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proffesor-for-testingproffesor-for-testing/agentic-qe/.agents/skills/aqe-research/SKILL.md

aqe-research

Skill515 starsChanged 22 days agoMITView on GitHub

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.

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read AGENTS.md, the question, and any user-supplied artifacts completely.

    line 8
  2. Very specific:

    Search local evidence broad-to-narrow with rg --files, rg, code navigation, tests, configuration, documentation, and git history.

    line 10
  3. Distinctive:

    Use parallel agents only when the user requests delegation or repository instructions explicitly permit it.

    line 29

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
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.

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