claude-code-research

by cablateVerified

Independent research on Claude Code internals, Claude Agent SDK, and related tooling.

153
Stars
64
Forks
HTML
Language
8/23/2026
Added
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/cablate/claude-code-research

Getting Started

Guides for using skills like claude-code-research.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Claude Code Research

Contributions Welcome

Independent research on Claude Code internals.

What's in this repo

DirectoryWhatSourceCount
source-code-analysis/Full architecture reverse-engineeringLeaked TypeScript source (v2.1.88)75 reports
reports/Problem-oriented investigations (cache, cost, injection)Minified npm bundle (cli.js)8 reports

Looking for the source code analysis? Go to source-code-analysis/. Looking for specific bug/cost investigations? Go to reports/.


Source Code Analysis (source-code-analysis/)

On 2026-03-31, the full source code of Claude Code was exposed via a sourcemap file in the npm registry (discovered by Chaofan Shou, archived by Kuberwastaken and sanbuphy).

We performed a 10-domain, 75-report analysis — the most thorough publicly available breakdown of how a production AI coding agent works.

Browse all reports →

Interactive viewer — open source-code-analysis/index.html in your browser (all 75 reports are embedded, no server needed).

Key Findings

DomainReportsHighlights
Harness Engineering7Agent Loop reverse-engineering, 12 transferable harness design principles
System Prompt6Complete 13-section prompt with dynamic assembly logic, 17 prompt engineering patterns
Cost & Quota8Cost envelope, prompt cache break detection (12 causes), Haiku→Opus 37.5x cost gap
Tool Definitions8All 36 tool prompts, read/write concurrency separation, ant vs public prompt variants
Agent Architecture76 built-in agents, Coordinator mode, Swarm multi-agent, 50-message cap (from 36.8GB incident)
Security87-layer defense-in-depth, 23 Bash validators, Parser Differential threat model
Skills System516 bundled skills, 12 design patterns + 5 anti-patterns
Memory & Context96 memory subsystems, AutoDream consolidation, Team Memory dual-layer security
API & Models717 beta headers, 4 providers, model selection 5-layer priority
Hidden Features1082 feature flags, KAIROS proactive mode, Buddy AI pet, UltraPlan, anti-distillation

Behavioral Reports (reports/)

Problem-oriented investigations based on reverse engineering the minified cli.js from npm. Each includes English and Chinese versions.

#TopicTL;DR
1Agent SDK Cache InvalidationSDK query() costs 3–10x more than CLI — process-per-call kills prompt cache
2System-Reminder Injection15+ hidden injection types, 4 root-cause bugs
3Prompt Cache ArchitectureStatic/dynamic zone split, sliding window, byte-prefix matching
4Tool Serialization & Cache StabilityZero .sort() on tools, deferred loading busts cache mid-conversation
5Context Lifecycle Management5 threshold constants, 10-step compaction flow, chain reactions
6Production Cache Optimization3 concrete cli.js patches + monitoring strategies
7Cache Invalidation Verificationdefer_loading excludes deferred tools from cache prefix entirely
8Auto Mode Classifier CostHidden Opus-level call before every side-effecting tool use

Resources

Source Code Archives

The analysis is based on the full TypeScript source of Claude Code v2.1.88. The source code itself is not included in this repo.

Version Baseline

ScopeVersion
Source Code Analysisv2.1.88 (sourcemap leak, 2026-03-31)
Behavioral Reports #1–2v2.1.71
Behavioral Reports #3–6Agent SDK v0.2.76 (build 2026-03-14)
Behavioral Reports #7–8v2.1.85 / v2.1.88

How to Cite

CabLate, "Claude Code Research," GitHub, 2026.
https://github.com/cablate/claude-code-research

Disclaimer

This is independent research, not affiliated with or endorsed by Anthropic. Behavioral reports analyze publicly distributed npm packages. Source code analysis is based on code exposed through npm registry sourcemaps.

Frequently Asked Questions

What is claude-code-research?

claude-code-research is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by cablate. Independent research on Claude Code internals, Claude Agent SDK, and related tooling. It has 153 GitHub stars.

Is claude-code-research safe to use?

Yes. claude-code-research passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install claude-code-research?

Clone the repository with "git clone https://github.com/cablate/claude-code-research" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is claude-code-research written in?

claude-code-research is primarily written in HTML. It is open-source under cablate on GitHub, so you can review or fork the full source.

Are there alternatives to claude-code-research?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claude-code-research against similar tools.

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