research-prompting
research-prompting is a Prompt design & optimisation skill for AI agents, published by usecompai in the compound-operations-model repository on GitHub. Skillspace rates research-prompting D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Write research prompts that come back decision-ready — zero-prior-knowledge framing, evidence hierarchy, fact/inference separation, and a mandatory gap round. Use when formulating a research prompt, deep research request, competitive research, market research, due diligence question, or when delegating research to exa_search, an agent, Codex, or an external researcher. Not for running the research itself end-to-end (deep-research, autoresearch, gemini-deep-research, exa_search EXECUTE research — this skill writes the brief that feeds them), not for the reference deployment strategic deliberation (use council/punta-de-flecha), and not for Brain lookups (brain_search first, always).
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 95 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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