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qzcli

Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool. Use when user says "qzcli", "启智平台", "submit job", "stop job", "查计算组", "avail", "list jobs", "batch submit", or needs to manage distributed training jobs on a Qizhi instance.

84

Quality

82%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Risky

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Discovery

100%

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

This is an excellent skill description that clearly identifies the tool (qzcli), the platform (Qizhi/启智), and the specific actions it supports. It includes a comprehensive 'Use when' clause with both English and Chinese trigger terms, making it highly discoverable. The description is concise, specific, and distinctive with minimal risk of conflicting with other skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions: manage GPU compute jobs, submit job, stop job, batch submit, list jobs, check compute groups, and manage distributed training jobs. Also names the specific tool (qzcli) and platform (Qizhi/启智).

3 / 3

Completeness

Clearly answers both 'what' (manage GPU compute jobs on the Qizhi platform using qzcli) and 'when' (explicit 'Use when' clause with a comprehensive list of trigger terms and scenarios).

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms including both English and Chinese variants: 'qzcli', '启智平台', 'submit job', 'stop job', '查计算组', 'avail', 'list jobs', 'batch submit', and 'distributed training jobs'. These are terms users would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive — targets a specific platform (Qizhi/启智), a specific CLI tool (qzcli), and a specific domain (GPU compute job management). Very unlikely to conflict with other skills due to the niche focus and unique trigger terms.

3 / 3

Total

12

/

12

Passed

Implementation

64%

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

This is a solid, highly actionable CLI reference skill with excellent concrete examples and good structural organization. Its main weaknesses are length (could benefit from splitting advanced topics into referenced files) and the lack of explicit validation checkpoints in multi-step workflows like batch submission. The troubleshooting table is a nice practical addition.

Suggestions

Add explicit validation checkpoints to batch submission workflow: e.g., '1. Preview with --dry-run, 2. Verify job count and parameters, 3. Only then run without --dry-run'

Consider splitting batch config format, HPC jobs, and troubleshooting into separate referenced files to reduce the main skill's token footprint

DimensionReasoningScore

Conciseness

The skill is mostly efficient with concrete commands and tables, but it's quite long (~250 lines) and includes some sections that could be trimmed (e.g., the env-var passthrough section, the HPC/CPU jobs section). Some parameter tables and examples could be more compact, though nothing egregiously explains concepts Claude already knows.

2 / 3

Actionability

Excellent actionability throughout — every section provides copy-paste ready commands with real flags and arguments. The batch config JSON example is complete and executable, parameter tables are specific, and both interactive and non-interactive workflows are covered with concrete examples.

3 / 3

Workflow Clarity

The Quick Start provides a clear 4-step sequence, and job submission has logical flow. However, for batch submission (a potentially destructive batch operation), the --dry-run is mentioned but not positioned as a mandatory validation checkpoint before actual submission. There's no explicit 'validate then proceed' feedback loop for batch or create workflows.

2 / 3

Progressive Disclosure

The content is well-organized with clear section headers and logical grouping, but it's entirely monolithic — all content is inline in a single file with no references to supporting documents. The HPC section, batch config format details, and troubleshooting table could reasonably be split into separate reference files for a skill of this length.

2 / 3

Total

9

/

12

Passed

Validation

81%

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

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

9

/

11

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

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