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ulw-research

Maximum-saturation research orchestration: ALWAYS proposes the final materials first (PDF+DOCX default), then parallel explore+librarian swarms across codebase, web, official docs, and OSS repos — max-roster teammode when the harness has it — with live journaling, a recursive EXPAND loop driven by leads workers return in message text, empirical verification by running code, and a cited synthesis with charts/Mermaid/assets behind a mandatory visual-QA gate. ACTIVATES ONLY on an explicit user demand for research — the word 'ulw-research' ('/ulw-research', '$ulw-research'), any 'ulw' research wording, 'ultradebate' or 'hyperdebate' research requests, or an explicit request for research / deep research / an ultra-precise investigation, in any language. Never self-activates for ordinary questions, debugging, or implementation context-gathering. While active it overrides exploration-bounding defaults: exhaustive coverage is the goal.

66

Quality

79%

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/omo/skills/ulw-research/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The required runtime workflow (“Phase 1 — Saturation wave” and “Phase 2 — Expand”) explicitly instructs workers to fetch and ingest outsider-authored web pages and also to perform GitHub searching that can require reading issue/PR text, i.e., the agent ingests free text authored by third parties without any filtering step to select a specific trusted item first.

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Repository
code-yeongyu/lazycodex
Audited
Security analysis
Snyk

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