deep-research
deep-research is a Research reports & synthesis skill for AI agents, published by marlandoj in the zouroboros repository on GitHub. Skillspace rates deep-research D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Mechanical deep-research pipeline. Chains peer-reviewed literature (Consensus MCP), open web (web_research), and the internal Qdrant corpus into a single provenance-tracked synthesis, emitted as a markdown report. Use when the user asks to "research X deeply", "do a deep dive on X", "what does the research/evidence say about X", or wants a sourced report fusing what we already know with what's published. Runs as a resumable, fail-loud, file-based DAG: plan -> gather (parallel) -> fuse -> synthesize -> claim-check -> report -> persist.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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