SKILL·E979CD

diagramming-code

trailofbits
更新于 14 days ago
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关于

This skill generates Mermaid diagrams from Trailmark code graphs to visualize software architecture. It creates call graphs, class hierarchies, dependency maps, complexity heatmaps, and attack surface visualizations. Developers should use it when they need to diagram code structure, dependencies, or data flows.

快速安装

Claude Code

推荐
主要方式
npx skills add trailofbits/skills -a claude-code
插件命令备选方式
/plugin add https://github.com/trailofbits/skills
Git 克隆备选方式
git clone https://github.com/trailofbits/skills.git ~/.claude/skills/diagramming-code

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Diagramming Code

Generates Mermaid diagrams from Trailmark's code graph. A pre-made script handles Mermaid syntax generation; Claude selects the diagram type and parameters. Trailmark 0.4.0 includes a native trailmark diagram command; use it only after a version/command check, otherwise use this skill's bundled script.

When to Use

  • Visualizing call paths between functions
  • Drawing class inheritance hierarchies
  • Mapping module import dependencies
  • Showing class structure with members
  • Highlighting complexity hotspots with color coding
  • Tracing data flow from entrypoints to sensitive functions

When NOT to Use

  • Querying the graph without visualization (use the trailmark skill)
  • Mutation testing triage (use the genotoxic skill)
  • Architecture diagrams not derived from code (draw by hand)

Prerequisites

trailmark must be installed. If uv run trailmark fails, run:

uv tool install trailmark
# Python snippets: uv run --with trailmark python -   (a tool env is not importable)

DO NOT fall back to hand-writing Mermaid from source code reading. The script uses Trailmark's parsed graph for accuracy. If installation fails, report the error to the user.

Version Gate

Check whether native v0.4 diagram support exists:

trailmark diagram --help 2>/dev/null || uv run trailmark diagram --help 2>/dev/null

If this succeeds, you may use trailmark diagram. If it fails, use uv run {baseDir}/scripts/diagram.py, which keeps the older skill workflow intact. Do not assume the native CLI exists on Trailmark 0.2.x.


Quick Start

uv run {baseDir}/scripts/diagram.py \
    --target {targetDir} --language auto --type call-graph \
    --focus main --depth 2

# Trailmark 0.4.0+ equivalent after the Version Gate succeeds
uv run trailmark diagram \
    --target {targetDir} --language auto --type call-graph \
    --focus main --depth 2

Output is raw Mermaid text. Wrap in a fenced code block:

```mermaid
flowchart TB
    ...
```

Diagram Types

├─ "Who calls what?"               → --type call-graph
├─ "Class inheritance?"             → --type class-hierarchy
├─ "Module dependencies?"           → --type module-deps
├─ "Class members and structure?"   → --type containment
├─ "Where is complexity highest?"   → --type complexity
└─ "Path from input to function?"   → --type data-flow

For detailed examples of each type, see references/diagram-types.md.


Workflow

Diagram Progress:
- [ ] Step 1: Verify trailmark is installed
- [ ] Step 2: Identify diagram type from user request
- [ ] Step 3: Determine focus node and parameters
- [ ] Step 4: Run diagram.py script (or native trailmark diagram on v0.4+)
- [ ] Step 5: Verify output is non-empty and well-formed
- [ ] Step 6: Embed diagram in response

Step 1: Run uv run trailmark analyze --language auto --summary {targetDir}. Install if it fails. Then run pre-analysis via the programmatic API:

from trailmark.query.api import QueryEngine

engine = QueryEngine.from_directory("{targetDir}", language="auto")
engine.preanalysis()

Pre-analysis enriches the graph with blast radius, taint propagation, and privilege boundary data used by data-flow diagrams.

If auto-detection is wrong for the target, rerun with an explicit language or comma-separated list such as python,rust.

Step 2: Match the user's request to a --type using the decision tree above.

Step 3: For call-graph and data-flow, identify the focus function. Default --depth 2. Use --direction LR for dependency flows.

Step 4: Run the script and capture stdout. If the native v0.4 CLI is available, either command is acceptable; prefer the bundled script when you need behavior consistent with this skill's references.

Step 5: Check: output starts with flowchart or classDiagram, contains at least one node. If empty or malformed, consult references/mermaid-syntax.md.

Step 6: Wrap output in ```mermaid ``` code fence.


Script Reference

uv run {baseDir}/scripts/diagram.py [OPTIONS]
# or, on Trailmark 0.4.0+:
uv run trailmark diagram [OPTIONS]
ArgumentShortDefaultDescription
--target-trequiredDirectory to analyze
--language-lpythonSource language
--type-TrequiredDiagram type (see above)
--focus-fnoneCenter diagram on this node
--depth-d2BFS traversal depth
--directionTBLayout: TB (top-bottom) or LR (left-right)
--threshold10Min complexity for complexity type

Examples

# Call graph centered on a function
uv run {baseDir}/scripts/diagram.py -t src/ -T call-graph -f parse_file

# Class hierarchy for a Rust project
uv run {baseDir}/scripts/diagram.py -t src/ -l rust -T class-hierarchy

# Module dependency map, left-to-right
uv run {baseDir}/scripts/diagram.py -t src/ -T module-deps --direction LR

# Class members
uv run {baseDir}/scripts/diagram.py -t src/ -T containment

# Complexity heatmap (threshold 5)
uv run {baseDir}/scripts/diagram.py -t src/ -T complexity --threshold 5

# Data flow from entrypoints to a specific function
uv run {baseDir}/scripts/diagram.py -t src/ -T data-flow -f execute_query

Customization

Direction: Use TB (default) for hierarchical views, LR for left-to-right flows like dependency chains.

Depth: Increase --depth to see more of the call graph. Decrease to reduce clutter. The script warns if the diagram exceeds 100 nodes.

Focus: Always use --focus for call-graph on non-trivial codebases. For data-flow, omitting focus auto-targets the top 10 complexity hotspots.

Language: Prefer --language auto for polyglot or unfamiliar repos. Use an explicit language only when you know the target is single-language or you need to exclude unrelated components.


Supporting Documentation

GitHub 仓库

trailofbits/skills
路径: plugins/trailmark/skills/diagramming-code
0
agent-skills
FAQ

常见问题

什么是 diagramming-code Skill?

diagramming-code 是一个 Claude Skill,作者为 trailofbits。Skill 将 Claude 按需加载的说明和资源打包,让 Claude 无需额外提示即可执行与 diagramming-code 相关的任务。

如何安装 diagramming-code?

使用本页的安装命令:将 diagramming-code 作为插件添加到 Claude Code,或将其仓库克隆到 skills 目录,然后重启 Claude 以加载该 Skill。

diagramming-code 属于哪个分类?

diagramming-code 属于元分类。

diagramming-code 可以免费使用吗?

可以。diagramming-code 已收录在 AIMCP,可免费安装。

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