opendfm/xcientist/bounded-tool-use

Claude Code and agent skill by opendfm/xcientist

Trust tier 3
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Checking that the SKILL.md file is still in the repository.

Context-efficient file and terminal usage for experiment agents

Install

npx vskill@latest install opendfm/xcientist/bounded-tool-use

SKILL.md

Bounded Tool Use

Mission

Keep tool observations small and high-signal so planning and reporting decisions do not waste context on whole-file or whole-log dumps.

File Protocol

  • Prefer read_json for machine-readable artifacts such as reviewer reports, planner reports, and status files.
  • Prefer search before view when you only need a finding, metric, path, or key phrase.
  • Use view only with a narrow purpose. If you do not know the exact lines yet, search first, then read the smallest useful window.
  • Treat directory inspection as bounded discovery only. Do not repeatedly rescan whole trees once key artifacts are known.
  • Never request a whole file when a field, match, or line window is sufficient.

Terminal Protocol

  • Prefer targeted commands such as rg, head, tail, jq, focused test commands, and explicit file paths.
  • Avoid broad cat, recursive dumps, or commands that print entire logs when a filtered command would do.
  • When a command produces long output, rely on the saved raw output path and follow up with targeted file inspection instead of rerunning a broad command.

Decision Rules

  • Use think before multi-step edits, after reviewer failures, and after surprising tool output when you need to compare hypotheses or repair strategies.
  • Use think to summarize the current state before you choose the next command, task delegation, or retry.
  • For master and reporting work: machine-readable status files come first, raw evidence second.
  • For planning work: validated handoff artifacts and reviewer JSON define the canonical execution surface.
  • For execution work: keep raw outputs on disk, and put only the smallest necessary evidence excerpt into reports.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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