claude-ecom: Instructions file for Claude Code

CLAUDE.md

claude-ecom CLAUDE.md is an instructions file for Claude Code from takechanman1228/claude-ecom. It costs 684 tokens per session, scanned A, original, MIT.

Project instructions for an ecommerce analytics toolkit that reviews online-store data. Python calculates fixed metrics and scores, while an AI assistant explains the results in a human-readable report.

In plain words
What is it for?
Use it to load order data, calculate key performance indicators, evaluate checks, create structured review files, and generate narrative reports for different time periods.
Why use it?
It keeps numerical analysis separate from written interpretation, making reports easier to verify and understand.

Instructions file for Claude Code

Written for Claude Code: SessionStart hook event. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is takechanman1228/claude-ecom's own configuration. It tells Claude Code how to work on claude-ecom 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 claude-ecom configures →

Reuse

Borrowing it

Nothing to install: this file belongs to takechanman1228/claude-ecom. 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/takechanman1228/claude-ecom/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/takechanman1228/claude-ecom

Made for: Claude Code.

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README.md
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Per session 684 This file is loaded in full into every session.
When invoked 684 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 $0.00684 $0.00684
Opus 5 $0.00342 $0.00342
Sonnet 5 $0.00137 $0.00137
Haiku 4.5 $0.00068 $0.00068

Measured 9d ago against content hash 5193410b6403, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

claude-ecom 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 9d 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 · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Project: claude-ecom

Ecommerce data analytics toolkit -- review and improve online stores.

Architecture: Hybrid (Python Compute + LLM Interpretation)

Order CSV Data
    |
    v
Python CLI (ecom review)    <-- Deterministic: KPI calc, scoring, check evaluation
    |
    v
review.json / review_{period}.json   <-- Machine-readable structured data
    |
    v
Claude (SKILL.md)           <-- LLM: reads review.json + reference files, generates
    |                            natural language report with business interpretation
    v
REVIEW.md / REVIEW_{PERIOD}.md       <-- Human-readable: narrative insights, not just numbers

Key principle: Python computes the numbers. Claude interprets them.

Structure

claude_ecom/          # Python package (pip install -e .)
  cli.py              # Click CLI: ecom review | validate
  loader.py           # CSV/Parquet data loading
  checks.py           # Check result types, impact estimation, action builders
  report.py           # Report generation (generate_review_json)
  review_engine.py    # Unified period-based review builder (30d/90d/365d)
  periods.py          # Trailing window + data coverage utilities
  scoring.py          # Health scoring, top issues, action candidates
skills/ecom/          # Claude Code skill (SKILL.md + references/)
  SKILL.md            # LLM instructions (<500 lines; details live in references/)
  references/         # 9 reference files loaded on-demand for interpretation
.claude-plugin/       # Plugin + marketplace manifests (plugin.json is the version source)
bin/ecom              # Self-bootstrapping launcher (venv in ~/.local/share/claude-ecom/)
hooks/hooks.json      # SessionStart hook -> bin/ecom --bootstrap-only
tests/                # pytest test suite

Distribution

Plugin-first: installed via /plugin install claude-ecom@claude-ecom. Validate with claude plugin validate . --strict; test live with claude --plugin-dir .. SKILL.md body must avoid $ immediately followed by a digit (positional-argument substitution).

Read the full file on GitHub · 74 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. 9d ago First seen · 74 lines · 684 tokens per session scan A 5193410b6403

Subscribe to this mod's changes

claude-ecom CLAUDE.md is an instructions file published in the GitHub repository takechanman1228/claude-ecom (49 stars, last pushed 2mo ago), licensed MIT. It adds 684 tokens to every session, about $0.0034 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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