Dd Audit Security Investigation logo

Dd Audit Security Investigation

Organization
datadog-labs
dd-audit-security-investigation

Answer "who did what" security questions from Audit Trail — deletions, config changes, login activity, permission changes, actions from a specific user or IP.

Overview

Publisherdatadog-labs
Repositoryagent-skills
Skill namedd-audit-security-investigation
Stars
172
Forks
28
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by datadog-labs on GitHub. Read the source before you install it.

Installation

Install the Dd Audit Security Investigation 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.
  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/datadog-labs/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/dd-audit/security-investigation .claude/skills/dd-audit-security-investigation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dd Audit Security Investigation 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 Dd Audit Security Investigation 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 Dd Audit Security Investigation 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.

Audit Trail: Security Investigation

Answer common security investigation questions using pup audit-logs.

Prerequisites

bash
pup auth login   # OAuth2 (recommended)
# or set DD_API_KEY + DD_APP_KEY with audit_logs_read scope

Command Execution Order

  1. Clarify the investigation scope: who, what resource type, what time window.
  2. Run the most specific query first; broaden only if results are empty.
  3. If results are large, pipe to jq to group or summarize.
  4. Highlight anomalies: bulk operations, unusual geo, off-hours activity, support user actions.

Common Investigation Queries

Who deleted resources in a time window?

bash
pup audit-logs search --query "@action:deleted" --from 24h -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      actor_type: .attributes.attributes.evt.actor.type,
      resource_type: .attributes.attributes.asset.type,
      resource_id: .attributes.attributes.asset.id,
      country: .attributes.attributes.network.client.geoip.country.name
    }]'

Who modified a specific resource (by ID)?

bash
pup audit-logs search --query "@asset.id:RESOURCE_ID" --from 7d -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      event: .attributes.attributes.evt.name
    }]'

What did a specific user do?

bash
pup audit-logs search --query "@usr.email:user@example.com" --from 7d --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      action: .attributes.attributes.action,
      event: .attributes.attributes.evt.name,
      resource_type: .attributes.attributes.asset.type,
      resource_id: .attributes.attributes.asset.id,
      ip: .attributes.attributes.network.client.ip,
      country: .attributes.attributes.network.client.geoip.country.name
    }]'

Login activity — all logins with geo

bash
pup audit-logs search --query "@evt.name:Authentication @action:login" --from 7d --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      status: .attributes.attributes.status,
      ip: .attributes.attributes.network.client.ip,
      city: .attributes.attributes.network.client.geoip.city.name,
      country: .attributes.attributes.network.client.geoip.country.name,
      asn: .attributes.attributes.network.client.geoip.as.name
    }]'

Failed logins only

bash
pup audit-logs search --query "@evt.name:Authentication @action:login @status:error" --from 7d --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      ip: .attributes.attributes.network.client.ip,
      country: .attributes.attributes.network.client.geoip.country.name
    }]'

Who changed roles or permissions?

bash
pup audit-logs search --query "@evt.name:\"Access Management\"" --from 30d --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type,
      resource_id: .attributes.attributes.asset.id
    }]'

What actions came from a specific IP?

bash
pup audit-logs search --query "@network.client.ip:1.2.3.4" --from 30d --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      actor_type: .attributes.attributes.evt.actor.type,
      action: .attributes.attributes.action,
      event: .attributes.attributes.evt.name,
      resource_type: .attributes.attributes.asset.type
    }]'

Who created or deleted API keys?

bash
pup audit-logs search --query "@evt.name:Authentication @asset.type:api_key" --from 90d --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      key_id: .attributes.attributes.asset.id,
      ip: .attributes.attributes.network.client.ip,
      country: .attributes.attributes.network.client.geoip.country.name
    }]'

Event Category Reference

Category (@evt.name)What it covers
AuthenticationLogins, API key create/delete/modify
Access ManagementRoles, user add/remove, restriction policies
DashboardCreate, modify, delete, share
MonitorCreate, modify, delete, resolve
Log ManagementPipelines, indexes, archives, exclusion filters
IntegrationAdd/modify/delete integrations
MetricsCustom metric create/modify/delete
Organization ManagementChild org creation, org settings
NotebookCreate, modify, delete
APMRetention filters, sampling config
Cloud Security PlatformCWS rules, security signal state changes
Bits AI SREMCP tool calls, AI investigations

Anomaly Flags to Surface

When presenting investigation results, call out:

  • Actor type SUPPORT_USER — Datadog support accessed the org
  • Bulk deletions — same user, same action, many resources in a short window
  • Unexpected geography — country not seen in prior logins for this user
  • Off-hours activity — actions at unusual times for the user's typical timezone
  • First-time ASN — action from a cloud provider or VPN not seen before (@network.client.geoip.as.name)

References

Frequently asked questions

What does the Dd Audit Security Investigation AI skill do?

Answer "who did what" security questions from Audit Trail — deletions, config changes, login activity, permission changes, actions from a specific user or IP.

Why use Dd Audit Security Investigation on TypingMind?

Because you install it once and use it with any model. Dd Audit Security Investigation 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 Dd Audit Security Investigation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datadog-labs/agent-skills/tree/main/dd-audit/security-investigation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dd Audit Security Investigation?

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 Dd Audit Security Investigation?

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

Is the Dd Audit Security Investigation AI skill free?

Yes. It is published on GitHub by datadog-labs under the MIT 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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