research-v3
research-v3 is a Cloud platforms skill for AI agents, published by aws-samples in the sample-agentic-value-accelerator repository on GitHub. Skillspace rates research-v3 D (66/100) and it passed the safety scan; the rating is based on static analysis only.
AWS service capability discovery producing research.json with structured capabilities, API surface, and existing mitigations. Uses MCP servers for AWS documentation, service authorization, and best practices. Downstream skills (Validate, Map) consume this output. Split into 3 focused sub-skills for better accuracy; this skill orchestrates and merges.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 35
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.