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Open-Source 'Deep Research' Skill for Claude Code Adds Eight-Phase, Citation-Verified Reporting

July 13, 2026 at 21:12 EDT

AI Agents
Open Source
Software Dev & Coding

A newly circulated open-source add-on for Anthropic's Claude Code promises to turn the command-line agent into an enterprise-grade research engine, running an eight-phase pipeline that scores source credibility, triangulates claims across multiple references, and automatically validates its own citations.

Open-Source Skill · Claude Code

A Self-Auditing Deep-Research Engine for Claude Code

A new open-source "skill" reshapes Anthropic's command-line agent into an eight-phase research pipeline that scores source credibility, triangulates claims, and validates its own citations — screening for hallucinated references before packaging a final report.

phases in the full pipeline, from scoping to packaging

sources required per major claim

844

stars · 92 forks accumulated

Four modes scaled to task complexity

Column height reflects the maximum time budget in minutes.

Quick

3 phases
2–5 min

Standard

6 phases
5–10 min

Deep

8 phases
10–20 min

UltraDeep

8+ phases
20–45 min

The critique loop-back

Parallel retrieval → Triangulation → Synthesis → Critique & red-team

The critique step — including a "Skeptical Practitioner" persona — can loop back to earlier stages. Two scripts enforce standards: validate_report.py runs 9 checks, while verify_citations.py inspects DOIs and URLs and screens for hallucinated references, looping up to 3 times.

The draw

A transparent, self-auditing design — verifiable citations and automated validation — plus a runtime date fetch to avoid stale training assumptions. Installation is a single git clone with essentially no dependencies.

The caveat

Claims that it beats OpenAI, Gemini, and Claude Desktop come from the project itself. Independent evaluation is thin — public info offers little in benchmark numbers or documented failure cases.

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