Namera: Instructions file for Claude Code

CLAUDE.md

Namera CLAUDE.md is an instructions file for Claude Code from solozerolabs/Namera. It costs 2,612 tokens per session, scanned A, original, MIT.

Project instructions for Namera, a command-line tool that checks whether names are available as domain names, trademarks, and other online identities.

In plain words
What is it for?
Use them when developing name generation, availability checks, trademark risk checks, caching, output formats, or the command-line interface.
Why use it?
They explain the project's Python structure, dependencies, build process, and test commands so changes fit the existing codebase.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code; mentions Codex; built for openclaw.

This is solozerolabs/Namera's own configuration. It tells Claude Code how to work on Namera itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Namera configures →

Reuse

Borrowing it

Nothing to install: this file belongs to solozerolabs/Namera. 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/solozerolabs/Namera/master/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/solozerolabs/Namera

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 2,612 This file is loaded in full into every session.
When invoked 2,612 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02612 $0.02612
Opus 5.5 $0.01045 $0.01045
Sonnet 5.5 $0.00522 $0.00522
Haiku 4.5 $0.00261 $0.00261

Measured 2mo ago against content hash ef3053b13e43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Namera 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 · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Namera

CLI tool for checking name availability across domains, trademarks, and more. Designed to be called directly by AI agents (Claude Code, OpenClaw, Codex, etc.).

Tech Stack

  • Python 3.10+, Click (CLI), Rich (output), httpx (HTTP)
  • Build: hatchling, src layout (src/namera/)
  • Tests: pytest + pytest-asyncio

Project Structure

src/namera/
  cli.py             # CLI entry point (Click group, 8 commands)
  context.py         # BusinessContext dataclass, TLD_HINTS, serialization
  session.py         # Interactive Q&A wizard (Rich prompts)
  output.py          # Multi-format rendering (JSON, NDJSON, CSV, Rich tables)
  cache.py           # SQLite result cache (~/.cache/namera/cache.db), per-provider TTLs
  composer.py        # Domain name generation from keywords + prefixes/suffixes
  filters.py         # Trademark risk flagging, available-only filtering
  presets.py         # 20 TLD presets (popular, tech, startup, fintech, geo-*, etc.)
  runner.py          # Async concurrent check runner with semaphore + caching
  retry.py           # Exponential backoff with jitter for transient errors
  theme.py           # Brand colors + availability styling
  telemetry.py       # Non-blocking session logging to Supabase
  providers/
    base.py           # Provider ABC, ProviderResult, ProviderRegistry, CheckType enum
    domain.py         # DNS-based domain availability (socket.gethostbyname)
    rdap.py           # RDAP lookup with cascading fallbacks (RDAP → DNS → WHOIS)
    whois.py          # Raw socket WHOIS (port 43)
    social.py         # Social handle checks (GitHub, Twitter/X, Instagram)
    trademark.py      # Trademark provider hub (imports from trademark_supabase.py)
    trademark_supabase.py  # USPTO trademark lookup via Supabase Edge Function
  scoring/
    models.py         # Signal, ScoringProfile, RankedName dataclasses
    engine.py         # RankingEngine: collect signals → filter → weighted score → sort
    local_signals.py  # Zero-cost string analysis (length, pronounceability, quality)
    normalizers.py    # ProviderResult → Signal conversion for each check type
    profiles.py       # 5 built-in profiles (default, startup-saas, fintech, consumer, developer-tools)

Read the full file on GitHub · 242 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.

  1. 2mo ago First seen · 242 lines · 2,612 tokens per session scan A ef3053b13e43

Subscribe to this mod's changes

Namera CLAUDE.md is an instructions file published in the GitHub repository solozerolabs/Namera (4 stars, last pushed 2mo ago), licensed MIT. It adds 2,612 tokens to every session, about $0.0104 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 2026-08-31.

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