Book To SkillCAUTION

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: book-to-skill
description: "Converts books and documents (PDF, EPUB, DOCX, HTML, Markdown, plain text, RTF, MOBI/AZW with Calibre) into structured agent skills, extracting frameworks, mental models, principles, techniques, and anti-patterns. Use when the user wants to study a document through GitHub Copilot CLI, Amp, Claude Code, Hermes Agent, OpenCode, or OpenClaw, apply an author's frameworks while working, or build a reusable knowledge base from a file."
---

<!--
Cross-agent notes (informational; ignored by host agents):
  - Compatible skill roots: GitHub Copilot CLI (~/.copilot/skills, ~/.agents/skills,
    .github/skills, .claude/skills, .agents/skills), Amp (.agents/skills,
    ~/.config/agents/skills, ~/.config/amp/skills), Claude Code (~/.claude/skills),
    Hermes Agent ($HERMES_HOME/skills, .hermes/skills, .agents/skills),
    OpenClaw (${OPENCLAW_STATE_DIR:-~/.openclaw}/skills, .agents/skills, skills/;
    ~/.agents/skills only with the default state).
    OpenCode (~/.config/opencode/skills, ~/.claude/skills, .opencode/skills,
    ~/.agents/skills, .agents/skills).
  - `allowed-tools` is intentionally omitted to stay agent-neutral: Copilot CLI uses
    `shell`/MCP-server names, Claude uses `Bash`/`Read`/`Write`/`Glob`/`Grep`, Amp
    adds `shell_command`. The skill needs shell (to run extract.py) and file
    read/write — each host will prompt for those on first use.
  - Argument hint: <path-to-document-folder-or-glob>... [skill-name-slug]
-->

# Book-to-Skill Converter

Transform written knowledge into actionable agent skills by extracting structure — not producing summaries.

## Philosophy

Books contain crystallized expertise: frameworks, principles, and techniques that took years to develop. This skill extracts that knowledge into a format GitHub Copilot CLI, Amp, Claude Code, Hermes Agent, OpenCode, OpenClaw, or another compatible agent can leverage repeatedly.
**Extract structure, not summaries.** A skill isn't a book report. It's a toolkit of:
- Named frameworks (mental models with clear application)
- Actionable principles (rules that guide decisions)
- Techniques (step-by-step methods)
- Anti-patterns (what to avoid and why)
- Voice calibration (how the author thinks and communicates)

**Preserve the author's precision.** Frameworks often have specific names for reasons. "The 5 Whys" isn't interchangeable with "ask why multiple times." Capture the exact formulation.

**Layer depth appropriately.** Simple books → simple skills. Complex books with 10+ frameworks → skills with reference files and on-demand chapters.

---

## Modes of Operation

Four paths available. Route based on what the user asks:

### 1. Full Conversion (Default)
**Trigger:** User provides one or more document/directory/glob paths without special instructions
**Action:** Run all steps below (Steps 0–9)
**Output:** Complete skill with SKILL.md, chapters/, glossary, patterns, cheatsheet

### 2. Analyze Only
**Trigger:** User says "analyze", "just extract", or "I want to review before generating"
**Action:** Run Steps 0–3, then produce a structured extraction report (frameworks, principles, techniques found). Stop — do NOT generate skill files.
**Output:** Analysis report for user review

### 3. Generate from Prior Analysis
**Trigger:** User has existing analysis notes or previously ran analyze-only
**Action:** Skip Steps 0–3, use the provided analysis as input, run Steps 4–9
**Output:** Skill files from the provided analysis

### 4. Update / Fold-in (Existing Skill)
**Trigger:** User provides one or more new source paths and indicates they want to update an existing skill (either by pointing to the existing skill folder, providing a skill slug that already exists in `SKILLS_HOME`, or explicitly requesting an update).
**Action:** Run Step 0 (out-of-scope check), Step 1 (validate inputs), Step 1.5 (identify book type), and Step 2 (extract new files). Then skip to Step 5 (identify/detect existing skill path) and run the **Update / Fold-in Workflow** to merge the new content into the existing skill files.
**Output:** Updated existing skill with new/revised chapter summaries and merged indexes/glossaries.

---

## Skill Locations

This converter can run from multiple skill systems. When looking for this converter's helper script or writing the generated book skill, prefer these locations in order:

1. GitHub Copilot CLI personal skills: `~/.copilot/skills/`
2. Cross-agent personal skills (Copilot, Amp, Codex; OpenClaw with its default state): `~/.agents/skills/`
3. Claude Code personal skills: `~/.claude/skills/`
4. Project-local Copilot skills: `.github/skills/`
5. Project-local Claude skills: `.claude/skills/`
6. Project-local Amp / Copilot / OpenClaw skills: `.agents/skills/`
7. Amp global skills: `~/.config/agents/skills/`
8. Amp legacy global skills: `~/.config/amp/skills/`
9. Hermes Agent personal skills: `$HERMES_HOME/skills/` (defaults to `~/.hermes/skills/`)
10. Hermes Agent project skills: `.hermes/skills/` or `.agents/skills/`
11. OpenClaw personal skills: `${OPENCLAW_STATE_DIR:-~/.openclaw}/skills/` (active state; `~/.agents/skills/` is shared only with the default state)
12. OpenClaw project skills: `.agents/skills/` or `skills/`
11. OpenCode personal skills: `~/.config/opencode/skills/` or `~/.agents/skills/`
12. OpenCode project skills: `.opencode/skills/` or `.agents/skills/`

For **generated** book skills, prefer the user-level cross-agent root `~/.agents/skills/` — one physical copy serves the cross-agent hosts and OpenClaw when it uses its default state. Copilot CLI and Amp discover it natively; Claude Code needs a symlink from `~/.claude/skills/<skill_name>` (created in Step 10, see Step 5 for the rules). Pick a host-private or project-local root only when the user explicitly asks for one. `BOOK_TO_SKILL_SCOPE=project` or `personal` can make that choice explicit for automation; do not ask a mandatory scope question merely because both scopes are available.

---

## Step 0 — O

CAUTIONgrade B · trust 86/100 Install with care. The audit found things worth knowing before you trust its output.

What the source does

Filesystem

none-observed

Network

declared (2 observation(s))

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (18)

"tool.exfiltration_shape",

"contains exfiltration-shaped tool or sensitive-data language",

m["سیام"] = 30  # ZWNJ spelling common in Persian typography

"tool.exfiltration_shape",

"Глава 1 Введение\nсодержание\n"

"ГЛАВА 2 Методы\nсодержание\n"

"Глава 3 Результаты\nсодержание"

text = "## Глава 1 Первая\nсодержание\n## Глава 2 Вторая\nсодержание"

"Κεφάλαιο 1 Εισαγωγή\nπεριεχόμενο\n"

""  # LEFT-TO-RIGHT EMBEDDING

""  # RIGHT-TO-LEFT EMBEDDING

""  # POP DIRECTIONAL FORMATTING

""  # LEFT-TO-RIGHT OVERRIDE

""  # RIGHT-TO-LEFT OVERRIDE

"පරිච්ඡේදය ෨ ක්රම\nසාරාංශය\n"

"පරිච්ඡේදය 3 ප්රතිඵල\nසාරාංශය"

assert _chapter_number("فصل سیام") == 30

heading = "فصل سیام"

Gates applied: no_behavioural_pass.

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