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 skills add 40RTY-ai/shopify-admin-skills --skill shopify-admin-chargeback-watchlist-taggergit clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skillsWrote 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/40rty-ai/shopify-admin-skills/shopify-admin-chargeback-watchlist-tagger)<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-chargeback-watchlist-tagger"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-chargeback-watchlist-tagger/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.
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-chargeback-watchlist-tagger"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-chargeback-watchlist-tagger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.01667 |
| Opus 5 | $0.00015 | $0.00834 |
| Sonnet 5 | $0.00006 | $0.00333 |
| Haiku 4.5 | $0.00003 | $0.00167 |
Grade A, and why
shopify-admin-chargeback-watchlist-tagger 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 13d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Scans historical orders for any associated chargeback or dispute, then tags the customer record with chargeback-history (configurable). Future orders from these customers can be filtered or held for manual review by ops. Reduces repeated chargeback losses without blocking customers outright. Defaults to dry_run: true.
Prerequisites
- Authenticated Shopify CLI session:
shopify store auth --store <domain> --scopes read_orders,read_customers,write_customers - API scopes:
read_orders,read_customers,write_customers
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| days_back | integer | no | 730 | Historical window to scan for disputes (2 years default) |
| watchlist_tag | string | no | chargeback-history | Tag applied to flagged customers |
| include_won_disputes | bool | no | false | If false, only tag customers whose disputes were lost or are open |
| dry_run | bool | no | true | Preview without applying tags |
| format | string | no | human | Output format: human or json |
Safety
⚠️
customerUpdatemodifies customer tags that are visible to staff and may drive segmentation rules. Tag a customer incorrectly and you may downgrade their experience or block their orders. Run withdry_run: truefirst and review the list before committing. Won disputes (where the merchant won) are excluded by default to avoid false positives.
Workflow Steps
-
OPERATION:
orders— query Inputs:query: "created_at:>='<NOW - days_back days>' chargeback_status:*"(any chargeback state),first: 250, selectdisputes { id, status, initiatedAs, finalizedOn },customer { id, displayName, tags, defaultEmailAddress { emailAddress } },totalPriceSet, pagination cursor Expected output: All orders that have at least one dispute in the window -
Group disputes by customer. For each customer:
- Skip if every dispute has status
WONandinclude_won_disputes: false - Skip if customer already carries
watchlist_tag - Otherwise add to tagging queue
- Skip if every dispute has status
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.
- 13d ago First seen · 189 lines · 31 tokens per session scan A 07e19a4d9850
shopify-admin-chargeback-watchlist-tagger is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (187 stars, last pushed 29d ago), licensed MIT. It adds 31 tokens to every session and 1,667 once invoked, about $0.0002 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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