domino-jobs

Create, run, and manage Domino Jobs - batch executions for scripts, training, and data processing. Covers job configuration, hardware tiers, scheduled jobs (cron), monitoring status, viewing logs, and API-driven execution. Use when running batch workloads, scheduling recurring tasks, or automating training pipelines.

Quality

75%

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Securityby

Passed

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tessl review fix ./skills/jobs/SKILL.md

Quality

Content

57%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is actionable and covers the main execution paths well, but it carries unnecessary re-explanation of basics and lacks validation checkpoints for batch operations and progressive disclosure into separate reference files.

Suggestions

Trim the 'Job Commands' section that restates trivial invocations (python/Rscript/bash) Claude already knows, and tighten 'What is a Domino Job?' to only the Domino-specific distinctions.

Add explicit validation checkpoints in batch workflows — e.g., 'after starting, poll /api/jobs/v1/jobs/{id} until status is Running or Failed before proceeding'.

Move the cron reference table, run-mode patterns, and environment-variable reference into separate one-level-deep files (e.g., SCHEDULE.md, ENV.md) referenced from SKILL.md.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with code blocks, but the 'Job Commands' section restates trivial invocations (python train.py, Rscript, bash) that Claude already knows, and 'What is a Domino Job?' re-states obvious distinctions, adding padding that could be trimmed.	3 / 5
Actionability	It provides concrete, mostly copy-paste-ready code and commands across UI, Python, CLI, and REST paths, with only minor gaps (e.g., environment/hardware tier IDs are placeholders).	4 / 5
Workflow Clarity	Multi-step UI and CLI flows are sequenced, but this is a batch-operation skill with no validation or verification checkpoints (no 'confirm job started', 'verify status before stopping'); per the batch-operation cap, workflow clarity cannot exceed 3.	3 / 5
Progressive Disclosure	Sections are organized and external docs are linked, but no bundle files exist and substantial reference material (cron tables, run-mode patterns, environment variables) is inlined in SKILL.md rather than split into one-level-deep reference files.	3 / 5
	Total	13 / 20 Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description that clearly states capabilities and provides explicit usage triggers tied to a distinct Domino Jobs niche. Minor room for improvement only in broadening natural-language synonyms.

Dimension	Reasoning	Score
Specificity	The description enumerates multiple concrete actions — 'Create, run, and manage', 'job configuration, hardware tiers, scheduled jobs (cron), monitoring status, viewing logs, and API-driven execution' — providing comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	It explicitly answers both 'what' (the capability list) and 'when' via an explicit 'Use when...' clause with concrete trigger phrases.	5 / 5
Trigger Term Quality	It includes natural trigger phrases like 'running batch workloads, scheduling recurring tasks, or automating training pipelines', but lacks common synonyms or file/keyword variations a user might naturally say.	4 / 5
Distinctiveness Conflict Risk	'Domino Jobs' is a clearly named niche with distinct, domain-specific triggers, making it unlikely to fire for the wrong skill.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: dominodatalab/domino-claude-plugin
Path: skills/jobs/SKILL.md
Commit: d86698d

Reviewed: 14 hours ago

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