codebase-analysis
Analyze Unfamiliar Codebases Systematically
Unfamiliar codebases hide entry points, dependencies, architecture, and technical debt. This skill provides a structured workflow for tracing and documenting those elements.
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Review the Skillstore skill "codebase-analysis" from https://skillstore.io/skills/consiliency-codebase-analysis.md and its manifest at https://skillstore.io/api/skills/consiliency-codebase-analysis/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.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 "codebase-analysis". Give me a quick assessment of this TypeScript service.
Expected outcome:
- Overview: The project is a TypeScript HTTP service with one application bootstrap and separate route modules.
- Entry points: The package manifest identifies the main runtime file, while the server module starts request handling.
- Next step: Trace imports from the server module before classifying the architecture.
Using "codebase-analysis". Trace dependencies from the authentication service.
Expected outcome:
- Direct dependencies: database access, password hashing, token creation, and user lookup modules.
- Inbound dependencies: login routes and authentication middleware call the service.
- Risk: A circular reference between user lookup and authentication needs source verification.
Using "codebase-analysis". Identify and prioritize technical debt before a refactor.
Expected outcome:
- High: A large service owns unrelated account, billing, and notification behavior.
- Medium: Critical API paths have limited tests and several outdated dependencies.
- Recommended order: Add behavior tests, split responsibilities, then update dependencies.
Security Audit
High RiskMost static findings are false positives caused by Markdown code formatting, repository-local discovery commands, and /dev/null redirection. Two intent-level risks remain: a repository-defined npm script and unpinned npx packages can execute untrusted code. No prompt injection, credential access, exfiltration, or suspicious network destination was found.
Confirmed security concerns (2)
Risk Factors
⚙️ External commands (37)
📁 Filesystem access (24)
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APA citation
Consiliency. (2026). codebase-analysis security audit report (audit version 10) [Author version unspecified]. Skillstore. https://skillstore.io/skills/consiliency-codebase-analysis/audits/10BibTeX citation
@techreport{consiliency-consiliency-codebase-analysis-2026,
author = {Consiliency},
title = {codebase-analysis security audit report (audit version 10)},
institution = {Skillstore},
year = {2026},
number = {10},
url = {https://skillstore.io/skills/consiliency-codebase-analysis/audits/10},
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: "codebase-analysis security audit report (audit version 10)"
version: "unspecified"
type: report
authors:
- name: "Consiliency"
date-released: "2026-07-13"
url: "https://skillstore.io/skills/consiliency-codebase-analysis/audits/10"
identifiers:
- type: other
value: "skillstore:consiliency-codebase-analysis:audit:10"
description: "Skillstore immutable audit report identifier"
Compare variants
3 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
atman36-codebase-analysis
2026-08-21
doubleslashse-codebase-analysis
2026-08-21
consiliency-codebase-analysis
2026-08-21
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Orient a New Contributor
Map entry points, framework conventions, and important dependency paths before assigning the first change.
Prepare a Refactoring Plan
Trace component boundaries and circular dependencies before changing a fragile subsystem.
Prioritize Technical Debt
Build an evidence-based inventory of quality, testing, dependency, documentation, and architecture issues.
Try These Prompts
Analyze this repository at quick depth. Identify its language, framework, configuration files, and main entry points. Cite evidence for every conclusion.
Start from [entry point] and trace direct and transitive dependencies. Highlight external packages, circular references, and uncertain links. Do not modify files.
Perform a standard architecture review of [repository]. Detect primary and secondary patterns from structure and imports. Explain conflicting evidence and produce a dependency diagram.
Perform a deep analysis of [component]. Map entry points, call paths, ownership boundaries, and debt. Rank refactoring risks and propose verification steps.
Best Practices
- Begin with confirmed entry points and trace dependencies outward.
- Confirm architecture patterns using both directory structure and import direction.
- Request approval before commands that run project scripts or download tools.
Avoid
- Do not infer architecture from directory names alone.
- Do not run package scripts or npx tools in untrusted repositories without approval.
- Do not report debt without evidence, locations, severity, and impact.
Frequently Asked Questions
Which languages and frameworks are supported?
Does the skill modify source files?
Can it generate architecture diagrams?
How reliable are the architecture conclusions?
Which local tools may be needed?
Is it suitable for untrusted repositories?
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/codebase-analysisRef
635f69fb8d2f4e6330ba47a4e5a0fb239c04d110
Maintenance freshness
7/18/2026
Usage
11 downloads · 231 views
File structure