貼上一封去識別化的可疑付款或「供應商已變更收款帳號」郵件,幾秒內拿到一頁決策卡:建議處置動作、關鍵理由,以及該做的獨立查證方式。適合財務/應付帳款人員、記帳士/會計師事務所快速判讀可疑郵件。僅接受去識別化/範例郵件,示範用途、非正式判定。
Pre-submission quality gate for AI-generated broadcast scripts. Catches timing errors, sponsor name mistakes, host voice drift, missing stage directions, and unverified facts before they reach production. 8 documented failure patterns. Works for podcasts, YouTube, and live broadcast.
This Skill is built around practical communication design, family-message tone control, AI guardrail writing, uncertainty labeling, and safe redirection for sensitive topics. It focuses on short parent-friendly wording, blame reduction, boundary-setting, fact-check reminders, and avoiding manipulative or overconfident replies.
I built this Skill to help users protect API keys, OAuth tokens and MCP credentials when working with AI agents in Codex Desktop, Claude Desktop and local automation environments. It combines static leak detection, vault preflight checks, runtime redaction, MCP-safe remediation, credential-store guidance and security reporting. The Skill is designed to reduce accidental secret exposure while preserving legitimate MCP and API workflows.
Reconcile POs, receipts, and invoices before payment. Catch duplicate bills, quantity and price mismatches, unauthorized fees, currency issues, and missing evidence with source-linked APPROVE, HOLD, and REVIEW results.
Turn B2B export RFQs into protected quote decisions, price tiers, margin risks, clarifications, and buyer-ready replies.
Runs five integrity checks on every slide before output — one message per slide, title-body alignment, number preservation, source citation for every data point, and design spec compliance — blocking any slide where data has been smoothed, sources are missing, or the title contradicts the body.
This Skill is built on practical expertise in AI agent safety, prompt-injection defense, source-to-sink privacy review, tool and MCP metadata integrity, memory provenance checks, autonomous action scoping, and evidence-based verification. It helps agents separate instructions from evidence before tool calls, uploads, publishing, deletion, code execution, or network output.