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monitor-experiment

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

82%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.

A lean, highly actionable monitoring workflow: concrete ssh and W&B commands, explicit fallback paths for each failure mode, and a clear interpretation rubric. Weaker spots are the command-less Vast.ai/Modal and Feishu steps, which rely on Claude improvising the actual checks.

DimensionReasoningScore

Conciseness

The body is almost entirely executable commands and terse directives (ssh/screen snippets, wandb API heredocs, a compact table, short key rules) with no concept explanations or padding; every token earns its place and it assumes Claude's competence.

5 / 5

Actionability

Most steps give concrete executable commands (screen hardcopy, ls/cat on JSON results, wandb Api scripts), but the Feishu notification step names a config file with no send command, the Vast.ai/Modal checks ("check instance state", "check the Modal run/app logs") lack commands, and the results table is a placeholder skeleton.

4 / 5

Workflow Clarity

Steps 1–6 are clearly sequenced with error-recovery fallbacks (hardcopy fails → check log files; W&B unavailable → report and fall back to logs/JSON; results look wrong → check training logs first), but the Modal and Vast.ai verification steps are named without concrete checkpoints or commands.

4 / 5

Progressive Disclosure

No bundle files exist and the body is well-organized into clearly headed sections with no buried or nested references, so navigation is easy; however, at ~95 lines the W&B query details and backend-specific checks could plausibly live in separate reference files, leaving minor organization gaps.

4 / 5

Total

17

/

20

Passed

Description

83%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 description following the best-practice pattern: a compact statement of concrete capabilities followed by an explicit 'Use when' clause with quoted natural trigger phrases. The only improvements would be broader trigger synonyms and slightly fuller capability coverage.

DimensionReasoningScore

Specificity

"Monitor running experiments, check progress, collect results" lists three concrete actions matching the anchor for several specific actions with minor gaps; it stops short of comprehensive coverage of what the body actually does (summarizing, comparing to baselines, notifying).

4 / 5

Completeness

It explicitly answers both questions: the what ("Monitor running experiments, check progress, collect results") and the when ("Use when user says 'check results', 'is it done', 'monitor', or wants experiment output") with concrete trigger phrases, mirroring the anchor-5 example structure.

5 / 5

Trigger Term Quality

Quoted phrases "check results", "is it done", "monitor" are natural things a user would say, giving good keyword coverage, though common variations like "training done", "how's the run", or "pull metrics" are missing.

4 / 5

Distinctiveness Conflict Risk

The experiment-monitoring niche is clear and mostly distinct, but generic trigger phrases like "is it done" and "check results" create minor overlap risk with other background-task or process-monitoring skills.

4 / 5

Total

17

/

20

Passed

Validation

100%

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

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

Path

skills/skills-codex/monitor-experiment/SKILL.md

Reviewed

Table of Contents

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