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-post-purchase-survey-triggergit 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-post-purchase-survey-trigger)<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-post-purchase-survey-trigger"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-post-purchase-survey-trigger/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-post-purchase-survey-trigger"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-post-purchase-survey-trigger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 133 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00041 | $0.01724 |
| Opus 5 | $0.00020 | $0.00862 |
| Sonnet 5 | $0.00008 | $0.00345 |
| Haiku 4.5 | $0.00004 | $0.00172 |
Grade A, and why
shopify-admin-post-purchase-survey-trigger 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 11d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Builds the recipient list for a post-purchase survey campaign by selecting orders that were fulfilled between survey_min_days and survey_max_days ago, are not refunded, not cancelled, and (optionally) belong to customers who consented to marketing. Output is a clean recipient list ready to load into your email or SMS automation. Read-only — no mutations.
Prerequisites
- Authenticated Shopify CLI session:
shopify store auth --store <domain> --scopes read_orders,read_customers,read_fulfillments - API scopes:
read_orders,read_customers,read_fulfillments
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| survey_min_days | integer | no | 7 | Earliest days after fulfillment to survey (give time for delivery + initial use) |
| survey_max_days | integer | no | 14 | Latest days after fulfillment to survey (recall fades after ~2 weeks) |
| marketing_consent_only | bool | no | true | Restrict to customers with marketingState: SUBSCRIBED |
| exclude_repeat_recipients_days | integer | no | 90 | Skip customers who were already on a survey list within this window (caller-tracked) |
| format | string | no | human | Output format: human or json |
Safety
ℹ️ Read-only skill — no mutations are executed. The skill produces a recipient list; the caller is responsible for actually sending the survey via their own email / SMS platform. Honor
marketing_consent_only: truefor promotional surveys to stay compliant with consent rules.
Workflow Steps
-
Compute window:
latest_fulfilled_at = NOW - survey_min_days,earliest_fulfilled_at = NOW - survey_max_days -
OPERATION:
orders— query Inputs:query: "fulfillment_status:fulfilled financial_status:paid -status:cancelled updated_at:>=<earliest_fulfilled_at>",first: 250, selectdisplayFulfillmentStatus,displayFinancialStatus,cancelledAt,fulfillments { createdAt, displayStatus, deliveredAt },refunds { id, createdAt },customer { id, defaultEmailAddress { emailAddress, marketingState }, displayName, locale }, pagination cursor Expected output: All candidate orders; paginate untilhasNextPage: false
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.
- 11d ago First seen · 173 lines · 41 tokens per session scan A f52312c8df35
shopify-admin-post-purchase-survey-trigger is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (185 stars, last pushed 27d ago), licensed MIT. It adds 41 tokens to every session and 1,724 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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