enable-ssi: Data & Analytics for AI Agents | OpenAgentSkill

Overview

Enable Single Step Instrumentation (SSI) on Kubernetes — automatically instruments applications for APM without code changes. Only use if the Datadog Agent is already running on the cluster — if not, use agent-install first.

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Configure SSI and Unified Service Tags on Linux

Before doing anything else: Fully resolve all variables in ## Context to resolve before acting. Do not begin Step 0 until every variable has a concrete value.

Triggers

Invoke this skill when:

The Datadog Agent is already installed with SSI (DD_APM_INSTRUMENTATION_ENABLED=host was used) and you need to configure Unified Service Tags on the application service
The user wants to set DD_SERVICE, DD_ENV, DD_VERSION on a running service
SSI is installed but /proc/<pid>/maps doesn't show the language tracer (launcher-only injection)

Do NOT invoke this skill if:

The Datadog Agent is not yet installed — run agent-install first
SSI packages are missing from /opt/datadog-packages/ — re-run agent-install
The target is a Kubernetes cluster — use dd-apm-k8s-enable-ssi instead

Background

When the install script runs with DD_APM_INSTRUMENTATION_ENABLED=host, it:

Installs datadog-apm-inject and language library packages under /opt/datadog-packages/
Writes the launcher path into /etc/ld.so.preload
SSI is now armed — every new process on the host gets the launcher injected at startup

What SSI does NOT configure automatically:

DD_SERVICE, DD_ENV, DD_VERSION — these must be set on the application process for traces to be tagged correctly
Without DD_SERVICE, the tracer auto-detects a service name (often the process name or framework name), which may not match what the user expects

Prerequisites

Verify SSI is armed:

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "cat /etc/ld.so.preload && ls /opt/datadog-packages/ | grep apm"

If /etc/ld.so.preload contains a path to the launcher, and /opt/datadog-packages/datadog-apm-inject exists — SSI is armed.

ERROR: Either missing — run agent-install first.

Check for existing manual instrumentation:

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "
grep -r 'import ddtrace\|from ddtrace\|require .dd-trace.\|opentelemetry' <SOURCE_DIR> 2>/dev/null | head -5 || echo 'No manual instrumentation found'
"

ERROR: Manual instrumentation found — SSI silently disables itself when it detects an existing tracer. Remove the manual import/package before proceeding.

Check base libc:

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "ldd --version 2>&1 | head -1"

ERROR: musl — SSI requires glibc. No workaround; must use a glibc-based OS.

Context to resolve before acting

Variable	How to resolve
`SERVICE_NAME`	Ask the user — how the service should appear in Datadog APM (e.g. `payment-api`)
`ENV`	Ask the user — environment name (e.g. `production`, `staging`, `dev`)
`VERSION`	Ask the user or read from the app's version file / git tag
`SYSTEMD_SERVICE_NAME`	From `systemctl list-units --type=service --state=running` on the host — the unit running the app
`SSH_KEY`	Path to SSH private key
`SSH_USER`	SSH username
`SSH_HOST`	Hostname or IP of the target host

Step 0 (Only if existing instrumentation detected): Remove Manual Instrumentation

Python: pip uninstall ddtrace, remove import ddtrace / ddtrace-run from CMD
Node.js: npm uninstall dd-trace, remove require('dd-trace')
Java: remove -javaagent:/path/to/dd-java-agent.jar JVM flag
Ruby: gem uninstall ddtrace, remove require 'ddtrace'
.NET: remove Datadog.Trace NuGet and profiler env vars

After removing, restart the service. Confirm with the user before restarting. Tell the user: "I need to restart <SYSTEMD_SERVICE_NAME> to remove the old instrumentation. This will cause a brief outage. Ready to proceed?" Wait for confirmation.

Step 1: Set Unified Service Tags on the Application Process

Without UST, traces arrive with an auto-detected service name that may not match user expectations, and won't be tagged with env or version.

For systemd-managed services (most common):

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl cat <SYSTEMD_SERVICE_NAME>"

Add a drop-in override (preserves the original unit file):

What you need to do in a terminal

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST>
sudo systemctl edit <SYSTEMD_SERVICE_NAME>

Add to the editor:

[Service]
Environment="DD_SERVICE=<SERVICE_NAME>"
Environment="DD_ENV=<ENV>"
Environment="DD_VERSION=<VERSION>"

Apply:

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl daemon-reload && sudo systemctl show <SYSTEMD_SERVICE_NAME> | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION'"

If the UST vars appear in the output — configuration applied.

For supervisord:

# In [program:<name>] section of supervisord.conf
environment=DD_SERVICE="<SERVICE_NAME>",DD_ENV="<ENV>",DD_VERSION="<VERSION>"

Reload: sudo supervisorctl reload

For pm2:

// ecosystem.config.js
env: { DD_SERVICE: "<SERVICE_NAME>", DD_ENV: "<ENV>", DD_VERSION: "<VERSION>" }

Reload: pm2 reload <app>

Step 2: Restart the Service

Confirm with the user before restarting. Tell the user: "I need to restart <SYSTEMD_SERVICE_NAME> for SSI to inject into it. This will cause a brief outage. Ready to proceed?" Wait for confirmation.

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl restart <SYSTEMD_SERVICE_NAME> && sleep 3 && sudo systemctl is-active <SYSTEMD_SERVICE_NAME>"

If active is returned — service is running.

ERROR: Returns failed — check logs:

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo journalctl -u <SYSTEMD_SERVICE_NAME> --since '1 minute ago' | tail -30"

Step 3: Confirm Injection and UST in the Running Process

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "pgrep -a -f '<SERVICE_NAME>' | head -3"

Use the PID:

# Authoritative injection check
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo cat /proc/<PID>/maps | grep -E 'launcher|apm-library|datadog'"

# UST vars in process environment
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo cat /proc/<PID>/environ | tr '\0' '\n' | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION'"

If both the launcher and language library appear in maps, and UST vars are in environ — SSI and tagging are fully configured.

ERROR: Launcher in maps but no language library — injection attempted but failed. Run:

pup apm troubleshooting list --hostname <DD_HOSTNAME> --timeframe 15m

Go to troubleshoot-ssi if errors are present.

Done

Exit when ALL of the following are true:

Launcher and language library visible in /proc/<PID>/maps
DD_SERVICE, DD_ENV, DD_VERSION present in /proc/<PID>/environ
Service is running and healthy

Automatically proceed to verify-ssi now — do not ask the user for permission.

Security constraints

Never write a raw API key into any file or chat message
Always confirm with the user before restarting production services
Do not modify application source code — configure only via environment variables in the service unit

View source ↗

File metadata

name: enable-ssi
description: Configure Unified Service Tags and verify Single Step Instrumentation (SSI) injection on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use if the Datadog Agent is already installed.
metadata:
  version: "1.0.0"
  author: datadog-labs
  repository: https://github.com/datadog-labs/agent-skills
  tags: datadog,apm,linux,ssi,instrumentation,single-step,ld-preload,ust
  alwaysApply: "false"

View original text

---
name: enable-ssi
description: Configure Unified Service Tags and verify Single Step Instrumentation (SSI) injection on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use if the Datadog Agent is already installed.
metadata:
  version: "1.0.0"
  author: datadog-labs
  repository: https://github.com/datadog-labs/agent-skills
  tags: datadog,apm,linux,ssi,instrumentation,single-step,ld-preload,ust
  alwaysApply: "false"
---

# Configure SSI and Unified Service Tags on Linux

> **Before doing anything else:** Fully resolve all variables in `## Context to resolve before acting`. Do not begin Step 0 until every variable has a concrete value.

## Triggers

Invoke this skill when:
- The Datadog Agent is already installed with SSI (`DD_APM_INSTRUMENTATION_ENABLED=host` was used) and you need to configure Unified Service Tags on the application service
- The user wants to set `DD_SERVICE`, `DD_ENV`, `DD_VERSION` on a running service
- SSI is installed but `/proc/<pid>/maps` doesn't show the language tracer (launcher-only injection)

Do NOT invoke this skill if:
- The Datadog Agent is not yet installed — run `agent-install` first
- SSI packages are missing from `/opt/datadog-packages/` — re-run `agent-install`
- The target is a Kubernetes cluster — use `dd-apm-k8s-enable-ssi` instead

---

## Background

When the install script runs with `DD_APM_INSTRUMENTATION_ENABLED=host`, it:
1. Installs `datadog-apm-inject` and language library packages under `/opt/datadog-packages/`
2. Writes the launcher path into `/etc/ld.so.preload`
3. SSI is now armed — every new process on the host gets the launcher injected at startup

**What SSI does NOT configure automatically:**
- `DD_SERVICE`, `DD_ENV`, `DD_VERSION` — these must be set on the application process for traces to be tagged correctly
- Without `DD_SERVICE`, the tracer auto-detects a service name (often the process name or framework name), which may not match what the user expects

---

## Prerequisites

**Verify SSI is armed:**

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "cat /etc/ld.so.preload && ls /opt/datadog-packages/ | grep apm"
```

If `/etc/ld.so.preload` contains a path to the launcher, and `/opt/datadog-packages/datadog-apm-inject` exists — SSI is armed.

ERROR: Either missing — run `agent-install` first.

**Check for existing manual instrumentation:**

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "
grep -r 'import ddtrace\|from ddtrace\|require .dd-trace.\|opentelemetry' <SOURCE_DIR> 2>/dev/null | head -5 || echo 'No manual instrumentation found'
"
```

ERROR: Manual instrumentation found — SSI silently disables itself when it detects an existing tracer. Remove the manual import/package before proceeding.

**Check base libc:**

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "ldd --version 2>&1 | head -1"
```

ERROR: musl — SSI requires glibc. No workaround; must use a glibc-based OS.

---

## Context to resolve before acting

| Variable | How to resolve |
|---|---|
| `SERVICE_NAME` | Ask the user — how the service should appear in Datadog APM (e.g. `payment-api`) |
| `ENV` | Ask the user — environment name (e.g. `production`, `staging`, `dev`) |
| `VERSION` | Ask the user or read from the app's version file / git tag |
| `SYSTEMD_SERVICE_NAME` | From `systemctl list-units --type=service --state=running` on the host — the unit running the app |
| `SSH_KEY` | Path to SSH private key |
| `SSH_USER` | SSH username |
| `SSH_HOST` | Hostname or IP of the target host |

---

## Step 0 (Only if existing instrumentation detected): Remove Manual Instrumentation

- Python: `pip uninstall ddtrace`, remove `import ddtrace` / `ddtrace-run` from CMD
- Node.js: `npm uninstall dd-trace`, remove `require('dd-trace')` 
- Java: remove `-javaagent:/path/to/dd-java-agent.jar` JVM flag
- Ruby: `gem uninstall ddtrace`, remove `require 'ddtrace'`
- .NET: remove `Datadog.Trace` NuGet and profiler env vars

After removing, restart the service. **Confirm with the user before restarting.** Tell the user: "I need to restart `<SYSTEMD_SERVICE_NAME>` to remove the old instrumentation. This will cause a brief outage. Ready to proceed?" Wait for confirmation.

---

## Step 1: Set Unified Service Tags on the Application Process

Without UST, traces arrive with an auto-detected service name that may not match user expectations, and won't be tagged with env or version.

**For systemd-managed services** (most common):

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl cat <SYSTEMD_SERVICE_NAME>"
```

Add a drop-in override (preserves the original unit file):

### What you need to do in a terminal

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST>
sudo systemctl edit <SYSTEMD_SERVICE_NAME>
```

Add to the editor:

```ini
[Service]
Environment="DD_SERVICE=<SERVICE_NAME>"
Environment="DD_ENV=<ENV>"
Environment="DD_VERSION=<VERSION>"
```

Apply:

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl daemon-reload && sudo systemctl show <SYSTEMD_SERVICE_NAME> | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION'"
```

If the UST vars appear in the output — configuration applied.

**For supervisord:**
```ini
# In [program:<name>] section of supervisord.conf
environment=DD_SERVICE="<SERVICE_NAME>",DD_ENV="<ENV>",DD_VERSION="<VERSION>"
```
Reload: `sudo supervisorctl reload`

**For pm2:**
```js
// ecosystem.config.js
env: { DD_SERVICE: "<SERVICE_NAME>", DD_ENV: "<ENV>", DD_VERSION: "<VERSION>" }
```
Reload: `pm2 reload <app>`

---

## Step 2: Restart the Service

**Confirm with the user before restarting.** Tell the user: "I need to restart `<SYSTEMD_SERVICE_NAME>` for SSI to inject into it. This will cause a brief outage. Ready to proceed?" Wait for confirmation.

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl restart <SYSTEMD_SERVICE_NAME> && sleep 3 && sudo systemctl is-active <SYSTEMD_SERVICE_NAME>"
```

If `active` is returned — service is running.

ERROR: Returns `failed` — check logs:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo journalctl -u <SYSTEMD_SERVICE_NAME> --since '1 minute ago' | tail -30"
```

---

## Step 3: Confirm Injection and UST in the Running Process

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "pgrep -a -f '<SERVICE_NAME>' | head -3"
```

Use the PID:

```bash
# Authoritative injection check
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo cat /proc/<PID>/maps | grep -E 'launcher|apm-library|datadog'"

# UST vars in process environment
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo cat /proc/<PID>/environ | tr '\0' '\n' | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION'"
```

If both the launcher and language library appear in maps, and UST vars are in environ — SSI and tagging are fully configured.

ERROR: Launcher in maps but no language library — injection attempted but failed. Run:
```bash
pup apm troubleshooting list --hostname <DD_HOSTNAME> --timeframe 15m
```

Go to `troubleshoot-ssi` if errors are present.

---

## Done

Exit when ALL of the following are true:
- [ ] Launcher and language library visible in `/proc/<PID>/maps`
- [ ] `DD_SERVICE`, `DD_ENV`, `DD_VERSION` present in `/proc/<PID>/environ`
- [ ] Service is running and healthy

Automatically proceed to `verify-ssi` now — do not ask the user for permission.

---

## Security constraints

- Never write a raw API key into any file or chat message
- Always confirm with the user before restarting production services
- Do not modify application source code — configure only via environment variables in the service unit

Review the source

Source needs review

The tracked source changed or could not be synchronized. Review the current source before installing.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 165 stars, 27 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2

Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: datadog-labs/agent-skills
License: MIT
Version: 1.0.0
Last GitHub push: Aug 26, 2026
Registry updated: Sep 6, 2026
Instruction path: dd-apm/linux-ssi/enable-ssi/SKILL.md @ 157edafdc100

Version reported in registry metadata; check source releases before relying on it.

Quality

69/100

Promising

Trust

65/100

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "track": "Data, BI, and analytics",
    "scenario": "Coding agents",
    "maintenance": "21d since push",
    "risk": "Risky"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "Audit risk risky exceeds max_risk=medium",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required"
  ],
  "agent_contract": {
    "task_input": "Use enable-ssi in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 73/100 Strong shortlist",
      "Audit: 78/100 Risky",
      "Safety: 38/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "datadog-labs-enable-ssi (enable-ssi)",
      "install_command": "",
      "risk_summary": "Risky; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "datadog-labs-enable-ssi",
      "task": "Use enable-ssi in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/datadog-labs-enable-ssi",
    "api": "https://www.openagentskill.com/api/agent/skills/datadog-labs-enable-ssi",
    "audit": "https://www.openagentskill.com/skills/datadog-labs-enable-ssi/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=datadog-labs-enable-ssi&task=Use%20enable-ssi%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20enable-ssi%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20enable-ssi%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/datadog-labs-enable-ssi/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/datadog-labs-enable-ssi"
  }
}

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Creator: datadog-labs
Source: datadog-labs/agent-skills
Indexed by: OpenAgentSkill community index

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Overview

Configure SSI and Unified Service Tags on Linux

Triggers

Background

Prerequisites

Claude runs

Claude runs

Claude runs

Context to resolve before acting

Step 0 (Only if existing instrumentation detected): Remove Manual Instrumentation

Step 1: Set Unified Service Tags on the Application Process

Claude runs

What you need to do in a terminal

Claude runs

Step 2: Restart the Service

Claude runs

Step 3: Confirm Injection and UST in the Running Process

Claude runs

Done

Security constraints

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Start with one small task

Source & usage notes

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