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log-parser

Use this skill when the task involves inspecting, searching, or extracting information from application log files. Suitable for tasks like "my application is crashing and I need to find the errors", "scan these logs for warnings", "extract all exceptions from this log file", or "find slow requests in my server logs". Triggered by debugging, incident investigation, or log analysis needs.

69

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is log-parser in agentscope-ai/agentscope-java

SKILL.md
Quality
Evals
Security

Quality

Content

86%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 body is a tight, well-organized overview that points to a real bundled script and gives executable commands. It is appropriately concise and well-structured, with only minor gaps in actionability and workflow verification.

Suggestions

Add a brief note on verifying results, e.g. checking the output JSON count or handling empty/zero-match results, to add a validation checkpoint.

Show an example of the default stdout output (omitting --output) so the common no-file case is explicitly covered.

Document expected output schema fields (line, timestamp, level, message) inline so Claude can interpret results without reading the script.

DimensionReasoningScore

Conciseness

Lean and efficient with no padding or explanation of concepts Claude already knows; every line (purpose statement, one-line script description, two executable commands) earns its place.

5 / 5

Actionability

Provides copy-paste-ready executable commands with specific flags (--input, --output, --level) covering common cases, with only minor gaps such as not showing the default stdout behavior or how to interpret the output.

4 / 5

Workflow Clarity

As a simple single-action skill the action (run the script with --input) is unambiguous and clearly sequenced, but no verification step for the output is described, leaving a minor checkpoint gap.

4 / 5

Progressive Disclosure

Under 50 lines with a real, one-level-deep script reference (scripts/extract_errors.py, verified present) and well-organized sections (Available Scripts, Usage), matching the simple-skill exception for a top score.

5 / 5

Total

18

/

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.

The description is well-crafted: it states concrete capabilities, provides natural trigger phrases a user would actually say, and explicitly covers both what and when. It is mostly distinct from other skills with only minor overlap risk.

DimensionReasoningScore

Specificity

Names the domain plus several concrete actions ("inspecting, searching, or extracting information") and four concrete example tasks (find errors, scan warnings, extract exceptions, find slow requests), with only minor gaps in coverage.

4 / 5

Completeness

Explicitly answers both what (inspect/search/extract information from log files) and when ("Use this skill when...", "Triggered by debugging, incident investigation, or log analysis needs") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good coverage of natural phrases users would say ("application is crashing", "scan these logs for warnings", "find slow requests", "debugging", "incident investigation"), though it omits synonyms like file extensions (.log).

4 / 5

Distinctiveness Conflict Risk

Has a clear niche (application log file analysis) with distinct triggers, with only minor overlap risk against general debugging or troubleshooting 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
agentscope-ai/agentscope-java
Reviewed

Table of Contents

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