Evidence Formatter Skill

Format correlated technology evidence into structured, citation-ready documentation.

Updated May 27, 2026
One-click install
npx skills add https://github.com/hoanghn61/.agents --skill evidence-formatter-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Evidence Formatter Skill
Source: https://github.com/hoanghn61/.agents/tree/main/skills/techstack-identification/evidence_formatter
Command: npx skills add https://github.com/hoanghn61/.agents --skill evidence-formatter-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Formats raw technology identification evidence into clear, verifiable documentation with consistent reasoning, attribution, and citation-style outputs.

Core Features & Use Cases

  • Evidence-to-report formatting: Converts confidence-scored evidence into structured entries that group technical signals and job-posting mentions with transparent reasoning.
  • Deduplication: Merges highly similar or redundant evidence while preserving the strongest signal and maintaining source attribution.
  • Citation generation: Produces human-readable citations for every evidence item, including source skill name, URLs, timestamps, and strength.
  • Limitation documentation: Adds caveats and recommendations when evidence quality is limited (e.g., job-posting-only or weak/insufficient technical signals).

Quick Start

Use the evidence_formatter skill to format and cite the technologies and their evidence from your correlation and confidence scoring pipeline.

Frequently Asked Questions about Evidence Formatter Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I format raw technology evidence into report-ready citations?

Formatting raw technology evidence into structured citations involves grouping technical signals and job-posting mentions with transparent reasoning, deduplicating redundant entries, and generating source attribution with URLs and timestamps for human review.

What is evidence deduplication in technology identification reports?

Evidence deduplication merges highly similar or redundant technology signals while preserving the strongest signal and maintaining original source attribution. This ensures structured, citation-ready documentation avoids repetitive entries.

Can I generate confidence-scored citations for multiple detected technologies at once?

Generating confidence-scored citations for multiple detected technologies requires inputting technologies_with_confidence data. The formatting process groups evidence by type, adds timestamps and URLs, and documents confidence limitations across all entries.

How do I document limitations when technology evidence only has weak signals?

Documenting limitations for weak or insufficient technical signals involves adding caveats and recommendations directly into the formatted evidence output. This flags job-posting-only or low-quality evidence for human review.

What's the best way to structure technical signals and job-posting mentions for report generation?

Structuring technical signals and job-posting mentions for report generation requires grouping correlated evidence by type, applying confidence scoring, and producing human-readable citations with source attribution and transparent reasoning.

Does evidence formatting work with historical context from detected technologies?

Evidence formatting works with optional historical context alongside technical signals and job-posting mentions. It processes correlated technology evidence to produce deduplicated, citation-ready documentation with timestamps and URLs.