Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/bwb03/amazon-catalog-cli/claude-mdgit clone --depth 1 https://github.com/BWB03/amazon-catalog-cliWhat 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 | $0.00363 | $0.00363 |
| Opus 5 | $0.00181 | $0.00181 |
| Sonnet 5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
amazon-catalog-cli 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 3d 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.
What it actually says
Catalog CLI Pro
Agent-native Amazon catalog auditing tool. Analyzes Category Listing Reports (CLR files) for quality issues across 13 checks.
Architecture
Three-layer design:
- Core (
catalog/core/) — engine, parser, models, validation, query engine, schema - Surfaces (
catalog/surfaces/) — CLI (cli.py) and MCP server (mcp.py) - Queries (
catalog/queries/) — 13 query plugins, each implementsQueryPlugin.execute(listings, clr_parser) - API (
api/) — FastAPI hosted service (local only, NOT pushed to public GitHub)
Key Patterns
- Pydantic models for all request/response shapes (
core/models.py) - Query plugins are auto-discovered from
catalog/queries/ - CLI uses Click, MCP uses FastMCP (stdio transport)
- Output formats: terminal (Rich), JSON, CSV, NDJSON
- Field masking and pagination supported across all surfaces
Commands
catalog scan my-catalog.xlsx # Full audit
catalog check intent-bullets file.xlsx # Single query
catalog list-queries # Available queries
catalog schema # Schema introspection
catalog mcp # Start MCP server
catalog setup-claude # Configure Claude Code integration
Development
pip install -e ".[api]" # Install with API dependencies
pytest # Run tests
Important
api/directory contains the hosted API service — this is NOT pushed to the public GitHub reposite/directory contains the landing page for catalogcli.com- The package on PyPI is
amazon-catalog-cli
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.
- 3d ago First seen · 45 lines · 363 tokens per session scan A a5b1a21b15d9
amazon-catalog-cli CLAUDE.md is an instructions file published in the GitHub repository BWB03/amazon-catalog-cli (13 stars, last pushed 15d ago), licensed MIT. It adds 363 tokens to every session, about $0.0018 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.
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