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data-analysis

Statistical data analysis skill — use when the user asks to analyze numbers, compute statistics, or summarize datasets.

65

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./agentscope-examples/documentation/src/main/resources/skills/data-analysis/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.

A brief, well-structured skill body with a clear two-step workflow appropriate for a simple single-purpose tool. Its main weakness is actionability: tools are named but never shown how to invoke, with no arguments or examples.

Suggestions

Add an executable example showing how to call `analyze_data` and `write_summary`, including key arguments and expected output format.

Replace the role opener "You are a data analysis assistant" with a direct capability statement to remove padding.

Add a brief verification note for `write_summary` (e.g., confirm the file path before overwriting) to add a validation checkpoint.

DimensionReasoningScore

Conciseness

The body is lean — a short numbered workflow and one closing line — with only minor over-explanation in the role opener "You are a data analysis assistant"; not a 5 because that role line is mild padding Claude does not need.

4 / 5

Actionability

Names the specific tools (`analyze_data`, `write_summary`) and their outputs (count, sum, min, max, average), but gives no invocation syntax, arguments, or executable example, leaving key details missing; not a 4 because the guidance is not copy-paste executable, and not a 2 because it does point to concrete tools.

3 / 5

Workflow Clarity

A clear two-step numbered sequence with a conditional second step ("if the user asks") is well-ordered for a simple skill; not a 5 because there is no validation/checkpoint and write_summary could overwrite a file, but the operation is low-risk so the simple-skill exception keeps it above 3.

4 / 5

Progressive Disclosure

A short, well-organized single-heading skill under 50 lines with no need for external references, satisfying the simple-skill exception that allows a 5 with clean section organization and no nested references.

5 / 5

Total

16

/

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 concise, well-formed description that clearly answers both what the skill does and when to use it, with natural trigger phrases. Main gap is the absence of file-extension/synonym triggers and slightly overlapping action verbs.

Suggestions

Add concrete file-type triggers (e.g., .csv, .xlsx, spreadsheets) to broaden natural keyword coverage.

Differentiate the listed actions (analyze/compute/summarize overlap heavily); consider distinct capabilities like "generate charts" or "compute distributions".

Sharpen the "what" with a more concrete capability list rather than the generic label "Statistical data analysis skill".

DimensionReasoningScore

Specificity

Names the domain plus several actions — "analyze numbers, compute statistics, or summarize datasets" — matching the anchor that lists several specific actions with minor gaps; not a 5 because the actions overlap and "compute statistics" is somewhat generic rather than comprehensive.

4 / 5

Completeness

Explicitly states both what ("Statistical data analysis skill" with the listed actions) and when ("use when the user asks to analyze numbers, compute statistics, or summarize datasets") with concrete trigger phrases, matching the anchor that requires both; not below because the "use when" clause is explicit and trigger-rich.

5 / 5

Trigger Term Quality

Includes natural phrases users would say ("analyze numbers", "compute statistics", "summarize datasets") giving good keyword coverage; not a 5 because it lacks synonyms and file extensions (e.g., .csv, .xlsx, spreadsheets) that would make coverage comprehensive.

4 / 5

Distinctiveness Conflict Risk

"Statistical data analysis" is a mostly distinct niche with specific triggers, but could overlap with spreadsheet or general data-skills; not a 5 because the niche is not as sharply bounded as a file-format-specific skill.

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
agentscope-ai/agentscope-java
Reviewed

Table of Contents

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