treesitter-patterns
Build Reliable Tree-sitter Parsers
Tree-sitter integrations often fail on malformed code, language differences, and inefficient traversal. This skill provides reusable parsing, query, visitor, error-handling, and optimization patterns.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "treesitter-patterns" from https://skillstore.io/skills/consiliency-treesitter-patterns.md and its manifest at https://skillstore.io/api/skills/consiliency-treesitter-patterns/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "treesitter-patterns". Extract Python functions and decorators from a module.
Expected outcome:
A query plan listing function, parameter, body, and decorator captures, plus grammar checks and malformed-code tests.
Using "treesitter-patterns". Review my recursive AST traversal for scalability.
Expected outcome:
A visitor-based design with named-node filtering, early exits, error collection, and benchmarks for large files.
Using "treesitter-patterns". Plan a multi-language repository analyzer.
Expected outcome:
A parser registry, version policy, language-specific queries, incremental update flow, normalized results, and failure-isolation strategy.
Security Audit
SafeAll 24 static findings are false positives caused by Markdown backticks, fenced examples, or inline identifiers. SKILL.md contains no external command execution or intent-level security issue.
Risk Factors
⚙️ External commands (24)
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<iframe src="https://skillstore.io/embed/skills/consiliency-treesitter-patterns.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
Consiliency. (2026). treesitter-patterns security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/consiliency-treesitter-patterns/audits/9BibTeX citation
@techreport{consiliency-consiliency-treesitter-patterns-2026,
author = {Consiliency},
title = {treesitter-patterns security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/consiliency-treesitter-patterns/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "treesitter-patterns security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "Consiliency"
date-released: "2026-07-13"
url: "https://skillstore.io/skills/consiliency-treesitter-patterns/audits/9"
identifiers:
- type: other
value: "skillstore:consiliency-treesitter-patterns:audit:9"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Prototype a Parser
Set up a Python parser, inspect nodes, and extract functions from source files.
Design Structural Queries
Create and refine Tree-sitter queries for functions, classes, imports, and decorators.
Harden Parsing Pipelines
Add error collection, visitor abstractions, incremental parsing, and performance controls to production tooling.
Try These Prompts
Create a Tree-sitter Python parser for [language]. Show how to parse [sample], inspect the root, and report syntax errors.
Design a Tree-sitter query for [language] that captures [constructs]. Explain each capture and list grammar node types I must verify.
Refactor my traversal into an AST visitor that extracts [data]. Preserve error handling, named-child traversal, and language-specific extension points.
Design a production parsing pipeline for [languages] and [workload]. Include incremental parsing, query caching, version pinning, parallelism, failure handling, and tests.
Best Practices
- Verify node names against each language grammar before finalizing queries.
- Test valid, incomplete, and malformed source samples for every supported language.
- Pin parser versions and benchmark large files before production rollout.
Avoid
- Do not assume one grammar uses the same node types as another.
- Do not ignore ERROR or missing nodes when extracting structure.
- Do not traverse entire trees when targeted queries or early exits are sufficient.
Frequently Asked Questions
Does this skill install Tree-sitter parsers?
Which languages does it support?
Can it create Tree-sitter queries?
How does it handle malformed code?
Are the referenced cookbook files included?
Can I use it with Claude, Codex, and Claude Code?
Developer Details
Author
ConsiliencyLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/Consiliency/treesitter-chunker/tree/main/.ai-dev-kit/skills/treesitter-patternsRef
635f69fb8d2f4e6330ba47a4e5a0fb239c04d110
Maintenance freshness
7/18/2026
Usage
5 downloads · 271 views
File structure
📄 SKILL.md