deep-research-when
deep-research-when is a Workflow routing & gates skill for AI agents, published by weikinhuang in the dotfiles repository on GitHub. Skillspace rates deep-research-when F (39/100) and it passed the safety scan; the rating is based on static analysis only.
WHAT: Decide when the heavy `research` deep-research pipeline (plan -> fanout -> synth -> two-stage review, writing a cited report under ./research/) is worth its time and token cost, versus a cheaper single fetch or subagent. WHEN: The user wants a thorough, multi-source, fact-checked written report on an open question. DO-NOT: Fire it for a single lookup, a question one `ai-fetch-web` call answers, or anything you can settle by reading the repo.
- Grade
- F
- Quality
- 39 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 66 / 100
- Maturity
- Incomplete: missing or partial frontmatter
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.