analyze

A codebase analysis workflow for exploring an existing software project, recording findings, creating tasks, and implementing fixes.

In plain words
What is it for?
Use it to study architecture and technologies, identify technical debt, document the system, and address selected issues.
Why use it?
It turns an unfamiliar codebase into documented findings and actionable improvement work.

Skill for Claude CodeCodex

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/ecorkran/context-forge/analyze
Any agent
npx skills add ecorkran/context-forge --skill analyze
Clone the repo
git clone --depth 1 https://github.com/ecorkran/context-forge

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,104 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 $0.00019 $0.02104
Opus 5 $0.00010 $0.01052
Sonnet 5 $0.00004 $0.00421
Haiku 4.5 $0.00002 $0.00210

Measured 2d ago against content hash ea74f12473a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analyze 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 2d 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.

.claude/skills/analyze/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codebase Analysis Workflow

This skill provides a complete analysis workflow for existing codebases. It is organized into stages that can be used independently or as a sequential pipeline.

Usage: Invoke /analyze and specify which stage to run, or start from Stage 1 for a full discovery workflow. Provide {project} and optionally {subproject} as context.


Stage 1: Analyze Codebase

Purpose: Perform discovery analysis of existing codebase to:

  • Document system architecture and technology stack
  • Identify technical debt and improvement opportunities
  • Provide foundation for creating architectural components, slices, or maintenance tasks
  • Create reference documentation for team members

This is reconnaissance work - not goal-oriented development.

Analyze the following existing codebase and document your findings. We want this to not only assist ourselves in updating and maintaining the codebase, but also to assist humans who may be working on the project.

Expected Output

  • Document your findings in user/analysis/nnn-analysis.{topic}.md where:
    • nnn starts at 940 (analysis range)
    • {topic} describes the analysis focus (e.g., "initial-codebase", "dependency-audit", "architecture-review")
  • Write in markdown format, following our rules for markdown output.

General Guidelines

  • Document the codebase structure. Also note presence of any project-documents or similar folders which probably contain information for us.
  • Document presence or average of tests, and an estimate of coverage if tests are present.
  • Identify technologies and frameworks in use.
  • What package managers are in use?
  • Is there a DevOps pipeline indicated?
  • Analysis should be concise and relevant - no pontificating.
  • Add note in README as follows: Claude: please find code analysis details in {file mentioned above}.

Front End (if applicable)

  • If this is a JS app, does it use React? Vue? Is it NextJS? Is it typescript, javascript, or both? Does it use TailWind? ShadCN? Something else?

Read the full file on GitHub · 199 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. 2d ago First seen · 199 lines · 19 tokens per session scan A ea74f12473a1

Subscribe to this mod's changes

analyze is a skill published in the GitHub repository ecorkran/context-forge (5 stars, last pushed 21d ago), licensed MIT. It adds 19 tokens to every session and 2,104 once invoked, about $0.0001 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 2026-08-31.

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