Skills

Autonomous novel writing CLI agent - use for creative fiction writing, novel generation, style imitation, chapter continuation/import, EPUB export, AIGC dete...

Security Scan

The skill is internally consistent with an LLM-powered CLI writing tool — it asks for a local CLI and Node, installs via npm, and its instructions operate on project files and user-provided LLM API keys — but exercise normal caution (vet the npm package, avoid passing secrets on the CLI).

Purpose & Capability

Name/description, required binaries (inkos, node), and the npm install (@actalk/inkos) align with an LLM-driven CLI writing agent. Features (multi-agent pipeline, export, auditing, multi-provider support) are coherent with requiring LLM provider credentials at runtime.

Instruction Scope

SKILL.md instructs the agent to create and read local project files (story/state/*.json, story/memory.db), configure LLM providers, and run pipelines — all consistent with a novel-writing CLI. It also shows examples that accept API keys on the command line or via env vars (e.g., --api-key sk-xxx, --api-key-env ANTHROPIC_API_KEY). Those examples are expected but carry operational risks (shell-history leakage, local storage of potentially sensitive content).

Install Mechanism

Install is via an npm package (@actalk/inkos), which is the expected distribution method for a Node CLI. NPM packages have moderate trust risk — the installer will write code to disk and create the 'inkos' binary. Verify the package/source before installing.

Credentials

The SKILL.md clearly expects OpenAI/Anthropic or custom OpenAI-compatible API keys and shows using env vars, but the skill metadata lists no required env vars. Requesting LLM API keys is proportionate to the functionality, but the metadata could be clearer about required credentials. The examples also encourage passing secrets on the command line (insecure).

Persistence & Privilege

always: false and normal autonomous invocation settings. The tool persists project files (JSON, sqlite) within its project directory, which is expected behavior and limited in scope.

Assessment

This appears to be a legitimate CLI for autonomous novel writing, but take these precautions before installing: 1) Inspect the npm package and the GitHub repo (https://github.com/Narcooo/inkos) to confirm origin and reputation. 2) Do not pass API keys directly on the command line (they can end up in shell history); prefer environment variables or a secure credential store. 3) Review what local files it will create (story/state/*.json, story/memory.db) and avoid placing sensitive texts you don't want persisted. 4) If you use a custom provider base URL, be sure you trust that endpoint because all generated/imported content and project data may be sent there. 5) Consider running npm installs in an isolated environment (container or dedicated VM) if you want to reduce risk from untrusted packages.

InkOS - Autonomous Novel Writing Agent

InkOS is a CLI tool for autonomous fiction writing powered by LLM agents. It orchestrates a multi-agent pipeline (Radar → Planner → Composer → Architect → Writer → Observer → Reflector → Normalizer → Auditor → Reviser) to generate, audit, and revise novel content with zero human intervention per chapter.

The pipeline operates in three phases:

• Phase 1 (Creative Writing, temp 0.7): Planner generates chapter intent with hook agenda, Composer selects relevant context, Writer produces prose with length governance and dialogue-driven guidance.
• Phase 2 (State Settlement, temp 0.3): Observer over-extracts 9 categories of facts, Reflector outputs a JSON delta (not full markdown), code-layer applies Zod schema validation and immutable state update. Hook operations use upsert/mention/resolve/defer semantics.
• Phase 3 (Quality Loop): Normalizer adjusts chapter length, Auditor runs 33-dimension check including hook health analysis, Reviser auto-fixes critical issues. Self-correction loop runs until all critical issues clear.

Truth files are persisted as schema-validated JSON (story/state/*.json) with markdown projections for human readability. SQLite temporal memory database (story/memory.db) enables relevance-based retrieval on Node 22+.

When to Use InkOS

• English novel writing: Native English support with 10 genre profiles (LitRPG, Progression Fantasy, Isekai, etc.). Set --lang en
• Chinese web novel writing: 5 built-in Chinese genres (xuanhuan, xianxia, urban, horror, other)
• Fan fiction: Create fanfic from source material with 4 modes (canon, au, ooc, cp)
• Batch chapter generation: Generate multiple chapters with consistent quality
• Import & continue: Import existing chapters from a text file, reverse-engineer truth files, and continue writing
• Style imitation: Analyze and adopt writing styles from reference texts
• Spinoff writing: Write prequels/sequels/spinoffs while maintaining parent canon
• Quality auditing: Detect AI-generated content and perform 33-dimension quality checks
• Genre exploration: Explore trends and create custom genre rules
• Analytics: Track word count, audit pass rate, and issue distribution per book

Initial Setup

First Time Setup

# Initialize a project directory (creates config structure)
inkos init my-writing-project

# Configure your LLM provider (OpenAI, Anthropic, or any OpenAI-compatible API)
inkos config set-global --provider openai --base-url https://api.openai.com/v1 --api-key sk-xxx --model gpt-4o
# For compatible/proxy endpoints, use --provider custom:
# inkos config set-global --provider custom --base-url https://your-proxy.com/v1 --api-key sk-xxx --model gpt-4o

Multi-Model Routing (Optional)

# Assign different models to different agents — balance quality and cost
inkos config set-model writer claude-sonnet-4-20250514 --provider anthropic --base-url https://api.anthropic.com --api-key-env ANTHROPIC_API_KEY
inkos config set-model auditor gpt-4o --provider openai
inkos config show-models

Agents without explicit overrides fall back to the global model.

View System Status

# Check installation and configuration
inkos doctor

# View current config
inkos status

Common Workflows

Workflow 1: Create a New Novel

1. Initialize and create book:

   inkos book create --title "My Novel Title" --genre xuanhuan --chapter-words 3000
   # Or with a creative brief (your worldbuilding doc / ideas):
   inkos book create --title "My Novel Title" --genre xuanhuan --chapter-words 3000 --brief my-ideas.md
   

   • Genres: xuanhuan (cultivation), xianxia (immortal), urban (city), horror, other
   • Returns a book-id for all subsequent operations

2. Generate initial chapters (e.g., 5 chapters):

   inkos write next book-id --count 5 --words 3000 --context "young protagonist discovering powers"
   

   • The write next command runs the full pipeline: draft → audit → revise
   • --context provides guidance to the Architect and Writer agents
   • Returns JSON with chapter details and quality metrics

3. Review and approve chapters:

   inkos review list book-id
   inkos review approve-all book-id
   

4. Export the book (supports txt, md, epub):

   inkos export book-id
   inkos export book-id --format epub
   

Workflow 2: Continue Writing Existing Novel

1. List your books:

   inkos book list
   

2. Continue from last chapter:

   inkos write next book-id --count 3 --words 2500 --context "protagonist faces critical choice"
   

   • InkOS maintains 7 truth files (world state, character matrix, emotional arcs, etc.) for consistency
   • If only one book exists, omit book-id for auto-detection

3. Review and approve:

   inkos review approve-all
   

Workflow 2.5: Steering Chapter Focus Before Writing

Use this when the user says things like "pull focus back to the mentor conflict", "pause the merchant guild subplot", or "change what the next chapter should prioritize".

1. Update the book-level control docs when needed:

   • Use update_author_intent to change the long-horizon identity of the book
   • Use update_current_focus to change the next 1-3 chapters' focus

2. Compile the next chapter intent:

   plan_chapter(bookId, guidance?)
   

   • Generates story/runtime/chapter-XXXX.intent.md
   • Use this to verify what the system thinks the next chapter should do

3. Compose the actual runtime input package:

   compose_chapter(bookId, guidance?)
   

   • Generates story/runtime/chapter-XXXX.context.json
   • Generates story/runtime/chapter-XXXX.rule-stack.yaml
   • Generates story/runtime/chapter-XXXX.trace.json

4. Only then write:

   • write_draft if the user wants intermediate review
   • write_full_pipeline if they want the usual write → audit → revise flow

Recommended orchestration:

• user asks to redirect focus
• update_current_focus
• plan_chapter
• compose_chapter
• inspect the resulting intent/paths
• write_draft or write_full_pipeline

Workflow 3: Import Existing Chapters & Continue

Use this when you have an existing novel (or partial novel) and want InkOS to pick up where it left off.

1. Import from a single text file (auto-splits by chapter headings):

   inkos import chapters book-id --from novel.txt
   

   • Automatically splits by 第X章 pattern
   • Custom split pattern: --split "Chapter\\s+\\d+"

2. Import from a directory of separate chapter files:

   inkos import chapters book-id --from ./chapters/
   

   • Reads .md and .txt files in sorted order

3. Resume interrupted import:

   inkos import chapters book-id --from novel.txt --resume-from 15
   

4. Continue writing from the imported chapters:

   inkos write next book-id --count 3
   

   • InkOS reverse-engineers all 7 truth files from the imported chapters
   • Generates a style guide from the existing text
   • New chapters maintain consistency with imported content

Workflow 4: Style Imitation

1. Analyze reference text:

   inkos style analyze reference_text.txt
   

   • Examines vocabulary, sentence structure, tone, pacing

2. Import style to your book:

   inkos style import reference_text.txt book-id --name "Author Name"
   

   • All future chapters adopt this style profile
   • Style rules become part of the Reviser's audit criteria

Workflow 5: Spinoff/Prequel Writing

1. Import parent canon:

   inkos import canon spinoff-book-id --from parent-book-id
   

   • Creates links to parent book's world state, characters, and events
   • Reviser enforces canon consistency

2. Continue spinoff:

   inkos write next spinoff-book-id --count 3 --context "alternate timeline after Chapter 20"
   

Workflow 6: Fine-Grained Control (Draft → Audit → Revise)

If you need separate control over each pipeline stage:

1. Generate draft only:

   inkos draft book-id --words 3000 --context "protagonist escapes" --json
   

2. Audit the chapter (33-dimension quality check):

   inkos audit book-id chapter-1 --json
   

   • Returns metrics across 33 dimensions including pacing, dialogue, world-building, outline adherence, and more

3. Revise with specific mode:

   inkos revise book-id chapter-1 --mode polish --json
   

   • Modes: polish (minor), spot-fix (targeted), rewrite (major), rework (structure), anti-detect (reduce AI traces)

Workflow 7: Monitor Platform Trends

inkos radar scan

• Analyzes trending genres, tropes, and reader preferences
• Informs Architect recommendations for new books

Workflow 8: Detect AI-Generated Content

# Detect AIGC in a specific chapter
inkos detect book-id

# Deep scan all chapters
inkos detect book-id --all

• Uses 11 deterministic rules (zero LLM cost) + optional LLM validation
• Returns detection confidence and problematic passages

Workflow 9: View Analytics

inkos analytics book-id --json
# Shorthand alias
inkos stats book-id --json

• Total chapters, word count, average words per chapter
• Audit pass rate and top issue categories
• Chapters with most issues, status distribution
• Token usage stats: total prompt/completion tokens, avg tokens per chapter, recent trend

Workflow 10: Write an English Novel

# Create an English LitRPG novel (language auto-detected from genre)
inkos book create --title "The Last Delver" --genre litrpg --chapter-words 3000

# Or set language explicitly
inkos book create --title "My Novel" --genre other --lang en

# Set English as default for all projects
inkos config set-global --lang en

• 10 English genres: litrpg, progression, isekai, cultivation, system-apocalypse, dungeon-core, romantasy, sci-fi, tower-climber, cozy
• Each genre has dedicated pacing rules, fatigue word lists (e.g., "delve", "tapestry", "testament"), and audit dimensions
• Use inkos genre list to see all available genres

Workflow 11: Fan Fiction

# Create a fanfic from source material
inkos fanfic init --title "My Fanfic" --from source-novel.txt --mode canon

# Modes: canon (faithful), au (alternate universe), ooc (out of character), cp (ship-focused)
inkos fanfic init --title "What If" --from source.txt --mode au --genre other

• Imports and analyzes source material automatically
• Fanfic-specific audit dimensions and information boundary controls
• Ensures new content stays consistent with source canon (or deliberately diverges in au/ooc modes)

Advanced: Natural Language Agent Mode

For flexible, conversational requests:

inkos agent "写一部都市题材的小说，主角是一个年轻律师，第一章三千字"

• Agent interprets natural language and invokes appropriate commands
• Useful for complex multi-step requests

Input Governance Tools

These tools are the preferred control surface for chapter steering:

• plan_chapter(bookId, guidance?)

  • Generates chapter intent for the next chapter
  • Use before writing when the user wants to change focus

• compose_chapter(bookId, guidance?)

  • Generates runtime context/rule-stack/trace artifacts
  • Use after planning and before writing

• update_author_intent(bookId, content)

  • Rewrites story/author_intent.md
  • Use for long-horizon changes to the book's identity

• update_current_focus(bookId, content)

  • Rewrites story/current_focus.md
  • Use for local steering over the next 1-3 chapters

write_truth_file remains available for broad file edits, but prefer the dedicated control tools above for input-governance changes.

Key Concepts

Book ID Auto-Detection

If your project contains only one book, most commands accept book-id as optional. You can omit it for brevity:

# Explicit
inkos write next book-123 --count 1

# Auto-detected (if only one book exists)
inkos write next --count 1

--json Flag

All content-generating commands support --json for structured output. Essential for programmatic use:

inkos draft book-id --words 3000 --context "guidance" --json

Truth Files (Long-Term Memory)

InkOS maintains 7 files per book for coherence:

• World State: Maps, locations, technology levels, magic systems
• Character Matrix: Names, relationships, arcs, motivations
• Resource Ledger: In-world items, money, power levels
• Chapter Summaries: Events, progression, foreshadowing
• Subplot Board: Active and dormant subplots, hooks
• Emotional Arcs: Character emotional progression
• Pending Hooks: Unresolved cliffhangers and promises to reader

All agents reference these to maintain long-term consistency. Since 0.6.0, truth files are backed by schema-validated JSON in story/state/ with automatic bootstrap from markdown for legacy books. During import chapters, these files are reverse-engineered from existing content via the ChapterAnalyzerAgent.

Multi-Phase Writer Architecture

The Writer operates across multiple phases with specialized agents:

• Planner: Generates chapter intent with structured hook agenda (mustAdvance, eligibleResolve, staleDebt) based on memory retrieval.
• Composer: Selects relevant context from truth files by relevance scoring, compiles rule stack and runtime artifacts.
• Phase 1 (Creative, temp 0.7): Generates prose with length governance, English variance brief (anti-repetition), and dialogue-driven guidance.
• Phase 2a (Observer, temp 0.5): Over-extracts 9 categories of facts from the chapter text.
• Phase 2b (Reflector, temp 0.3): Outputs a JSON delta with hookOps (upsert/mention/resolve/defer), currentStatePatch, and chapterSummary. Code-layer validates via Zod schema and applies immutably.
• Normalizer: Single-pass compress/expand to bring chapter length into the target band. Safety net rejects destructive normalization (>75% content loss).
• Auditor: 33-dimension check including hook health analysis (stale debt, burst detection, no-advance warnings).
• Reviser: Auto-fixes critical issues, self-correction loop until clean.

Truth files use structured JSON (story/state/*.json) as the authoritative source, with markdown projections for human readability. Hook admission control prevents duplicate/family hooks from inflating the hook table.

Context Guidance

The --context parameter provides directional hints to the Writer and Architect:

inkos write next book-id --count 2 --context "protagonist discovers betrayal, must decide whether to trust mentor"

• Context is optional but highly recommended for narrative coherence
• Supports both English and Chinese

Genre Management

View Built-In Genres

inkos genre list
inkos genre show xuanhuan

Create Custom Genre

inkos genre create my-genre --name "My Genre"
# Options: --numerical, --power, --era
inkos genre create dark-xuanhuan --name "Dark Xuanhuan" --numerical --power

Copy Built-in Genre for Customization

inkos genre copy xuanhuan
# Copies to project genres/ directory for editing

Command Reference Summary

Command	Purpose	Notes
inkos init [name]	Initialize project	One-time setup
inkos book create	Create new book	Returns book-id. --brief <file>, --lang en/zh, --genre litrpg/progression/...
inkos book list	List all books	Shows IDs, statuses
inkos write next	Full pipeline (draft→audit→revise)	Primary workflow command
inkos draft	Generate draft only	No auditing/revision
inkos audit	33-dimension quality check	Standalone evaluation
inkos revise	Revise chapter	Modes: polish/spot-fix/rewrite/rework/anti-detect
inkos agent	Natural language interface	Flexible requests
inkos style analyze	Analyze reference text	Extracts style profile
inkos style import	Apply style to book	Makes style permanent
inkos import canon	Link spinoff to parent	For prequels/sequels
inkos import chapters	Import existing chapters	Reverse-engineers truth files for continuation
inkos detect	AIGC detection	Flags AI-generated passages
inkos export	Export finished book	Formats: txt, md, epub
inkos analytics / inkos stats	View book statistics	Word count, audit rates, token usage
inkos radar scan	Platform trend analysis	Informs new book ideas
inkos config set-global	Configure LLM provider	OpenAI/Anthropic/custom (any OpenAI-compatible)
inkos config set-model <agent> <model>	Set model override for a specific agent	--provider, --base-url, --api-key-env for multi-provider routing
inkos config show-models	Show current model routing	View per-agent model assignments
inkos doctor	Diagnose issues	Check installation
inkos update	Update to latest version	Self-update
inkos up/down	Daemon mode	Background processing. Logs to inkos.log (JSON Lines). -q for quiet mode
inkos review list/approve-all	Manage chapter approvals	Quality gate
inkos fanfic init	Create fanfic from source material	--from <file>, --mode canon/au/ooc/cp
inkos genre list	List all available genres	Shows English and Chinese genres with default language
inkos genre create <id>	Create custom genre profile	--name, --numerical, --power, --era
inkos genre copy <id>	Copy built-in genre to project	For customization
inkos write rewrite <book> <ch>	Rewrite a specific chapter	Deletes chapter and later, rewrites from that point
inkos book update [book-id]	Update book settings	--chapter-words, --target-chapters, --status, --lang
inkos book delete <book-id>	Delete book and all chapters	--force to skip confirmation
inkos plan chapter [book-id]	Generate chapter intent	Preview what next chapter will do before writing
inkos compose chapter [book-id]	Generate runtime artifacts	Context, rule-stack, trace for next chapter
inkos consolidate [book-id]	Consolidate chapter summaries	Reduces context for long books (volume-level summaries)
inkos eval [book-id]	Quality evaluation report	--json, --chapters <range>. Composite quality score
inkos studio	Start web workbench	-p for port. Local web UI for book management
inkos fanfic show [book-id]	Display parsed fanfic canon	Shows imported source material analysis
inkos fanfic refresh [book-id]	Re-import and regenerate fanfic canon	--from <file> for updated source material

Error Handling

Common Issues

"book-id not found"

• Verify the ID with inkos book list
• Ensure you're in the correct project directory

"Provider not configured"

• Run inkos config set-global with valid credentials
• Check API key and base URL with inkos doctor

"Context invalid"

• Ensure --context is a string (wrap in quotes if multi-word)
• Context can be in English or Chinese

"Audit failed"

• Check chapter for encoding issues
• Ensure chapter-words matches actual word count
• Try inkos revise with --mode rewrite

"Book already has chapters" (import)

• Use --resume-from <n> to append to existing chapters
• Or delete existing chapters first

Running Daemon Mode

For long-running operations:

# Start background daemon
inkos up

# Stop daemon
inkos down

# Daemon auto-processes queued chapters

Tips for Best Results

1. Provide rich context: The more guidance in --context, the more coherent the narrative
2. Start with style: If imitating an author, run inkos style import before generation
3. Import first: For existing novels, use inkos import chapters to bootstrap truth files before continuing
4. Review regularly: Use inkos review to catch issues early
5. Monitor audits: Check inkos audit metrics to understand quality bottlenecks
6. Use spinoffs strategically: Import canon before writing prequels/sequels
7. Batch generation: Generate multiple chapters together (better continuity)
8. Check analytics: Use inkos analytics to track quality trends over time
9. Export frequently: Keep backups with inkos export

Support & Resources

• Homepage: https://github.com/Narcooo/inkos
• Configuration: Stored in project root after inkos init
• Truth files: Located in books/<id>/story/ per book, with structured JSON in story/state/
• Logs: Check output of inkos doctor for troubleshooting