Borrowing it
Nothing to install: this file belongs to penta2himajin/noveletary. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/penta2himajin/noveletary/main/AGENTS.mdgit clone --depth 1 https://github.com/penta2himajin/noveletaryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/penta2himajin/noveletary/agents-md)<a href="https://agentmods.dev/instructions/penta2himajin/noveletary/agents-md"><img src="https://agentmods.dev/badge/instructions/penta2himajin/noveletary/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02284 | $0.02284 |
| Opus 5 | $0.01142 | $0.01142 |
| Sonnet 5 | $0.00457 | $0.00457 |
| Haiku 4.5 | $0.00228 | $0.00228 |
Grade A, and why
noveletary AGENTS.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
first extraction by `kwja_extract.ensure_kwja_cache` (certifi → curl fallback), which works How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
noveletary
Overview
noveletary (novel + secretary) is a constraint-maintained narrative knowledge base and MCP server for checking the internal consistency of fiction, with first-class support for Japanese prose. It unifies construction (adding/updating/deleting story facts) and verification (contradiction checking) into a single constraint engine: hard, decidable contradictions (a dead character acting, a monotone ledger decreasing, a temporal cycle) gate writes at construction time; softer semantic contradictions surface as questions for the author. Story branches (parallel plot drafts) are first-class via an append-only operation log; each branch is audited independently and merged with structural conflict detection.
The design principle throughout: the knowledge base and the author are the trusted core; the LLM is a fallible translator with no authority. Unresolved questions go to the author (the ground-truth oracle), not to LLM guesswork.
Project Structure
src/noveletary/
engine.py # constraint engine: delegates hard checks to the template executor; affected-subgraph; alias resolution
constraints.py # EC-grounded constraint template executor (forbid_after_state/monotone/acyclic/release) — rules as data
store.py # operation log + branches + persistence (SQLite) + gated add / import / audit / merge / questions / constraints
server.py # MCP server (FastMCP, stdio) exposing the store as tools
kwja_extract.py # KWJA PAS adapter -> generic predicate-argument records (zero-anaphora-resolved); records_to_facts
extract.py # GiNZA fallback producing the same generic record schema (degraded: no modality/zero-anaphora)
reconcile.py # generic reconcile (subject,predicate axis) of LLM self-report vs mechanism records
tests/ # pytest suite; core tests run without NLP extras
docs/ # engineering docs (English): handoff protocol, i18n policy
data/ # SQLite op-log (data/narrative.db) — generated on first run, NOT committed (only data/.gitkeep tracked)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 145 lines · 2,284 tokens per session scan A 679c442dea6c
noveletary AGENTS.md is an instructions file published in the GitHub repository penta2himajin/noveletary (0 stars, last pushed 2mo ago), licensed MIT. It adds 2,284 tokens to every session, about $0.0114 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.