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/ebook-analysis

@7eca2c9
by J Wyniajwynia/agent-skills160 stars
20

Parse ebooks, extract concepts and entities with citation traceability, classify by type/layer, and synthesize across book collections.

Use this Skill: https://skilld.dev/gh/jwynia/agent-skills/ebook-analysis

This session only. Nothing lands on disk.

templatesanalysis-report.md

≈805 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Ebook Analysis Report Template

Use this template to generate human-readable analysis reports.


Analysis Report: {BOOK_TITLE}

Author: {AUTHOR} Analysis Date: {DATE} Source File: {FILE_PATH}

Summary

  • Total Concepts Extracted: {CONCEPT_COUNT}
  • Chapters Analyzed: {CHAPTER_COUNT}
  • Relationships Identified: {RELATIONSHIP_COUNT}

Concept Distribution by Type

Type Count Percentage
Principle {PRINCIPLE_COUNT} {PRINCIPLE_PCT}%
Mechanism {MECHANISM_COUNT} {MECHANISM_PCT}%
Pattern {PATTERN_COUNT} {PATTERN_PCT}%
Strategy {STRATEGY_COUNT} {STRATEGY_PCT}%
Tactic {TACTIC_COUNT} {TACTIC_PCT}%

Concept Distribution by Layer

Layer Name Count Percentage
0 Foundational {LAYER_0_COUNT} {LAYER_0_PCT}%
1 Theoretical {LAYER_1_COUNT} {LAYER_1_PCT}%
2 Strategic {LAYER_2_COUNT} {LAYER_2_PCT}%
3 Tactical {LAYER_3_COUNT} {LAYER_3_PCT}%
4 Specific {LAYER_4_COUNT} {LAYER_4_PCT}%

Key Concepts

Foundational Principles (Layer 0-1)

{For each principle/mechanism at Layer 0-1:}

{CONCEPT_NAME}

Type: {TYPE} | Layer: {LAYER}

"{EXACT_QUOTE}" — {CHAPTER_TITLE}, position {START_POSITION}

Significance: {EXTRACTION_NOTES}

Related Concepts:

  • {RELATIONSHIP_TYPE} → {RELATED_CONCEPT_NAME}
  • ...

Strategic Frameworks (Layer 2)

{For each pattern/strategy at Layer 2:}

{CONCEPT_NAME}

Type: {TYPE} | Layer: {LAYER}

"{EXACT_QUOTE}" — {CHAPTER_TITLE}, position {START_POSITION}

Components/Related:

  • {COMPOSED_OF concepts}

Tactical Guidance (Layer 3-4)

{For each tactic at Layer 3-4, grouped by chapter or theme:}

{CHAPTER_OR_THEME_NAME}:

  • {CONCEPT_NAME}: "{EXACT_QUOTE}" (p. {POSITION})
  • ...

Concept Network

Most Connected Concepts (Hubs)

Concept Connections Types
{CONCEPT_NAME} {CONNECTION_COUNT} {RELATIONSHIP_TYPES}
... ... ...

Key Relationships

{For each significant relationship:}

{SOURCE_CONCEPT} —[{RELATIONSHIP_TYPE}]→ {TARGET_CONCEPT}

  • Strength: {STRENGTH}
  • Evidence: {EVIDENCE}

Themes

{If thematic analysis was performed:}

Primary Themes

  1. {THEME_NAME} ({CONCEPT_COUNT} concepts)

    • Key concepts: {CONCEPT_LIST}
  2. {THEME_NAME} ({CONCEPT_COUNT} concepts)

    • Key concepts: {CONCEPT_LIST}

Citations Requiring Review

{List concepts flagged for human review:}

Concept Issue Quote
{CONCEPT_NAME} {REVIEW_REASON} "{QUOTE_SNIPPET}..."

Methodology Notes

  • Extraction depth: {DEPTH}
  • Chunk size: {CHUNK_SIZE} characters with {OVERLAP} overlap
  • Classification approach: LLM judgment with reference materials
  • Review status: {REVIEW_STATUS}

Export Information

  • Analysis file: {ANALYSIS_JSON_PATH}
  • Concepts file: {CONCEPTS_JSON_PATH}
  • Citations file: {CITATIONS_JSON_PATH}
  • Graph export: {GRAPH_EXPORT_PATH} (if applicable)

Generated by ebook-analysis skill on {DATE}

Source: SKILL.md on GitHub

2 warnings14d5 checks · Risk SAFE
  • Gen Agent Trust Hub14d

    The skill is safe for parsing and analyzing local ebook collections using Deno-based scripts and LLM prompts. It presents a low-risk surface for indirect prompt injection if malicious content within analyzed ebooks attempts to influence the agent during extraction or classification phases.

  • Socket14d

    No alerts

  • Snyk14d

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    22/22 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 7eca2c9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Dormantupdated 8 months ago
Other metadata
metadata
{
  "author": "jwynia",
  "version": "2.1",
  "domain": "research",
  "cluster": "media-meta-analysis",
  "type": "orchestrator",
  "mode": "diagnostic+generative",
  "maturity": "working",
  "maturity_score": 14
}

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