Borrowing it
Nothing to install: this file belongs to kytmanov/synto. 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/kytmanov/synto/master/CLAUDE.mdgit clone --depth 1 https://github.com/kytmanov/syntoWrote 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/kytmanov/synto/claude-md)<a href="https://agentmods.dev/instructions/kytmanov/synto/claude-md"><img src="https://agentmods.dev/badge/instructions/kytmanov/synto/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/kytmanov/synto/claude-md"><img src="https://agentmods.dev/badge/instructions/kytmanov/synto/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01388 | $0.01388 |
| Opus 5 | $0.00694 | $0.00694 |
| Sonnet 5 | $0.00278 | $0.00278 |
| Haiku 4.5 | $0.00139 | $0.00139 |
Grade A, and why
synto CLAUDE.md scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Commands
# Install (editable, auto-detects uv/pip)
python install.py
# Dependencies
uv sync --group dev
# Tests (all offline, no Ollama required)
uv run pytest
uv run pytest tests/test_ingest.py::test_function_name -v # single test
uv run pytest --cov=src/synto # with coverage
# Lint & format
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/
uv run ruff format src/ tests/ # auto-fix
# Smoke tests (user preference: run against LM Studio with gemma4:e4b)
# Requires LM Studio server at http://localhost:1234/v1 with gemma4:e4b loaded.
PROVIDER=lm_studio FAST_MODEL=gemma4:e4b HEAVY_MODEL=gemma4:e4b bash scripts/smoke_test.sh
PROVIDER=lm_studio FAST_MODEL=gemma4:e4b HEAVY_MODEL=gemma4:e4b bash scripts/compare_smoke.sh
# If LM Studio rejects the alias, use the exact loaded id it reports, e.g.
# PROVIDER=lm_studio FAST_MODEL=google/gemma-4-e4b HEAVY_MODEL=google/gemma-4-e4b bash scripts/smoke_test.sh
# The main smoke can take 15+ minutes with gemma4:e4b; use a long command timeout.
Architecture
Three-stage local LLM pipeline turning Obsidian raw notes into a synthesized wiki via Ollama.
Data flow: raw/*.md → ingest (fast model → AnalysisResult) → compile (heavy model → SingleArticle drafts) → approve (publish to wiki/)
Vault structure: raw/ (immutable user notes), wiki/ (published articles), wiki/.drafts/, wiki/sources/, wiki/queries/, wiki/synthesis/, .synto/state.db
Query synthesis
synto query --savewrites dated Q&A notes towiki/queries/synto query --synthesizewrites published synthesis articles towiki/synthesis/- synthesis rows are tracked in
wiki_articleswithkind="synthesis",question_hash,synthesis_sources, andsynthesis_source_hashes - duplicate syntheses are keyed by normalized question hash
update_in_placemust respect manual-edit protection by comparing the on-disk body hash with the DBcontent_hash- compare runs must not create or mutate active
wiki/synthesis/content
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.
- 10d ago First seen · 84 lines · 1,388 tokens per session scan A e17c260e992f
synto CLAUDE.md is an instructions file published in the GitHub repository kytmanov/synto (251 stars, last pushed 7d ago), licensed MIT. It adds 1,388 tokens to every session, about $0.0069 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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.
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).
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).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.