start-research
start-research is an Academic writing & papers skill for AI agents, published by youngeun1209 in the oh-my-claudecode-research repository on GitHub. Skillspace rates start-research D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Interview-driven first-research-project initialization — asks about working title, field, hypothesis, target venue, datasets, narrative spine; fills the CLAUDE.md placeholders that /omcr-setup scaffolded; applies an optional domain preset to agent memory (when the existing MEMORY.md is still canonical-template); seeds @reviewer's persistent memory with target-venue aims/scope/editorial-priorities (registry-first, WebFetch fallback); scaffolds the LaTeX manuscript directory via the manuscript-scaffold skill. Requires /omcr-setup to have run first — will offer to run it if not. Safe to re-run; never overwrites filled-in answers, modified MEMORY.md, or existing manuscript content.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked 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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