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harbor-exec

Use when working with Harbor's `harbor exec` CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only verification; using map-reduce; writing or reviewing ExecConfig YAML/JSON/TOML; or debugging command behavior, config validation, and job outputs.

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Repository
Arize-ai/phoenix
Letzte Quellaktivität
22. September 2026 um 21:11
Erkannte Sprache von SKILL.md
Englisch
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12.052
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1.247

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
harbor-exec
description
Use when working with Harbor's `harbor exec` CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only verification; using map-reduce; writing or reviewing ExecConfig YAML/JSON/TOML; or debugging command behavior, config validation, and job outputs.
# Harbor Exec ## Overview Use this skill to operate Harbor's `harbor exec` command. Treat `harbor exec` as agentic map-reduce: it turns loose inputs into Harbor tasks, runs Harbor jobs over those tasks, and optionally aggregates the results. ## First Checks Assume the user is running an installed Harbor CLI. Check the installed command surface before making claims: ```bash harbor --version harbor exec --help ``` Require Harbor `>=0.17.1` for `harbor exec`. If `harbor --version` reports an older version, ask the user to upgrade before continuing. Use `--print-config` when debugging config resolution, inferred artifacts, task/job directories, or defaults. Do not treat it as a substitute for showing the final launch command. If the installed `harbor` command is not available, ask the user how they installed Harbor before guessing a command path. ## Run Parameter Questions Before running a Harbor Exec job, ask the user to confirm any unspecified run parameters: - Inputs: exact paths/globs and whether to `--scan` or `--no-scan`. - Artifact contract: output file paths the agent must write. - Artifact schemas: required JSON or structured schema for each artifact. - Environment provider: recommend cloud sandboxing over local `docker`; suggest `modal`, `daytona`, or `e2b`. - Agent and model for the map step. - Concurrency count. - Whether to include a reduce step, and if so which reduce agent and model to use. - Final command: show the exact launch command before running it. ## Usage Workflow Prefer flags for one-off runs and `--config` for repeatable or map-reduce workflows. Make artifacts explicit when correctness depends on generated files: ```bash harbor exec -p ./input -i "Write /app/answer.json" -f /app/answer.json ``` Prefer explicit artifacts over auto-inferred artifacts. Auto-inference only reads inline instructions, not instruction files. Do not persist compiled tasks by default. Omit `--tasks-dir` unless the user wants to inspect or reuse compiled tasks; when omitted, compiled tasks are ephemeral and cleaned up after execution. Leave the job output location unset by default. Use `--jobs-dir` only when the user wants a specific output path; default is `jobs`. Specify `--scan` or `--no-scan` when task cardinality matters. Current flags mode scans a single directory or glob by default, but multiple paths are grouped unless `--scan` is explicit. Do not combine `--config` with flags mode options. Build the full `ExecConfig` in the file instead. ## Map And Reduce Map phase: - `map.compile` defines task synthesis: instructions, copied paths, Docker image/workdir, artifacts, templates, and compile-time verifier generation. - `map.job` defines execution: agent, model, environment provider, retries, attempts, concurrency, metrics, and job directory. Reduce phase: - Requires `map.compile.artifacts`; the reducer consumes prior map trial artifacts staged under `environment/artifacts`. - Compiles exactly one reducer task. - Inherits map job settings unless reducer-specific flags/config override them in flags mode. - Should usually define reducer artifacts explicitly, then verify them. ## Examples Read `references/examples.md` when writing concrete commands, config files, or map-reduce examples.
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