analyzing-projects
Analyze Any Codebase Fast
Understanding an unfamiliar codebase takes hours of manual exploration across scattered files and configs. This skill gives Claude a structured six-step workflow to map a project's tech stack, structure, patterns, and development commands into a clear summary report.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "analyzing-projects" from https://skillstore.io/skills/cloudai-x-analyzing-projects.md and its manifest at https://skillstore.io/api/skills/cloudai-x-analyzing-projects/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 "analyzing-projects". Analyze this project and tell me what tech stack it uses.
Expected outcome:
The project is a TypeScript application built on Next.js 14 with a PostgreSQL database. It uses npm for dependency management and includes GitHub Actions for continuous integration. Testing is handled with Jest.
Using "analyzing-projects". Give me an onboarding summary with key directories and commands.
Expected outcome:
Key directories: src holds the source code, tests holds the test suite, and config holds environment settings. Entry point is the main source index file. Common commands are install to set up dependencies, dev to run locally, test to run the suite, and build to produce a release.
Security Audit
SafeThis skill is a purely instructional Markdown workflow that guides an agent through analyzing a codebase (README review, tech stack detection, structure mapping, workflow discovery). All 34 static findings are false positives: 33 'Ruby/shell backtick execution' hits matched Markdown code fences and inline code spans in documentation, not executable code, and the single filesystem finding is a harmless read-only 'cat README.md | head -50' overview command. No network access, no credential handling, no data exfiltration, and no prompt-injection content were found.
Risk Factors
⚙️ External commands (33)
📁 Filesystem access (1)
Share & cite this report
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
Copy report link
https://skillstore.io/skills/cloudai-x-analyzing-projects/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
[](https://skillstore.io/skills/cloudai-x-analyzing-projects?utm_source=security_passport_badge)HTML badge
<a href="https://skillstore.io/skills/cloudai-x-analyzing-projects?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/cloudai-x-analyzing-projects/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/cloudai-x-analyzing-projects.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
CloudAI-X. (2026). analyzing-projects security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/cloudai-x-analyzing-projects/audits/9BibTeX citation
@techreport{cloudai-x-cloudai-x-analyzing-projects-2026,
author = {CloudAI-X},
title = {analyzing-projects security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/cloudai-x-analyzing-projects/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: "analyzing-projects security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "CloudAI-X"
date-released: "2026-07-18"
url: "https://skillstore.io/skills/cloudai-x-analyzing-projects/audits/9"
identifiers:
- type: other
value: "skillstore:cloudai-x-analyzing-projects:audit:9"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Onboarding to a new repository
A developer joining a team runs the workflow to quickly understand an unfamiliar codebase before making changes.
Reviewing an open-source project
A contributor uses the analysis to grasp architecture and conventions before opening a pull request.
Producing internal documentation
A tech lead generates a structured summary of a service to document its stack, entry points, and commands.
Try These Prompts
Analyze this project and tell me what tech stack it uses and how it is structured.
I just joined this project. Walk through the codebase and give me an onboarding summary with the tech stack, key directories, and development commands.
Analyze the architecture of this codebase. Identify the API style, state management, database approach, and testing setup, and note any conventions you find.
Run the complete project analysis workflow and produce the summary report. For anything you cannot confirm from the files, mark it as needs clarification instead of guessing.
Best Practices
- Follow the six steps in order so each finding builds on the previous one
- Base every conclusion on observed files and mark anything unverified as needs clarification
- Present the final result using the structured report template for consistent, scannable output
Avoid
- Assuming a framework or database without confirming it from dependency or config files
- Skipping the validation step and presenting guesses as verified facts
- Analyzing only the root directory and ignoring nested source and test folders