browse-emails-to-find-opportunites — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited browse-emails-to-find-opportunites (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
TrueProfit is a Shopify profit analytics SaaS/app. It helps Shopify merchants understand real profit by tracking revenue, COGS, shipping, ad spend, transaction fees, discounts, refunds, taxes, and other ecommerce costs.
TrueProfit is not:
TrueProfit can discuss:
Only prioritize PR/source opportunities when they clearly match TrueProfit’s expertise.
Retail pricing strategy and pricing psychology are also strong candidates when the actual request explicitly concerns profit/margin or cost tradeoffs, even if it does not say Shopify or ecommerce. For example, a retailer pricing just below $10/$20 thresholds despite sacrificing profit is worth surfacing.
AI opportunities are only relevant if the angle is about:
When pitching AI topics, never position TrueProfit as an AI/model company. Position it as:
A Shopify profit analytics app that helps merchants connect store/profit data to LLMs like Claude and ChatGPT via MCP. TrueProfit does not build foundation models, but can share experience from merchants using AI on top of ecommerce financial data.
Skip or deprioritize opportunities that ask for:
A request like:
is close topically but should be skipped if it specifically requires a CPA, because TrueProfit is a SaaS app and does not have CPA credentials.
A request like:
is only maybe relevant if framed narrowly around merchants using AI with Shopify/profit data via MCP. Otherwise treat as not a clean fit.
TrueProfit has two potential expert sources to pitch as the quote-giver:
For every High-fit or Maybe-fit opportunity, always note which source is the better fit — Harry, Lila, or both — instead of defaulting to Harry only.
For each batch of HARO/Qwoted/MentionMatch emails, summarize:
Do not over-recommend borderline opportunities. Require a direct profit, margin, cost-tracking or specific Shopify merchant-operations angle in the actual request; do not invent an indirect profit angle for generic channel, AI-checkout or founder-story topics. When unsure, default to Skip rather than Maybe. Sales-pipeline and CRM-software listicles are Skip; commerce tools tied to payments, fees, reporting or profitability can still qualify.
When the user asks to draft, write, refine, or prepare a response email for any opportunity found by this skill, also use the generate-reponse-emails-to-reporters skill.
Carry forward the opportunity context from the email scan:
For TrueProfit AI/SMB/productivity opportunities, instruct the response skill to use the TrueProfit MCP angle: Shopify merchants connect store and profit data to LLMs like ChatGPT or Codex, then use AI for financial analysis, dashboards, product and campaign decisions, margin investigation, and hidden-cost analysis. Prefer a short paragraph plus bullets for example questions instead of a dense plain-text paragraph.
TrueProfit is a Shopify profit analytics app that lets merchants connect store/profit data to LLMs like Claude and ChatGPT via MCP. We do not build foundation models, but we see how merchants use AI on top of ecommerce financial data and where reliability issues appear in real workflows. In ecommerce analytics, the biggest reliability issue is not only hallucinated text; it is whether the model has complete, current, structured business data such as orders, refunds, ad spend, shipping costs, COGS, transaction fees, discounts, and taxes. Without those inputs, an AI assistant can give confident but misleading recommendations.
Shipping cost increases hurt ecommerce brands twice: first through direct margin compression, and second through behavioral changes such as higher cart abandonment when merchants pass costs to customers. The mistake many merchants make is looking only at revenue or ROAS. A shipping increase can turn a high-revenue product, region, or campaign unprofitable unless merchants track profit at the order, product, and channel level.
Faster checkout improves conversion, but the real metric ecommerce teams should watch is profitable conversion. Reducing checkout friction can lift order volume, but merchants still need to understand payment fees, shipping costs, discounts, refunds, and product-level COGS to know whether those extra conversions are actually profitable.
The user uses Gmail MCP to search/read emails from:
When asked to scan emails:
is:unread after:YYYY/M/D before:YYYY/M/D -in:spam -in:trash plus each source filter; use an exclusive end date that covers the requested final day.UNREAD from only the message IDs actually opened/evaluated, including skipped opportunities. Do not clear unseen messages that merely appeared in search, or other unread replies in the same thread. Re-search to verify; use the working Gmail connector if another mark-read method fails.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.