Dd Audit Compliance Report logo

Dd Audit Compliance Report

Organization
datadog-labs
dd-audit-compliance-report

Generate auditor-ready compliance evidence from Datadog Audit Trail for SOC 2 and PCI DSS. Maps framework controls to specific query patterns and produces formatted output.

Overview

Publisherdatadog-labs
Repositoryagent-skills
Skill namedd-audit-compliance-report
Stars
172
Forks
28
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Dd Audit Compliance Report 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/compliance-report .claude/skills/dd-audit-compliance-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dd Audit Compliance Report 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 Compliance Report 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 Compliance Report 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: Compliance Evidence Report

Generate auditor-ready evidence from Datadog Audit Trail for SOC 2 and PCI DSS control requirements.

Prerequisites

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

Read First

See references/control-mapping.md for the full control → query mapping table and retention requirements by framework.

Retention Check (Run First)

PCI requires 12 months. Datadog default retention is 90 days. Check whether archive is configured:

bash
pup audit-logs search --query "@evt.name:\"Audit Trail\" @action:modified" --from 90d -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource: .attributes.attributes.asset.type
    }]'

If the requested time window exceeds 90 days and no archive is confirmed, surface this gap in the report header.

Workflow

  1. Confirm: framework (SOC 2 / PCI DSS), time window, org scope
  2. Run retention check
  3. Run each relevant control query
  4. Format output using the Evidence Report template

SOC 2 Queries

CC6.2 — User Provisioning / Deprovisioning

bash
pup audit-logs search \
  --query "@evt.name:\"Access Management\" @asset.type:user @action:(created OR deleted OR modified)" \
  --from PERIOD_START --to PERIOD_END --limit 500 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      affected_user: .attributes.attributes.asset.id
    }]'

CC6.3 — Role and Permission Changes

bash
pup audit-logs search \
  --query "@evt.name:\"Access Management\" @asset.type:role" \
  --from PERIOD_START --to PERIOD_END --limit 500 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      role_id: .attributes.attributes.asset.id
    }]'

CC6.6 — Failed Logins and Suspicious Access

bash
pup audit-logs search \
  --query "@evt.name:Authentication @action:login @status:error" \
  --from PERIOD_START --to PERIOD_END --limit 500 -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
    }]'

CC7.2 — Privileged / Support User Actions

bash
pup audit-logs search \
  --query "@evt.actor.type:SUPPORT_USER" \
  --from PERIOD_START --to PERIOD_END --limit 500 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      support_actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type,
      resource_id: .attributes.attributes.asset.id
    }]'

PCI DSS Queries

PCI 10.2.2 — Actions by Privileged Users

Same as CC7.2 above. Also include org-level admin actions:

bash
pup audit-logs search \
  --query "@evt.name:\"Organization Management\"" \
  --from PERIOD_START --to PERIOD_END --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type
    }]'

PCI 10.2.3 — Access to Audit Trail Itself

bash
pup audit-logs search \
  --query "@evt.name:\"Audit Trail\"" \
  --from PERIOD_START --to PERIOD_END --limit 200 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      actor: .attributes.attributes.usr.email,
      action: .attributes.attributes.action,
      resource_type: .attributes.attributes.asset.type
    }]'

PCI 10.2.4 — Invalid Access Attempts

Same as CC6.6 failed logins above.

PCI 10.2.5 — All Authentication Events

bash
pup audit-logs search \
  --query "@evt.name:Authentication @action:login" \
  --from PERIOD_START --to PERIOD_END --limit 1000 -o json \
  | jq '[.data[] | {
      timestamp: .attributes.timestamp,
      user: .attributes.attributes.usr.email,
      auth_method: .attributes.attributes.auth_method,
      result: .attributes.attributes.status,
      ip: .attributes.attributes.network.client.ip,
      country: .attributes.attributes.network.client.geoip.country.name
    }]'

PCI 10.2.7 — Object Creation and Deletion

bash
pup audit-logs search \
  --query "@action:(created OR deleted)" \
  --from PERIOD_START --to PERIOD_END --limit 1000 -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,
      ip: .attributes.attributes.network.client.ip
    }]'

Evidence Report Template

# Datadog Audit Trail — Compliance Evidence Report
Framework: [SOC 2 / PCI DSS]
Organization: [org name]
Period: [start] to [end]
Generated: [date]

## Scope Boundary
This report covers administrative actions within the Datadog platform.
It does not cover actions taken within systems that Datadog monitors.

## Retention Status
[✓ Full period covered by Audit Trail retention]
[⚠ Requested period exceeds 90-day default. Archive config required for complete coverage.]

---

## [Control ID] — [Control Name]
Events found: [N]

| Timestamp | Actor | Action | Resource Type | Resource ID | IP | Country |
|-----------|-------|--------|---------------|-------------|-----|---------|
| ...       | ...   | ...    | ...           | ...         | ... | ...     |

[Repeat per control]

---

## Gaps
[List any controls where data was unavailable or incomplete, and why]

Scope Caveat

Datadog Audit Trail covers the Datadog platform as the system being audited. For PCI purposes, this is evidence that the monitoring platform's access controls are functioning — not direct evidence about the cardholder data environment (CDE) itself. Auditors should understand this scope boundary.

References

Bundled files

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

Frequently asked questions

What does the Dd Audit Compliance Report AI skill do?

Generate auditor-ready compliance evidence from Datadog Audit Trail for SOC 2 and PCI DSS. Maps framework controls to specific query patterns and produces formatted output.

Why use Dd Audit Compliance Report on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datadog-labs/agent-skills/tree/main/dd-audit/compliance-report. 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 Dd Audit Compliance Report?

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 Compliance Report?

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

Is the Dd Audit Compliance Report 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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