aqe-research

v2026.09.24

Conduct evidence-first technical research for Agentic QE, Ruflo, related ruvnet projects, or external tools. Use when Codex must investigate a repository, compare current upstream changes, trace dependencies and history, distinguish verified facts from inference, or synthesize findings into actionable engineering recommendations. Do not use for a simple known-answer lookup or an implementation-only task.

GitHub
Install command
npx skhub add proffesor-for-testing/aqe-research
Markdown
SKILL.md

Research AQE Systems

  1. Read AGENTS.md, the question, and any user-supplied artifacts completely.
  2. Define the decision the research must support, its scope, and freshness needs.
  3. Search local evidence broad-to-narrow with rg --files, rg, code navigation, tests, configuration, documentation, and git history.
  4. For current external claims, inspect primary sources: upstream repositories, releases, commits, issues, pull requests, and official documentation. Record dates, versions, commit identifiers, and links.
  5. Trace definitions to usages and public boundaries. Map dependencies, data flow, CLI/MCP parity, configuration generation, and tests when relevant.
  6. Classify each material statement using references/evidence-rules.md. Never repeat a benchmark, capability, or roadmap claim as fact without direct evidence.
  7. Synthesize only after gathering evidence. State contradictions, uncertainty, missing access, and stale documentation explicitly.
  8. Return:
    • the decision-oriented summary;
    • verified findings with source locations;
    • inferences and their supporting evidence;
    • gaps and risks;
    • prioritized recommendations and the smallest useful next validation.

Use parallel agents only when the user requests delegation or repository instructions explicitly permit it. Treat Claude agent definitions as domain references; do not copy or execute their Claude-only hooks or tool syntax.

Discovery
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Version
Latest version metadata

Version

v2026.09.24

Published

Sep 24, 2026

Category

Uncategorized

License

MIT

Source path

.agents/skills/aqe-research

Default branch

main

Latest commit

ffc0c6a

Tree SHA

ffab1a1