CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

occupational-health-analyzer

分析职业健康数据、识别工作相关健康风险、评估职业健康状况、提供个性化职业健康建议。支持与睡眠、运动、心理健康等其他健康数据的关联分析。

Quality

69%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/occupational-health-analyzer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

71%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 operationally strong: concrete scoring thresholds, a defined step sequence with validation and error handling, and a complete report template. Its main weaknesses are the undefined 倒班/劳损/压力 risk scores referenced by the composite formula, missing award criteria for ergonomic sub-scores, and a monolithic single-file structure with no progressive disclosure despite its length.

Suggestions

Define the 倒班风险, 劳损风险, and 压力风险 scoring rubrics that the composite formula "综合风险分数 = max(...)" depends on, or state explicitly how they are computed.

Add award criteria for each ergonomic sub-score (e.g., what earns 椅子可调节性 5 points vs 0 points) instead of bare 0–5 point ranges.

Move the detailed per-work-type screening tables and the full report template into a references/ file, keeping SKILL.md as a concise overview with clearly signaled one-level-deep links.

DimensionReasoningScore

Conciseness

The body is dominated by operational scoring rules Claude does not already know (explicit point thresholds, risk cutoffs, output templates) with no teaching of basic concepts, so it mostly earns its tokens. Minor trimming is possible: the 8-item "主要功能模块" overview duplicates the later execution steps, and the ~80-line report template is long, placing it at 4 rather than 5.

4 / 5

Actionability

Guidance is highly concrete — exact point mappings (e.g. 久坐时间 ">8小时:10分"), named data fields (sedentary_time_daily), a full output template, and error messages. Minor gaps remain: the composite formula "综合风险分数 = max(久坐风险, 视屏风险, 倒班风险, 劳损风险, 压力风险)" references shift/strain/stress risk scores that are never defined, and ergonomic sub-scores (e.g. "可调节性(0-5分)") give point ranges without criteria for awarding points — hence 4 rather than 5.

4 / 5

Workflow Clarity

Six clearly sequenced steps (数据读取 → 风险评估 → 人机工程评估 → 筛查 → 关联分析 → 报告) with data validation checkpoints in step 1 (检查文件是否存在, 验证数据结构完整性) and a dedicated error-handling section covering missing files, insufficient data, and high-risk alerts. This is not a destructive or batch operation, so no cap applies; it falls just short of 5 because there is no explicit recovery loop (what to do after validation fails mid-analysis).

4 / 5

Progressive Disclosure

Sections are well-organized with headers, but the ~380-line body inlines everything — full risk-scoring rubrics, screening recommendation tables per work type, and the complete report template — with no reference files at all. The detailed scoring rubrics and report template clearly could be split into separate reference files, matching the 3 anchor (content that should be separate is inline) rather than 4 (most content appropriately placed in a bundle).

3 / 5

Total

15

/

20

Passed

Description

55%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.

The description clearly states what the skill does with several concrete actions, but lacks any explicit 'when to use' trigger guidance and misses the natural user vocabulary (职业病, 久坐, 工位/人机工程) that would make triggering reliable. Its claim to analyze sleep/exercise/mental-health data also blurs its boundary with sibling health skills.

Suggestions

Add an explicit trigger clause, e.g. 'Use when the user mentions occupational health, 职业病, 久坐/长时间坐姿, 工位/人机工程 setup, or work-related symptoms such as 颈肩腰腿痛 or 眼疲劳.'

Include the natural trigger terms users would actually say — 职业病, 久坐, 人机工程/工位, 颈肩痛, 鼠标手/腕管综合征 — rather than only the formal domain term 职业健康.

Clarify that sleep/exercise/mental-health analysis is only auxiliary cross-referencing for occupational health questions, not a standalone capability, to reduce conflict with sibling health skills.

DimensionReasoningScore

Specificity

The description lists several concrete actions — "分析职业健康数据" (analyze occupational health data), "识别工作相关健康风险" (identify work-related health risks), "评估职业健康状况" (assess occupational health status), "提供个性化职业健康建议" (provide personalized advice), plus cross-module correlation analysis — but omits capabilities the body covers (ergonomic assessment, disease screening, trend analysis, alerting), so it is not comprehensive. It sits above the 3 anchor (only 1–2 concrete actions) and below the 5 anchor (comprehensive coverage).

4 / 5

Completeness

The 'what' is clear (occupational health analysis, risk identification, assessment, personalized advice), but there is no 'Use when…' clause or equivalent explicit trigger guidance — the second sentence only describes additional capability. Per the rubric, a missing 'Use when' clause caps completeness at 3.

3 / 5

Trigger Term Quality

Relevant domain keywords are present (职业健康, 工作相关, 睡眠, 运动, 心理健康), but common natural phrasings a user would actually say — such as 职业病 (occupational disease), 久坐 (sedentary/sitting), 人机工程/工位 (ergonomics/workstation), 颈肩痛 (neck/shoulder pain) — are absent. This matches the 3 anchor (some relevant keywords but missing common variations) rather than 4 (good coverage with only a few missing).

3 / 5

Distinctiveness Conflict Risk

The core occupational-health niche is fairly distinct, but explicitly claiming "支持与睡眠、运动、心理健康等其他健康数据的关联分析" (correlation analysis with sleep, exercise, and mental-health data) creates overlap risk with dedicated sleep/fitness/mental-health sibling skills, which could cause it to trigger for those domains. This fits the 3 anchor (somewhat specific but could still overlap) better than 4 (only minor overlap with closely related skills).

3 / 5

Total

13

/

20

Passed

Validation

87%

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

Validation — 14 / 16 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

14

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

skills/occupational-health-analyzer/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.