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Validating Intelligence JSON Output | Skills Pool

技能檔案

Validating Intelligence JSON Output

Automatically ensures 100% valid JSON output for intelligence article analysis. This skill MUST be used for EVERY article analysis request. Runs validation loops until output contains exactly 6 markdown sections (Executive Summary, Key Findings, Pattern Recognition, Strategic Implications, Confidence Assessment, Actionable Intelligence) and 3 numeric scores (sourceQuality 0-100, informationReliability 0-100, protocolRelevance 0-100). Always validate before returning results to guarantee structured output quality.

adamking770 星標2025年10月27日

職業
分類: 代碼質素

技能內容

When to Use

After analyzing news articles for intelligence summaries
When structured JSON output with specific sections is required
When quality scores need validation (0-100 range)
User mentions: "JSON validation", "article analysis", "intelligence summary"

Workflow (Validation Loop Pattern)

Generate analysis - Create initial article analysis response
Validate structure - Run validate_schema.py to check format
If validation fails - Review error messages and fix issues
Re-validate - Repeat step 2 until validation passes
Return validated JSON - Only when validation passes

Output Format

See reference/schema.md for complete JSON schema documentation.

Required structure:

: String containing 6 markdown sections

相關技能

快速安裝

Validating Intelligence JSON Output

npx skills add adamking77/intelli-zen

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作者: adamking77
星標: 0
更新時間: 2025年10月27日
職業

本頁內容

01When to Use 02

summary

sourceQuality: Integer 0-100

informationReliability: Integer 0-100

protocolRelevance: Integer 0-100

Required Markdown Sections

The summary field must contain exactly these 6 sections in markdown format:

Executive Summary
Key Findings
Pattern Recognition
Strategic Implications
Confidence Assessment
Actionable Intelligence

Validation Script Usage

To validate JSON output, use the validation script:

python scripts/validate_schema.py

The script will:

Check all required fields are present
Validate score ranges (0-100)
Verify all 6 markdown sections exist
Provide specific error messages with found vs. expected values

Error Handling

When validation fails, the script provides specific guidance:

Lists missing fields with available fields shown
Shows incorrect score values with valid range
Identifies missing sections with sections that were found
Helps quickly identify and fix structural issues

See reference/schema.md for detailed schema specification and examples.

Workflow (Validation Loop Pattern)

03Output Format

04Required Markdown Sections

05Validation Script Usage

06Error Handling

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