
dd-audit-key-compromise
Investigate a potentially compromised Datadog API key — timeline of actions, geo/IP breakdown, endpoints called, anomaly flags, and remediation steps.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/datadog-labs/agent-skills --skill dd-audit-key-compromise- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads dd-audit-key-compromise automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Audit Trail: API Key Compromise Investigation
Reconstruct what a Datadog API key did, where requests originated, and which resources were affected.
Prerequisites
pup auth login # OAuth2 (recommended)
# or set DD_API_KEY + DD_APP_KEY with audit_logs_read scope
You need the key ID of the suspect key (not the key value). Find it in Datadog UI under Organization Settings > API Keys, or from context showing @metadata.api_key.id.
Investigation Workflow
Step 1 — Establish timeline
pup audit-logs search --query "@metadata.api_key.id:KEY_ID" --from 90d --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,
endpoint: .attributes.attributes.http.url_details.path,
method: .attributes.attributes.http.method,
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
}]'
Step 2 — Geo/IP breakdown
pup audit-logs search --query "@metadata.api_key.id:KEY_ID" --from 90d --limit 500 -o json \
| jq '[.data[] | {
country: .attributes.attributes.network.client.geoip.country.name,
asn: .attributes.attributes.network.client.geoip.as.name,
ip: .attributes.attributes.network.client.ip
}]
| group_by(.country)
| map({
country: .[0].country,
count: length,
asns: [.[].asn] | unique,
ips: [.[].ip] | unique
})
| sort_by(-.count)'
Step 3 — Endpoint breakdown
pup audit-logs search --query "@metadata.api_key.id:KEY_ID" --from 90d --limit 500 -o json \
| jq '[.data[] | {
method: .attributes.attributes.http.method,
path: .attributes.attributes.http.url_details.path
}]
| group_by(.path)
| map({path: .[0].path, methods: [.[].method] | unique, count: length})
| sort_by(-.count)'
Step 4 — Destructive action check
pup audit-logs search --query "@metadata.api_key.id:KEY_ID @action:deleted" --from 90d -o json \
| jq '[.data[] | {
timestamp: .attributes.timestamp,
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
}]'
Step 5 — When was the key created and by whom?
pup audit-logs search --query "@asset.type:api_key @asset.id:KEY_ID @action:created" --from 90d -o json \
| jq '[.data[] | {
created_at: .attributes.timestamp,
created_by: .attributes.attributes.usr.email,
creator_ip: .attributes.attributes.network.client.ip,
creator_country: .attributes.attributes.network.client.geoip.country.name
}]'
Anomaly Flags
| Signal | Why it matters |
|---|---|
| Country not in org's normal baseline | Possible exfiltration from unexpected region |
| ASN is a cloud/VPN provider (AWS, Cloudflare, NordVPN, etc.) | Proxied traffic; obscured origin |
| DELETE actions on monitors, dashboards, or log pipelines | Potential sabotage |
| Burst of activity in short window | Automated scraping or bulk exfiltration |
| Activity outside business hours | Off-hours access |
| Key used from multiple IPs simultaneously | Key shared or stolen |
Investigation Output Format
Key ID: <key_id>
Created: <timestamp> by <user_email>
Active period: <first_seen> to <last_seen>
Total events: <N>
Origins:
- <Country> (<ASN>): <N> events — [NORMAL / FLAG: first-time origin]
Endpoints called (top 5):
- <METHOD> <path>: <N> calls
Destructive actions: <N> deletions — [resource types affected]
Recommended actions:
1. Revoke the key immediately if not already done
2. Review affected resources: [list]
3. Check if any deleted resources need restoration
4. Audit who else had access to this key
Remediation
Revoke in Datadog UI: Organization Settings > API Keys > Revoke.
Or via API (requires manage_api_keys scope):
pup api-keys delete KEY_ID
References
FAQ
What does the dd-audit-key-compromise skill do?
Investigate a potentially compromised Datadog API key — timeline of actions, geo/IP breakdown, endpoints called, anomaly flags, and remediation steps.
How do I install dd-audit-key-compromise?
Run npx skills add https://github.com/datadog-labs/agent-skills --skill dd-audit-key-compromise in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/dd-audit-key-compromise/ (personal) or .claude/skills/dd-audit-key-compromise/ (project).
Which AI agents can use dd-audit-key-compromise?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is dd-audit-key-compromise safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains dd-audit-key-compromise?
It is published by datadog-labs in datadog-labs/agent-skills, and it is an official skill from the maker of the technology it covers. It has 477 recorded installs.
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