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 zpoint/vibe-seller --skill noon-sharedgit clone --depth 1 https://github.com/zpoint/vibe-sellerWrote 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/zpoint/vibe-seller/noon-shared)<a href="https://agentmods.dev/skills/zpoint/vibe-seller/noon-shared"><img src="https://agentmods.dev/badge/skills/zpoint/vibe-seller/noon-shared/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/zpoint/vibe-seller/noon-shared"><img src="https://agentmods.dev/badge/skills/zpoint/vibe-seller/noon-shared.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 83 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.
- medium Excessive Agency · line 113 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 | $0.00077 | $0.02561 |
| Opus 5 | $0.00039 | $0.01281 |
| Sonnet 5 | $0.00015 | $0.00512 |
| Haiku 4.5 | $0.00008 | $0.00256 |
Grade A, and why
noon-shared 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 10d 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 — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Noon — Shared (login, navigation, common patterns)
This skill covers what every noon Seller Center task needs:
authentication, the page-structure URL map, My Catalog read access,
and shared UI patterns (modals, button clicks). Operation-specific
skills (noon-listing, noon-fbn, noon-exports, noon-ads)
load this first.
1. Login — Auto-fetch OTP When Email Is Bound
Noon uses email OTP only (no password). Before doing ANYTHING, decide how the OTP will be retrieved — do NOT bother the user if an email MCP integration can do it for you.
Decision flow (follow in order, do NOT skip steps)
-
Open the login page and look at the email it's about to send OTP to:
browser-use open "https://login.noon.partners/en/" sleep 3 && browser-use state # find the email on the "We've sent..." # screen OR the prefilled channelIdentifierZiniao often auto-fills or remembers a session. The page shows
Log in with OTP sent to <email>. -
Check whether the task prompt includes a "## Email System" section (the runner injects it when the store has connected email accounts). Compare the bound emails to the Noon login email shown on screen:
- Match → fetch the OTP yourself via email MCP (Case A).
- No email system section, OR emails do not match → ask the user (Case B). Never guess — mismatched emails mean a different inbox.
Case A — Auto-fetch OTP via email MCP (preferred)
This works when the bound email address equals the Noon login email. One round trip, no user prompt:
# 1. Trigger immediate IMAP poll (don't wait 5 min for auto-sync):
vibe_seller_sync_email_now(account_email='<bound-email>')
# 2. Get the per-account DB path:
vibe_seller_email_info(store_id='<store-id>')
# Returns: { accounts: [{ email, db_path, ... }] }
Then read the latest Noon OTP email. The body is HTML — the 6-digit
code sits on its own line inside a styled <div>. Extract it with
a regex on body_html (not body_text, which has escaped markup):
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.
- 10d ago First seen · 259 lines · 77 tokens per session scan A f9d3065d3f59
noon-shared is a skill published in the GitHub repository zpoint/vibe-seller (64 stars, last pushed yesterday), licensed Apache-2.0. It adds 77 tokens to every session and 2,561 once invoked, about $0.0004 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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