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factor241factor241/ketos-bot/.agents/skills/query/SKILL.md

query

Skill1 starsChanged 2 months agoMITView on GitHub

Answer questions from the active raytsystem generation using local FTS5 retrieval, canonical record rehydration, verified source spans, and explicit gaps. Use for QUERY, knowledge lookup, comparison, relationship, temporal, or corpus questions; never answer factual gaps from model memory.

38 other projects use a version of this, 1 of them edited.

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Used with

Projects with it also use attach-db, install-duckdb and 4 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 31 edited versions we read keep these.

  • 2

    Distinctive

    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:

    Run the RaytSystem query workflow for the Ketos workspace.

    line 7
  2. Very specific:

    Use the absolute root /Volumes/Projects/ketos_canvas_mod_main.

    line 14
  3. Distinctive:

    Keep QUERY canonical-read-only and do not infer missing facts from memory.

    line 15

“Common” is measured: kept by at least 6 in 10 of the 31 edited versions of this file we could read. “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

Run the RaytSystem query workflow for the Ketos workspace. Read the canonical query procedure and follow its evidence, generation-binding, recovery, and gap rules exactly.

Apply these mandatory project overrides to every CLI step:

  • Invoke the globally installed CLI directly, never through uv.
  • Use the absolute root /Volumes/Projects/ketos_canvas_mod_main.
  • Keep QUERY canonical-read-only and do not infer missing facts from memory.

Start with:

  1. raytsystem agent preflight --skill raytsystem-query --no-write --root /Volumes/Projects/ketos_canvas_mod_main --json
  2. raytsystem status --root /Volumes/Projects/ketos_canvas_mod_main --json
  3. raytsystem query "QUESTION" --limit 10 --root /Volumes/Projects/ketos_canvas_mod_main --json

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