code do", "analyze the security of this module", "review the performance of this function", or "help me understand this architecture".

Triggers from the description

explain this file to mewhat does this code doanalyze the security of this modulereview the performance of this functionhelp me understand this architecture
Original author description

Comprehensive code explanation and analysis. Use when user says "explain this file to me", "what does this code do", "analyze the security of this module", "review the performance of this function", or "help me understand this architecture".

How it works

  1. Execution Steps
  2. Analysis Depth
  3. Focus Areas
  4. Output Includes
  5. Delegation
  6. Examples
  7. Detailed Reference
Original SKILL.md headings · 81 lines, 493 words
SKILL.md preview
---
description: Comprehensive code explanation and analysis. Use when user says "explain this file to me", "what does this code do", "analyze the security of this module", "review the performance of this function", or "help me understand this architecture".
allowed-tools: Read, Grep, Glob, Bash(git show:*), Bash(git ls-files:*), Task(subagent_type:code-explainer-agent), Task(subagent_type:security-analyzer-agent), Task(subagent_type:performance-analyzer-agent), Task(subagent_type:context-loader-agent)
model: opus
---

# Code Analyzer

Provide comprehensive code explanation through multi-agent analysis for architecture, patterns, security, and performance insights.

## Execution Steps

1. **Identify the target** — Extract the file path or module name from the user's request. If no target is specified, ask: "Which file or module would you like me to analyze?"

2. **Verify the target exists** — Use `Read` or `Glob` to confirm the file exists. If it doesn't, report and stop: "Could not find `<path>`. Please check the path and try again."

3. **Infer analysis depth** from the user's request:

   - `overview` — request uses words like "quick", "summary", "briefly", "what does this do"
   - `deep` — request mentions "security", "performance", "vulnerabilities", "thorough", "deep", "comprehensive"
   - `architectural` — request mentions "architecture", "system", "how does this fit", "overall design"
   - **Default to `overview` when depth is ambiguous.** `deep` spawns three agents; running
     that for "what does this file do" costs three context loads to answer a one-agent
     question. Escalate to `deep` only on evidence — the user asked for it, `overview`
     surfaced a concrete security or performance concern, or the target is a trust boundary
     (auth, payments, external input parsing).

4. **Dispatch agents** based on depth:

   - `overview`: spawn **code-explainer-agent** only; pass the file path and its contents
   - `deep`: spawn **code-explainer-agent** + **security-analyzer-agent** + **performance-analyzer-agent** in parallel
   - `architectural`: run **context-loader-agent** first to gather system-level context, then spawn **code-explainer-agent** + **security-analyzer-agent** + **performance-analyzer-agent** in parallel with that context

5. **Synthesize results** — Combine agent outputs into a single structured report. Integrate and deduplicate findings; do not dump raw agent output.

6. **Handle agent failures** — If an agent errors or returns empty output, note it in the report ("Security analysis unavailable") and continue with remaining results.

## Analysis Depth

| Depth           | Description            | Agents Used                                             |
| --------------- | ---------------------- | ------------------------------------------------------- |
| `overview`      | Quick summary          | code-explainer                                          |
| `deep`          | Comprehensive analysis | code-explainer, security-analyzer, performance-analyzer |
| `architectural` | System-level context   | All agents + context-loader                             |

## Focus Areas

- **patterns**: Design patterns, SOLID, anti-patterns
- **security**: Vulnerabilities, input validation, auth
- **performance**: Algorithm complexity, memory, queries
- **all**: Complete analysis (default)

## Output Includes

- **Summary**: Purpose and the concrete complexity signals observed (function count, nesting
  depth, file length). Do not emit a maintainability score — there is no measurement behind it.
- **Architecture**: Patterns, layers, coupling analysis
- **Functionality**: Main purpose, data flow, side effects
- **Dependencies**: Imports, exports, circular dependencies
- **Risks**: Security, performance, maintainability issues
- **Improvements**: Quick wins and refactoring suggestions

## Delegation

For simple explanations, use **code-explainer-agent** directly.

For deep analysis, coordinate:

- **code-explainer-agent**: Architecture and patterns
- **security-analyzer-agent**: Vulnerability assessment
- **performance-analyzer-agent**: Complexity analysis
- **context-loader-agent**: System-level context

## Examples

```
"Explain src/auth/login.ts to me"
"What does this API endpoint do?"
"Analyze the security of the payment module"
"Is there anything wrong with this code?"
```

## Detailed Reference

For output schemas and advanced options, see [explain-file-guide.md](explain-file-guide.md).
Files in this package (2)
  • SKILL.md 4 KB
  • explain-file-guide.md 8 KB

Versions

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Database snapshot: 13.11.2026 · package version 485c4371d60f (SHA-256 digest of the entire package)

Downloads in the last 30 days: 0 · ranking

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