Skill steward preflight
Skill CongBao/skill-steward/packages/integrations/assets/skill-steward-preflight
Cross-Harness operations for Agent Skills: task preflight, missing-Skill discovery, local evidence, and reversible governance.
npx -y skills add CongBao/skill-steward --skill skill-steward-preflightAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use when a task may benefit from installed or not-yet-installed Agent Skills and Skill Steward is available in the current Harness.
SKILL.md
1.4 KB, 254 tokens by cl100k_base, as published. Nobody here has run it
Skill Steward Preflight
Run skill-steward preflight --stdin --compact-json with a self-contained description of the user's current task on standard input. Preserve the user's wording for a complete request. If the latest message is continuation shorthand such as “continue” or “go on,” describe the active task and latest direction without inventing requirements. Do not forward the conversation transcript. When the current Harness is known, pass its ID with --harness (codex, claude, or github-copilot).
- Use the recommendations in the
usearray for the current task. - Present recommendations in the
installarray as approval-required options; never install them automatically. - Treat capability gaps as search hints, not proof that a capability is unavailable.
- Before installing a recommendation, run
skill-steward install --catalog-candidate <id> ...without--confirmand show the plan. - Add
--confirmonly after the user approves that exact plan.
Do not refresh catalogs unless the user approves the network action. Do not describe publisher classification as a safety guarantee. If Skill Steward fails, continue with the Harness normally and report the failure briefly.
What ships with it: 1 file
227 B alongside SKILL.md
agents/
- openai.yaml227 B