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 autohandai/community-skills --skill building-phishing-reporting-button-workflowgit clone --depth 1 https://github.com/autohandai/community-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/autohandai/community-skills/building-phishing-reporting-button-workflow)<a href="https://agentmods.dev/skills/autohandai/community-skills/building-phishing-reporting-button-workflow"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-phishing-reporting-button-workflow/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/autohandai/community-skills/building-phishing-reporting-button-workflow"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-phishing-reporting-button-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.00789 |
| Opus 5 | $0.00017 | $0.00394 |
| Sonnet 5 | $0.00007 | $0.00158 |
| Haiku 4.5 | $0.00003 | $0.00079 |
Grade A, and why
building-phishing-reporting-button-workflow 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 8d 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.
This is a copy
89% identical to building-phishing-reporting-button-workflow — 36 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Phishing Reporting Button Workflow
Overview
A phishing reporting button empowers users to flag suspicious emails directly from their email client, creating a critical feedback loop between end users and the security operations center. Microsoft's built-in Report button is now the recommended approach, replacing the deprecated Report Message and Report Phishing add-ins. When combined with automated triage using SOAR platforms, reported emails can be classified, IOCs extracted, and remediation actions taken within minutes. Organizations with effective phishing reporting programs see 70%+ report rates in phishing simulations.
Prerequisites
- Microsoft 365 or Google Workspace with administrative access
- SOAR platform or automation capability (Microsoft Sentinel, Splunk SOAR, Cortex XSOAR)
- Dedicated reporting mailbox for phishing submissions
- Email security gateway with message retraction capability
- Security awareness training platform for feedback loop
Implementation Steps
Step 1: Deploy Phishing Report Button
- Enable Microsoft built-in Report button via Security & Compliance Center
- Configure user reported settings: route to reporting mailbox and Microsoft
- For third-party: deploy KnowBe4 Phish Alert Button or Cofense Reporter
- Verify button appears in Outlook desktop, web, and mobile clients
- Configure report options: Report Phishing, Report Junk, Report Not Junk
Step 2: Build Automated Triage Pipeline
- Configure reporting mailbox monitored by SOAR platform
- Auto-extract IOCs from reported emails: URLs, attachments, sender info, headers
- Submit URLs to VirusTotal, URLScan.io for reputation check
- Submit attachments to sandbox for dynamic analysis
- Check sender against known threat intelligence feeds
- Auto-classify: confirmed phishing, spam, simulation, legitimate
Step 3: Implement Response Actions
- Confirmed phishing: auto-retract from all inboxes, block sender domain
- Confirmed spam: move to junk for all recipients
- Simulation email: mark as correctly reported, credit user
- Legitimate email: return to inbox, notify reporter
- Generate IOC report for threat intelligence team
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 75 lines · 35 tokens per session scan A a55b203b4d71
building-phishing-reporting-button-workflow is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 789 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to building-phishing-reporting-button-workflow, differing in 36 lines, and is treated as a copy.
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