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goal-analyzer

分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。

40

Quality

41%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

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

Quality

Content

25%Scale 1-5

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

This skill reads like a comprehensive product specification or feature requirements document rather than actionable instructions for Claude. It is severely verbose, explaining well-known concepts (SMART goals, habit formation psychology, correlation analysis) at length while lacking clear workflows for how Claude should actually process requests. The content would benefit enormously from being condensed to ~20% of its current size, restructured into a clear workflow with decision points, and split across multiple files for detailed reference material.

Suggestions

Reduce content by 70-80%: Remove explanations of SMART goals, habit formation stages, motivation psychology, and other concepts Claude already knows. Focus only on project-specific data formats, file paths, and decision rules.

Add a clear top-level workflow: e.g., '1. Read user request → 2. Identify analysis type → 3. Load relevant data files → 4. Perform analysis → 5. Validate results → 6. Generate output'. Include validation checkpoints for data loading and result sanity checks.

Extract detailed content into bundle files: Move ECharts templates to a CHARTS.md, achievement definitions to ACHIEVEMENTS.md, output format templates to TEMPLATES.md, and reference them from a concise SKILL.md overview.

Replace pseudocode with executable code: The SMART validation Python snippet uses undefined functions. Either provide complete implementations or remove the pseudocode and describe the logic concisely in prose.

DimensionReasoningScore

Conciseness

Extremely verbose at ~400+ lines. Extensively explains concepts Claude already knows (what SMART goals are, what correlation coefficients mean, habit formation stages, motivation psychology). Massive amounts of descriptive content that could be condensed to a fraction of the size. Lists every possible obstacle type, achievement type, and report type with explanations Claude doesn't need.

1 / 5

Actionability

Provides some concrete examples (JSON output schemas, ECharts config snippets, Python pseudocode for SMART validation), but most content is descriptive rather than executable. The Python code is pseudocode with undefined functions. The skill reads more like a product requirements document than actionable instructions for Claude to follow.

3 / 5

Workflow Clarity

No clear step-by-step workflow for how Claude should actually process a request. The skill lists features and outputs but doesn't sequence them into a coherent process. No validation checkpoints, no error handling, no decision tree for which analysis to perform when. The data file paths are mentioned but there's no workflow for handling missing data or invalid inputs.

2 / 5

Progressive Disclosure

Monolithic wall of content with no references to external files despite the content clearly warranting separation (e.g., ECharts templates, achievement definitions, output format templates could all be in separate files). No bundle files are provided, and the skill doesn't reference any supporting documents. All 400+ lines are inlined in a single file with minimal structural hierarchy.

2 / 5

Total

8

/

20

Passed

Description

58%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 provides a reasonable overview of capabilities in health goal analysis with specific actions listed, but lacks an explicit 'Use when...' clause that would help Claude know when to select this skill. The trigger terms are domain-appropriate but could include more natural user language variations.

Suggestions

Add an explicit 'Use when...' clause with trigger phrases like '当用户提到健康目标设定、目标追踪、目标完成率、健康计划评估时使用'

Include more natural user language variations and synonyms such as '减肥目标', '健身计划', '习惯养成', '目标达成率' to improve trigger term coverage

DimensionReasoningScore

Specificity

Lists several specific actions: analyzing health goal data, identifying goal patterns, evaluating goal progress, and providing personalized goal management suggestions. Also mentions correlation analysis with nutrition, exercise, and sleep data. Minor gaps in coverage but reasonably comprehensive.

4 / 5

Completeness

Has a clear 'what' (analyze health goal data, identify patterns, evaluate progress, provide suggestions), but there is no explicit 'when' clause or trigger guidance. The description only states capabilities without specifying when Claude should select this skill.

3 / 5

Trigger Term Quality

Contains relevant keywords like '健康目标' (health goals), '营养' (nutrition), '运动' (exercise), '睡眠' (sleep), '进度' (progress), but lacks natural user phrases, file types, or common synonyms users might say when requesting this skill.

3 / 5

Distinctiveness Conflict Risk

Fairly distinct with its focus on health goals specifically, combined with pattern identification and progress evaluation. The mention of correlation with nutrition, exercise, and sleep data helps distinguish it, though it could overlap with general health data analysis skills.

4 / 5

Total

14

/

20

Passed

Validation

72%

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

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (608 lines); consider splitting into references/ and linking

Warning

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

8

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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