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Proofpoint

Organization
Servosity
proofpoint

Every TAP Threat Insight endpoint, plus a local threat store that answers the cross-endpoint questions - who is both attacked and clicking, what touched this user - inside Proofpoint's punishing daily quotas. Trigger phrases: `pull proofpoint siem events`, `who are my VAPs`, `decode this urldefense link`, `proofpoint incident brief`, `top clickers this month`, `use proofpoint`, `run proofpoint-cli`.

Overview

PublisherServosity
Repositorymsp-skills
Skill nameproofpoint
Stars
68
Forks
14
Bundled files
114
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 114 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Servosity on GitHub. Read the source before you install it.

Installation

Install the Proofpoint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Servosity/msp-skills/tree/main/skills/proofpoint
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Servosity/msp-skills.git /tmp/msp-skills
mkdir -p .claude/skills
cp -r /tmp/msp-skills/skills/proofpoint .claude/skills/proofpoint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Proofpoint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Proofpoint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Proofpoint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Proofpoint TAP - Claude Code Skill

Prerequisites: Install the CLI

This skill drives the proofpoint-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. macOS / Linux:
    bash
    bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/proofpoint/install.sh)
  2. Windows (PowerShell):
    powershell
    iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/proofpoint/install.ps1 | iex
  3. Verify: proofpoint-cli --version
  4. Ensure ~/.local/bin (macOS / Linux) or %LOCALAPPDATA%\Programs\msp-skills (Windows) is on $PATH.

The installer downloads the proofpoint-cli and proofpoint-mcp binaries into ~/.local/bin (macOS / Linux) or %LOCALAPPDATA%\Programs\msp-skills (Windows). It does not register the skill with your agent and writes no MCP client config - see mcp-install.md for that wire-up.

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

Existing TAP tools are thin per-endpoint wrappers or one-way SIEM shovels. This CLI syncs clicks, messages, campaigns, VAPs, and clickers into SQLite, then answers joined questions locally - incident briefs, flat IOC tables, risk overlaps, per-user timelines - without re-spending the 1800-per-day SIEM quota or the 50-per-day campaign-ids quota.

When to Use This CLI

Use this CLI when an agent needs Proofpoint TAP threat data: pulling SIEM click/message events, identifying Very Attacked People and top clickers, investigating a threatId or campaign, extracting IOCs for blocking, or decoding urldefense-rewritten links. It shines when questions repeat or cross endpoints - the local store answers joins and re-queries without burning daily API quota.

Anti-triggers

Do not use this CLI for:

  • Do not use this CLI for Proofpoint Essentials administration (orgs, users, licensing) - that is a different API with different credentials
  • Do not use this CLI to stream PoD message logs - the PoD Log API is a WebSocket service not covered here
  • Do not use this CLI to release or manage quarantined messages - quarantine actions live in the PPS admin interface, not the TAP API
  • Do not use this CLI to send or simulate phishing tests - TAP is read-only threat intelligence

Unique Capabilities

These capabilities aren't available in any other tool for this API.

Quota-aware threat ops

  • backfill - Reconstruct up to 7 days of SIEM threat events in one command - the CLI auto-loops the API's mandatory 1-hour windows and persists every page locally.

    Reach for this when an agent needs more than the last hour of click/message events; single API calls cannot exceed a 1-hour window.

    bash
    proofpoint-cli backfill --since 48h --agent
  • campaign-threats - Expand one campaign into the threats inside it, enriched with severity and family from the local threat store.

    Use this to pivot from a campaign to its member threats when quota is tight - campaign detail is the one unlimited TAP endpoint.

    bash
    proofpoint-cli campaign-threats "campaign-xyz789" --agent

Incident response

  • incident - Turn a threatId into a single incident brief: severity, actors, malware, techniques, forensic evidence, and every local event that touched it.

    Use this for alert triage when you have a threatId and need the full picture in one shot instead of three separate calls.

    bash
    proofpoint-cli incident "threat-abc123" --agent
  • iocs - Flatten TAP's nested forensic evidence tree into a paste-ready indicator table: hashes, URLs, domains, IPs, files, registry keys, processes.

    Use this when the goal is indicators for blocking or hunting, not a narrative brief - output pipes straight into an EDR or blocklist.

    bash
    proofpoint-cli iocs --threat-id "threat-abc123" --csv

People risk

  • risk-overlap - List the people who are both Very Attacked AND top clickers - attack index beside click count - your highest-risk humans.

    The single best list for security-awareness targeting: highly attacked people who also click.

    bash
    proofpoint-cli risk-overlap --window 30 --agent
  • user - Everything the local store knows about one person: clicks, threat messages, VAP status, and clicker status in one view.

    Use this during investigations to answer 'show me every event touching this user' without burning SIEM quota on re-queries.

    bash
    proofpoint-cli user "jane.doe@example.com" --agent

Command Reference

campaign - Campaign intelligence (actors, malware, families, techniques)

  • proofpoint-cli campaign get - Get campaign detail (actors, malware, techniques, members)
  • proofpoint-cli campaign list-ids - Heavily rate limited (50 requests per rolling 24 hours). Prefer the local synced store for repeated queries.

forensics - Forensic evidence (IOCs) for threats and campaigns

  • proofpoint-cli forensics - Provide exactly one of threatId or campaignId.

people - Very Attacked People and top clickers

  • proofpoint-cli people list-top-clickers - List users who clicked the most malicious links in a window
  • proofpoint-cli people list-vap - List Very Attacked People (highest attack index) for a window

siem - Time-windowed threat event feeds (clicks and messages)

  • proofpoint-cli siem list-all-events - Fetch all click and message threat events in the window
  • proofpoint-cli siem list-clicks-blocked - Fetch clicks to malicious URLs that were blocked in the window
  • proofpoint-cli siem list-clicks-permitted - Fetch clicks to malicious URLs that were permitted in the window
  • proofpoint-cli siem list-issues - Events for clicks to malicious URLs permitted and messages delivered containing a known threat within the window - the
  • proofpoint-cli siem list-messages-blocked - Fetch blocked messages that contained a known threat
  • proofpoint-cli siem list-messages-delivered - Fetch delivered messages that contained a known threat

threat - Per-threat summaries

  • proofpoint-cli threat <threatId> - Get a threat summary (severity, spread, actors, malware, techniques)

url - Decode TAP-rewritten (urldefense) URLs

  • proofpoint-cli url - Decode TAP-rewritten (urldefense) URLs to their original targets

Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
proofpoint-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match - fall back to --help or use a narrower query.

Recipes

Morning triage: what got through overnight

bash
proofpoint-cli backfill --since 12h

Backfill loops the 1-hour windows for you; afterwards search and user answer questions offline.

One-shot incident brief from an alert

bash
proofpoint-cli incident "threat-abc123" --agent --select summary.severity,summary.malware,iocs

Severity, attribution, and evidence for a threatId in a single agent-shaped payload.

Blocklist-ready indicators for a campaign

bash
proofpoint-cli iocs --campaign-id "campaign-xyz789" --csv

Flat CSV of hashes, URLs, and IPs ready for an EDR import.

Awareness-training cohort

bash
proofpoint-cli risk-overlap --window 90 --csv

The people who are both heavily attacked and clicking, with both metrics side by side.

Decode a batch of urldefense links

bash
proofpoint-cli url --urls "https://urldefense.com/v3/__https://example.com__;!!abc" --agent --select urls.decodedUrl,urls.success

Returns the real target URLs; works even without credentials.

Auth Setup

TAP uses HTTP Basic auth with a service principal and secret. In the TAP Dashboard go to Settings, then Connected Applications, and create a new credential pair. Export PROOFPOINT_SERVICE_PRINCIPAL and PROOFPOINT_API_SECRET in your shell. The url decode command works without credentials; everything else requires them.

Run proofpoint-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

  • Pipeable - JSON on stdout, errors on stderr

  • Filterable - --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    proofpoint-cli campaign get <id> --agent --select id,name,status
  • Previewable - --dry-run shows the request without sending

  • Offline-friendly - sync/search commands can use the local SQLite store when available

  • Non-interactive - never prompts, every input is a flag

  • Explicit retries - use --idempotent only when an already-existing create should count as success

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set - piped/agent consumers and explicit-format runs get pure JSON on stdout.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

proofpoint-cli feedback "the --since flag is inclusive but docs say exclusive"
proofpoint-cli feedback --stdin < notes.txt
proofpoint-cli feedback list --json --limit 10

Entries are stored locally at ~/.local/share/proofpoint-cli/feedback.jsonl. They are never POSTed unless PROOFPOINT_FEEDBACK_ENDPOINT is set AND either --send is passed or PROOFPOINT_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled agent calls the same command every run with the same configuration - HeyGen's "Beacon" pattern.

proofpoint-cli profile save briefing --json
proofpoint-cli --profile briefing campaign get <id>
proofpoint-cli profile list --json
proofpoint-cli profile show briefing
proofpoint-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
4Authentication required
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show proofpoint-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

  1. Install the MCP binary (run the install script from the Prerequisites section, or see mcp-install.md for per-agent wire-up).
  2. Register with Claude Code:
    bash
    claude mcp add proofpoint-mcp -- proofpoint-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which proofpoint-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    proofpoint-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: proofpoint-cli <command> --help.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 54 more files.

Frequently asked questions

What does the Proofpoint AI skill do?

Every TAP Threat Insight endpoint, plus a local threat store that answers the cross-endpoint questions - who is both attacked and clicking, what touched this user - inside Proofpoint's punishing daily quotas. Trigger phrases: `pull proofpoint siem events`, `who are my VAPs`, `decode this urldefense link`, `proofpoint incident brief`, `top clickers this month`, `use proofpoint`, `run proofpoint-cli`.

Why use Proofpoint on TypingMind?

Because you install it once and use it with any model. Proofpoint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Proofpoint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Servosity/msp-skills/tree/main/skills/proofpoint. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Proofpoint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Proofpoint?

As many as you like. As long as a model supports skills, you can use Proofpoint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Proofpoint AI skill free?

Yes. It is published on GitHub by Servosity under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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