extracting-code-structure

extracting-code-structure is a skill for Claude Code, Codex from xberg-io/tree-sitter-language-pack. It costs 58 tokens per session (1,223 once invoked), scanned A, original, MIT.

Instructions for extracting structured information from source files instead of returning only a raw syntax tree. The information can include functions, classes, imports, exports, symbols, comments, documentation, and syntax diagnostics.

In plain words
What is it for?
It is for listing a file's functions, finding imports and exported symbols, collecting documentation and comments, reporting syntax problems, and producing structured code metadata.
Why use it?
It removes the need to inspect files manually or build separate extraction logic for common code elements. You can select the kinds of information you want returned.

Skill for Claude CodeCodex

Part of the tree-sitter-language-pack plugin — 7 skills, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add skills/xberg-io/tree-sitter-language-pack/extracting-code-structure
Any agent
npx skills add xberg-io/tree-sitter-language-pack --skill extracting-code-structure
Clone the repo
git clone --depth 1 https://github.com/xberg-io/tree-sitter-language-pack

Made for: Claude Code, Codex.

Or install tree-sitter-language-pack, the plugin that ships this one along with the rest of its 7 skills, 1 MCP server.

Wrote 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.

agentmods badge for extracting-code-structure

README.md
[![agentmods](https://agentmods.dev/badge/skills/xberg-io/tree-sitter-language-pack/extracting-code-structure.svg)](https://agentmods.dev/skills/xberg-io/tree-sitter-language-pack/extracting-code-structure)
Your own site
<a href="https://agentmods.dev/skills/xberg-io/tree-sitter-language-pack/extracting-code-structure"><img src="https://agentmods.dev/badge/skills/xberg-io/tree-sitter-language-pack/extracting-code-structure.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,223 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00058 $0.01223
Opus 5 $0.00029 $0.00611
Sonnet 5 $0.00012 $0.00245
Haiku 4.5 $0.00006 $0.00122

Measured 5d ago against content hash c2948338cd56, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

extracting-code-structure 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 5d 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.

plugin/.ai-rulez/skills/extracting-code-structure/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Extracting code structure

ts-pack process <file> runs the code-intelligence pipeline over a source file and prints JSON. Use it when the user wants structured metadata — "list the functions", "what does this file import", "find the exported symbols", "pull the docstrings" — rather than a raw syntax tree.

Quick recipe

# Default features: structure + imports + exports
ts-pack process src/app.ts

# Pick features explicitly (only what you ask for is computed)
ts-pack process src/app.ts --structure --imports --symbols --docstrings

# Everything
ts-pack process src/app.ts --all

When no feature flags are given, process defaults to --structure --imports --exports. Passing any single extraction flag (--structure --imports --exports --comments --docstrings --symbols --diagnostics) turns off that default set, so list every feature you want. --chunk-size and --language are modifiers, not extraction flags: they do not disable the defaults (e.g. --chunk-size 500 alone still emits structure+imports+exports and adds chunks).

Feature flags

Flag Extracts
--structure Functions, classes, methods, modules (spans, nesting, visibility).
--imports Import statements and their sources.
--exports Exported symbols and their kinds.
--comments Inline and block comments.
--docstrings Docstrings attached to definitions.
--symbols All identifiers (for search/indexing).
--diagnostics Syntax errors and error nodes with positions.
--all Enable every feature above.
--chunk-size <bytes> Syntax-aware chunks — see chunking-for-llms.
--language <name> (-l) Override language (auto-detected from extension otherwise).

Result shape

process always prints JSON. Top-level keys:

{
  "language": "python",
  "metrics": { "total_lines": 0, "code_lines": 0, "comment_lines": 0, "blank_lines": 0, "total_bytes": 0, "node_count": 0, "error_count": 0, "max_depth": 0 },
  "structure": [],
  "imports": [],
  "exports": [],
  "comments": [],
  "docstrings": [],
  "symbols": [],
  "diagnostics": [],
  "chunks": []
}

Read the full file on GitHub · 132 lines

Changes

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.

  1. 5d ago First seen · 132 lines · 58 tokens per session scan A c2948338cd56

Subscribe to this mod's changes

extracting-code-structure is a skill published in the GitHub repository xberg-io/tree-sitter-language-pack (463 stars, last pushed 3d ago), licensed MIT. It adds 58 tokens to every session and 1,223 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens