What is selectools CLAUDE.md?

Project instructions for Selectools, a Python library for AI assistants with tool calling, retrieval-augmented generation, and multi-agent coordination. It supports several model providers and includes tests, documentation, and type checking.

Use them when changing Selectools code or documentation, running tests, formatting and linting, checking types, reviewing security, or working on model and agent integrations.

They collect the project’s commands, layout, and known pitfalls in one place. This helps an AI assistant work within the library’s development and quality checks.

How johnnichev/selectools configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to johnnichev/selectools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/johnnichev/selectools/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/johnnichev/selectools

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/johnnichev/selectools/claude-md/github.svg)](https://agentmods.dev/instructions/johnnichev/selectools/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/johnnichev/selectools/claude-md"><img src="https://agentmods.dev/badge/instructions/johnnichev/selectools/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/johnnichev/selectools/claude-md"><img src="https://agentmods.dev/badge/instructions/johnnichev/selectools/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,672 This file is loaded in full into every session.

When invoked 1,672 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.01672	$0.01672
Opus 5.5	$0.00669	$0.00669
Sonnet 5.5	$0.00334	$0.00334
Haiku 4.5	$0.00167	$0.00167

Measured 2mo ago against content hash 8dceda451d74, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

selectools 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 2mo 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.

CLAUDE.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Selectools — Agent Instructions

Production-ready Python library for AI agents with tool calling, RAG, and multi-agent orchestration. OpenAI, Azure OpenAI, Anthropic, Gemini, Ollama, LiteLLM (100+ models), RouterProvider. Python 3.9+, src-layout, pytest, MkDocs Material.

Version: src/selectools/__init__.py
PyPI: https://pypi.org/project/selectools/
Docs: https://selectools.dev

See AGENTS.md for commands, boundaries, and condensed landmines. See subdirectory CLAUDE.md files for scoped rules: tests/, src/selectools/, docs/.

Session workflow: At ~40 messages or when context feels heavy: update HANDOFF.md with current state, run /clear, start fresh. This outperforms auto-compaction.

Commands

pytest tests/ -x -q                                    # All tests
pytest tests/ -k "not e2e" -x -q                       # Skip E2E
ruff format src/ tests/                                 # Format (replaces Black + isort)
ruff check src/ tests/ --fix                            # Lint + auto-fix (replaces flake8)
mypy src/                                               # Type check
bandit -r src/ -ll -q -c pyproject.toml                 # Security
cp CHANGELOG.md docs/CHANGELOG.md && mkdocs build       # Docs

Stability Markers

Apply to every public class/function in __init__.py exports:

Marker	When
`@stable`	Core APIs, at least one release proven
`@beta`	First release, experimental
`@deprecated(since="0.X", replacement="Y")`	Removing/renaming. Keep 2 minor versions

StepType Reference (27 types)

llm_call, tool_selection, tool_execution, cache_hit, error, structured_retry, guardrail, coherence_check, output_screening, session_load, session_save, memory_summarize, entity_extraction, kg_extraction, budget_exceeded, cancelled, prompt_compressed, graph_node_start, graph_node_end, graph_routing, graph_checkpoint, graph_interrupt, graph_resume, graph_parallel_start, graph_parallel_end, graph_stall, graph_loop_detected

Read the full file on GitHub · 73 lines

Changes

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.

2mo ago First seen · 73 lines · 1,672 tokens per session scan A 8dceda451d74

Subscribe to this mod's changes

selectools CLAUDE.md is an instructions file published in the GitHub repository johnnichev/selectools (11 stars, last pushed 4d ago), licensed Apache-2.0. It adds 1,672 tokens to every session, about $0.0067 per session on Opus 5.5. 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.

AI Safety Building agents Guardrails ai-agents anthropic enterprise-ai gemini

selectools CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
selectools CLAUDE.mdjohnnichev/selectools	Instructions file	11	4d ago	Apache-2.0	A	1,672	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

selectools: Instructions file for Claude Code