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 skills/markmhendrickson/ateles/extract-amazon-ordernpx skills add markmhendrickson/ateles --skill extract-amazon-ordergit clone --depth 1 https://github.com/markmhendrickson/atelesWrote 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/skills/markmhendrickson/ateles/extract-amazon-order)<a href="https://agentmods.dev/skills/markmhendrickson/ateles/extract-amazon-order"><img src="https://agentmods.dev/badge/skills/markmhendrickson/ateles/extract-amazon-order.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00736 |
| Opus 5 | $0.00000 | $0.00368 |
| Sonnet 5 | $0.00000 | $0.00147 |
| Haiku 4.5 | $0.00000 | $0.00074 |
Grade A, and why
extract-amazon-order 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 4d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extract Amazon Order
Search Gmail for Amazon order emails, extract order details, and store as a purchase in Neotoma first (then Parquet if purchases still use Parquet). Create a snapshot before any Parquet write.
When to Use
Use this skill when:
- User says "extract Amazon order", "get order from email", "record Amazon purchase from Gmail"
- User wants to capture an Amazon order from email (standalone or during email triage)
Required Documents (load first)
- Amazon order extraction: docs/workflow_specifics_rules.mdc (Amazon Order Extraction)
- Storage and snapshot: docs/neotoma_parquet_migration_rules.mdc (Neotoma first; snapshot before Parquet modification when required)
- Purchases schema:
$DATA_DIR/schemas/for purchases if needed (item_name, status, vendor, etc.)
Workflow
- Search Gmail: Use Gmail MCP search (e.g.
search_emails) with query such asfrom:[email protected] OR from:[email protected] subject:"pedido", or by order number/product name as appropriate. - Read message: Use Gmail MCP read (e.g.
read_email) with message ID. Extract: order number, product, amount, order date, delivery date, address, URL. - Store in Neotoma first: Use Neotoma MCP to store purchase entity (entity_type appropriate to schema). Include all extracted fields.
- If purchases still in Parquet: Use
mcp_parquet_add_record(data_type="purchases", record={...}). Map to schema: item_name, status ("completed"/"in_progress"), location, vendor ("Amazon.es"/"Amazon.com"), actual_cost_usd, currency, category, created_date, completed_date, notes (order number, status), import_date, import_source_file ("gmail_email_parsing"). - Snapshot before Parquet write: Create timestamped snapshot
$DATA_DIR/snapshots/purchases-YYYY-MM-DD-HHMMSS.parquetbefore modifying purchases parquet if the workflow requires it per repo rules.
Constraints
- Store in Neotoma first; do not write only to Parquet for user/agent-captured data.
- Create snapshot before modifying purchases parquet when Parquet is used.
- No Amazon consumer API; use email parsing only. Multiple emails per order (confirmation, shipping, delivery) are possible.
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.
- 4d ago First seen · 48 lines · 0 tokens per session scan A 3f28d4923130
extract-amazon-order is a skill published in the GitHub repository markmhendrickson/ateles (6 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 736 tokens. 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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