The header, link, and attachment checks used to classify a reported email's risk and recommend an action.
beeuni marketplace install beeuni-starter:phishing-indicators-skill{{report_query}} for messages
reported since the last check. Read each one in full, including the original
message it wraps if it was forwarded — the reported wrapper email itself is
rarely the attack; the forwarded original is.| Check | What to look for |
|---|---|
| SPF / DKIM / DMARC | Any result other than a clean pass on all three is a signal, not proof by itself |
| Reply-To vs. From | A Reply-To that doesn't match the From domain, especially to a free-mail or lookalike domain |
| Return-Path | A Return-Path domain unrelated to the claimed sender |
| Display name vs. address | A trusted display name ("IT Helpdesk") paired with an unrelated or misspelled address |
| Routing headers | Received chain hopping through unexpected countries or unrelated infrastructure for an internal-looking sender |
microsoft.com can point anywhere..pdf that's actually an executable or a macro-enabled
document is a strong signal.| Tier | Criteria |
|---|---|
| Critical | Credential-harvesting link or malicious attachment, spoofed authentication, actively impersonating an internal system or executive |
| High | Clear lookalike domain or header spoofing plus a suspicious link or attachment, but not yet confirmed credential harvesting |
| Medium | One or two suspicious indicators (e.g. authentication soft-fail plus an unusual link) without a clear malicious payload |
| Low | Minor anomalies (e.g. a marketing email with an aggressive tone) that don't indicate targeted attack |
| Benign | Clean authentication, legitimate sender and links, no attachment concerns — a false report |
Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with enrichment and CRM data.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Route code, repository, and data/SQL work to isolated Beeuni sessions instead of burning your main context on it. Use when asked to implement a feature, fix a bug, make failing tests pass, work a ticket/issue, refactor, navigate or change a codebase, ship a PR, review a pull request, or run SQL/warehouse analysis against a dataset — and when the user wants two agents or parallel reviewers/investigators on the same work. Covers the explore-vs-session routing call, deciding where the code lives (this project's repo vs cloning an external GitHub repo) or where the data lives, finding the repo with gh, spawning sessions in parallel, dual PR reviews, and reporting results back. Triggers: 'implement', 'fix the bug', 'make the tests pass', 'work this ticket', 'refactor this', 'open a PR', 'review this PR', 'run two agents on it', 'query the warehouse', 'analyze this dataset'.
Convert Word (.doc, .docx), PowerPoint (.ppt, .pptx), Excel (.xls, .xlsx), OpenDocument (.odt, .ods, .odp), RTF, EPUB, CSV, and PDF files to GitHub-Flavored Markdown. Use when a task needs the contents of an office document, spreadsheet, presentation, ebook, or PDF you cannot read directly.
Deep research agent skill. Use when the user needs thorough, scientific, truth-seeking research on any topic -- investigating claims, finding primary sources, synthesizing evidence, producing cited reports. Triggers on: 'research this', 'investigate', 'deep dive', 'find sources', 'what does the evidence say', 'literature review', 'fact check', 'analyze the research on', any request requiring multi-source investigation with citations.
Artifact-agnostic design guidance — works for CSS, PowerPoint, matplotlib, PDF, or any visual output. Also includes a curated catalog of named font/color themes for slides, docs, and reports (non-web assets).