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Agent-Friendly CLI And Skill

Create a composable CLI and companion skill so future agent tasks can search, read, download, or draft against a recurring source safely.

难度:intermediate 分类:cli 来源:OpenAI Codex agent-friendly CLI use case

完整 Prompt(可直接复制)

/goal
GOAL:
Complete Agent-Friendly CLI And Skill for a command-line tool: Create a composable CLI and companion skill so future agent tasks can search, read, download, or draft against a recurring source safely.

CONTEXT:
- Before editing, read the nearest AGENTS.md/CLAUDE.md, current issue or PLAN.md, and any failing logs already in the repo.
- Inspect CLI entrypoints, argument parsing, filesystem behavior, dry-run mode, and fixtures.
- Establish a baseline by running or locating evidence for: `proposed command surface, command installed on PATH, help output, setup check, safe discovery command, exact read command, companion skill`.

CONSTRAINTS:
- Keep the scope limited to this goal; do not expand into unrelated cleanup.
- Do not weaken tests, delete assertions, or mask errors to make verification pass.
- Respect the repository's AGENTS.md/CLAUDE.md instructions and existing patterns.
- Do not perform destructive filesystem operations without a dry-run or explicit confirmation.
- Keep command output deterministic enough for tests.

DONE WHEN:
- The implementation or documentation directly satisfies: Create a composable CLI and companion skill so future agent tasks can search, read, download, or draft against a recurring source safely.
- The verification command or evidence path succeeds: `proposed command surface, command installed on PATH, help output, setup check, safe discovery command, exact read command, companion skill`.
- The final diff is scoped to the relevant files and has no unrelated formatting churn.

VERIFY:
- Run `proposed command surface, command installed on PATH, help output, setup check, safe discovery command, exact read command, companion skill` or the closest repo-local equivalent if the exact command is not available.
- Capture before/after evidence for the behavior, metric, report, or artifact involved.
- If verification cannot run locally, stop and report the missing dependency instead of guessing success.

OUTPUT:
- Summarize changed files, key decisions, verification output, and remaining risks.
- Include any follow-up that is required for production rollout or human review.

STOP RULES:
- Pause if secrets, production access, stakeholder decisions, or destructive data operations are required.
- Pause after three failed fix attempts on the same symptom and challenge the root-cause hypothesis.
- Do not mark the goal complete until the current repository state has been audited against DONE WHEN.

来源与证据

原始来源: OpenAI Codex agent-friendly CLI use case

证据摘要: Use $cli-creator to create a CLI you can use, and use $skill-creator to create the companion skill; source: OpenAI Codex agent-friendly CLI use case; type: official-agent-task; verification: proposed command surface, command installed on PATH, help output, setup check, safe discovery command, exact read command, companion skill