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Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code changes. Only use if no Datadog Agent is deployed on the cluster yet.
Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code changes. Only use if no Datadog Agent is deployed on the cluster yet.
Source documentation, not instructions for this website. Review permissions before running any commands.
Before doing anything else: Fully resolve all variables in
## Context to resolve before acting. Do not begin Step 1 until every variable has a concrete value.
Invoke this skill when the user expresses intent to:
Do NOT invoke this skill if:
datadog-agent status firstdd-apm-k8s-agent-install instead[ -f environment ] && source environment
echo "DD_API_KEY set: $([ -n "${DD_API_KEY:-}" ] && echo yes || echo no)"
echo "DD_SITE: ${DD_SITE:-not set}"
If DD_API_KEY is already set — proceed directly to gathering infrastructure info.
If DD_API_KEY is not set — tell the user:
Please run the following in this chat to set your credentials (the
!prefix executes it in this session):! export DD_API_KEY=your-api-key-here ! export DD_SITE=datadoghq.com
Wait for the user to run the commands, then re-run the check above before continuing.
Only do this phase if the user hasn't already provided the information. If SSH credentials are known, skip to Phase 2.
Ask the user:
verify-ssi.Verify SSH works for each host before proceeding:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "hostname"
If it returns a hostname — proceed. ERROR: Connection refused or timeout — resolve connectivity before continuing.
Once SSH is confirmed, present a plan to the user before proceeding. For example:
Here's what I'm going to do:
1. Install the Datadog Agent with SSI on: <host1>, <host2>, ...
2. Verify each agent is running and healthy
3. Discover services on each host that need restarting for SSI to take effect
4. After you restart services, verify instrumentation is working
Ready to proceed?
Wait for user confirmation before starting installs.
Per host — check before installing:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"uname -m && cat /etc/os-release | grep -E '^(ID|VERSION_ID|PRETTY_NAME)='"
If architecture is x86_64 or aarch64, and the OS is a supported distribution (Ubuntu 16.04+, Debian 9+, RHEL/CentOS 6-9, Amazon Linux 2/2023, SUSE 12+) — proceed.
ERROR: Architecture is armv7l (32-bit ARM) or unsupported OS — stop. Datadog Agent 7 and SSI do not support this configuration.
| Variable | How to resolve |
|---|---|
DD_API_KEY | Check echo $DD_API_KEY first — if set, use it. Otherwise ask the user for their API key from Datadog UI: Organization Settings → API Keys. Never log or print the key. |
DD_SITE | Check echo $DD_SITE first — if set, use it. Otherwise ask the user. Default: datadoghq.com. Options: datadoghq.com, us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com |
SSH_KEY | Ask the user for the path to their SSH private key, or check CLAUDE.md |
SSH_USER | Ask the user for the SSH username. Default: root |
SSH_HOST | Ask the user for the hostname or IP of the target host |
SSH_PORT | Ask the user for the SSH port. Default: 22 |
Run for each host that does not already have the agent installed.
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"DD_API_KEY=${DD_API_KEY} DD_SITE=${DD_SITE} DD_APM_INSTRUMENTATION_ENABLED=host bash -c \"\$(curl -L https://install.datadoghq.com/scripts/install_script_agent7.sh)\""
DD_APM_INSTRUMENTATION_ENABLED=host causes the install script to also install datadog-apm-inject and language library packages under /opt/datadog-packages/ in one pass.
If the script completes without errors — proceed to Phase 2.
ERROR: curl: command not found:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"apt-get install -y curl 2>/dev/null || yum install -y curl"
ERROR: Permission error — ensure the SSH user has sudo access. The install script requires root.
ERROR: Script fails with GPG key error — retry; if it persists, check the host's DNS resolution for keys.datadoghq.com.
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | head -40"
Healthy output shows:
Agent (v7.XX.X) with Status: RunningAPI Keys status: API Key ending with XXXX: ValidERROR: command not found — installation did not complete. Re-run Phase 1.
ERROR: API key invalid — update and restart:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo sed -i 's/^api_key:.*/api_key: <NEW_API_KEY>/' /etc/datadog-agent/datadog.yaml && \
(sudo systemctl restart datadog-agent 2>/dev/null || sudo service datadog-agent restart)"
ERROR: Agent service not running:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo systemctl start datadog-agent 2>/dev/null && sudo systemctl enable datadog-agent 2>/dev/null || sudo service datadog-agent start"
Verify APM inject packages are present on disk (not just registered):
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"ls /opt/datadog-packages/ && sudo datadog-installer status 2>/dev/null | grep apm | head -10"
If /opt/datadog-packages/datadog-apm-inject exists — injection is available.
ERROR: Directory missing or empty — datadog-installer status may show the package as registered while its directory is actually empty (stale registration). Reinstall:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-installer remove datadog-apm-inject && \
DD_API_KEY=${DD_API_KEY} DD_SITE=${DD_SITE} DD_APM_INSTRUMENTATION_ENABLED=host bash -c \"\$(curl -L https://install.datadoghq.com/scripts/install_script_agent7.sh)\""
Verify hostname registration — the Agent must resolve and register its hostname for the host to appear in Datadog. DNS lookup failures are common in containers and minimal VMs:
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | grep -iE '^\s+Hostname' | head -3"
If Hostname: <some-name> is shown — hostname resolved. Record this as DD_HOSTNAME for all subsequent steps.
ERROR: Hostname: (none) or any DNS resolution error — the agent can't resolve its own FQDN. Fix by setting the hostname explicitly in datadog.yaml:
# Read the actual system hostname
ACTUAL_HOSTNAME=$(ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "hostname")
# Append to datadog.yaml only if not already set
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"grep -q '^hostname:' /etc/datadog-agent/datadog.yaml || \
echo \"hostname: ${ACTUAL_HOSTNAME}\" | sudo tee -a /etc/datadog-agent/datadog.yaml"
# Restart the Agent
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo systemctl restart datadog-agent 2>/dev/null || sudo service datadog-agent restart"
# Confirm hostname is now registered
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | grep -iE '^\s+Hostname' | head -2"
SSI only injects into processes at startup. Existing processes keep running uninstrumented until restarted. Discover what's running so the user knows what to restart.
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo ss -lntp 2>/dev/null || sudo netstat -tlnp 2>/dev/null || cat /proc/net/tcp"
For each application-level listener (ignore sshd, systemd, chronyd):
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "
# Command line of the process
sudo cat /proc/<PID>/cmdline | tr '\0' ' '
# Service manager (may not be available in all environments)
sudo systemctl status <PID> 2>/dev/null | head -3 || true
# Parent process
PPID=\$(sudo awk '/PPid/ {print \$2}' /proc/<PID>/status)
sudo cat /proc/\$PPID/cmdline | tr '\0' ' '
"
Present findings to the user:
I found the following application services on <host>:
Port 8080 — PID 1234 — /usr/bin/python3 /app/server.py
Managed by: systemd unit flask-app.service
Port 3000 — PID 5678 — node /app/server.js
Managed by: supervisord
These services need to be restarted for Datadog SSI to inject into them.
Restart them however is appropriate for your environment, then let me know
and I'll verify the instrumentation.
Do not offer to restart services. Do not restart services unless the user explicitly asks.
Exit when ALL of the following are true:
datadog-agent status shows Running, API key valid)/opt/datadog-packages/datadog-apm-inject exists on disk on each hostAutomatically proceed to enable-ssi (if services need UST labels configured) or verify-ssi (if services have already been restarted) — do not ask the user for permission.
DD_API_KEY in shell history — pass it inline in the SSH command onlyname: agent-install description: Install the Datadog Agent on Linux hosts via SSH with Single Step Instrumentation (SSI) enabled — SSI automatically instruments applications for APM without code changes. Only use if no agent is installed yet. metadata: version: "1.0.0" author: datadog-labs repository: https://github.com/datadog-labs/agent-skills tags: datadog,apm,linux,agent,install,ssi,ssh alwaysApply: "false"
---
name: agent-install
description: Install the Datadog Agent on Linux hosts via SSH with Single Step Instrumentation (SSI) enabled — SSI automatically instruments applications for APM without code changes. Only use if no agent is installed yet.
metadata:
version: "1.0.0"
author: datadog-labs
repository: https://github.com/datadog-labs/agent-skills
tags: datadog,apm,linux,agent,install,ssi,ssh
alwaysApply: "false"
---
# Install Datadog Agent on Linux
> **Before doing anything else:** Fully resolve all variables in `## Context to resolve before acting`. Do not begin Step 1 until every variable has a concrete value.
## Triggers
Invoke this skill when the user expresses intent to:
- Install the Datadog Agent on Linux hosts or VMs
- Set up Datadog monitoring on bare-metal or cloud Linux instances
- Prepare Linux hosts for APM onboarding
Do NOT invoke this skill if:
- The Agent is already installed on all hosts — check with `datadog-agent status` first
- The target is a Kubernetes cluster — use `dd-apm-k8s-agent-install` instead
---
## Phase 0: Load Credentials
```bash
[ -f environment ] && source environment
echo "DD_API_KEY set: $([ -n "${DD_API_KEY:-}" ] && echo yes || echo no)"
echo "DD_SITE: ${DD_SITE:-not set}"
```
**If `DD_API_KEY` is already set** — proceed directly to gathering infrastructure info.
**If `DD_API_KEY` is not set** — tell the user:
> Please run the following in this chat to set your credentials (the `!` prefix executes it in this session):
> ```
> ! export DD_API_KEY=your-api-key-here
> ! export DD_SITE=datadoghq.com
> ```
Wait for the user to run the commands, then re-run the check above before continuing.
---
## Phase 1: Gather Infrastructure Info
Only do this phase if the user hasn't already provided the information. If SSH credentials are known, skip to Phase 2.
Ask the user:
1. **Which hosts** need the agent? Get a list of IPs or hostnames.
2. **How do I SSH to them?** Get the SSH user, key path, and any jump host or bastion configuration.
3. **Do any hosts already have the Datadog Agent installed?** If so, skip install for those hosts and go straight to `verify-ssi`.
### Claude runs
Verify SSH works for each host before proceeding:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "hostname"
```
If it returns a hostname — proceed.
ERROR: Connection refused or timeout — resolve connectivity before continuing.
Once SSH is confirmed, present a plan to the user before proceeding. For example:
```
Here's what I'm going to do:
1. Install the Datadog Agent with SSI on: <host1>, <host2>, ...
2. Verify each agent is running and healthy
3. Discover services on each host that need restarting for SSI to take effect
4. After you restart services, verify instrumentation is working
Ready to proceed?
```
Wait for user confirmation before starting installs.
---
## Prerequisites
**Per host — check before installing:**
### Claude runs
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"uname -m && cat /etc/os-release | grep -E '^(ID|VERSION_ID|PRETTY_NAME)='"
```
If architecture is `x86_64` or `aarch64`, and the OS is a supported distribution (Ubuntu 16.04+, Debian 9+, RHEL/CentOS 6-9, Amazon Linux 2/2023, SUSE 12+) — proceed.
ERROR: Architecture is `armv7l` (32-bit ARM) or unsupported OS — stop. Datadog Agent 7 and SSI do not support this configuration.
---
## Context to resolve before acting
| Variable | How to resolve |
|---|---|
| `DD_API_KEY` | Check `echo $DD_API_KEY` first — if set, use it. Otherwise ask the user for their API key from Datadog UI: Organization Settings → API Keys. Never log or print the key. |
| `DD_SITE` | Check `echo $DD_SITE` first — if set, use it. Otherwise ask the user. Default: `datadoghq.com`. Options: `datadoghq.com`, `us3.datadoghq.com`, `us5.datadoghq.com`, `datadoghq.eu`, `ap1.datadoghq.com` |
| `SSH_KEY` | Ask the user for the path to their SSH private key, or check `CLAUDE.md` |
| `SSH_USER` | Ask the user for the SSH username. Default: `root` |
| `SSH_HOST` | Ask the user for the hostname or IP of the target host |
| `SSH_PORT` | Ask the user for the SSH port. Default: `22` |
---
## Phase 2: Install the Datadog Agent with SSI
Run for each host that does not already have the agent installed.
### Claude runs
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"DD_API_KEY=${DD_API_KEY} DD_SITE=${DD_SITE} DD_APM_INSTRUMENTATION_ENABLED=host bash -c \"\$(curl -L https://install.datadoghq.com/scripts/install_script_agent7.sh)\""
```
`DD_APM_INSTRUMENTATION_ENABLED=host` causes the install script to also install `datadog-apm-inject` and language library packages under `/opt/datadog-packages/` in one pass.
If the script completes without errors — proceed to Phase 2.
ERROR: `curl: command not found`:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"apt-get install -y curl 2>/dev/null || yum install -y curl"
```
ERROR: Permission error — ensure the SSH user has sudo access. The install script requires root.
ERROR: Script fails with GPG key error — retry; if it persists, check the host's DNS resolution for `keys.datadoghq.com`.
---
## Phase 3: Verify the Agent is Running and Healthy
### Claude runs
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | head -40"
```
Healthy output shows:
- `Agent (v7.XX.X)` with `Status: Running`
- `API Keys status: API Key ending with XXXX: Valid`
ERROR: `command not found` — installation did not complete. Re-run Phase 1.
ERROR: `API key invalid` — update and restart:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo sed -i 's/^api_key:.*/api_key: <NEW_API_KEY>/' /etc/datadog-agent/datadog.yaml && \
(sudo systemctl restart datadog-agent 2>/dev/null || sudo service datadog-agent restart)"
```
ERROR: Agent service not running:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo systemctl start datadog-agent 2>/dev/null && sudo systemctl enable datadog-agent 2>/dev/null || sudo service datadog-agent start"
```
**Verify APM inject packages are present on disk** (not just registered):
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"ls /opt/datadog-packages/ && sudo datadog-installer status 2>/dev/null | grep apm | head -10"
```
If `/opt/datadog-packages/datadog-apm-inject` exists — injection is available.
ERROR: Directory missing or empty — `datadog-installer status` may show the package as registered while its directory is actually empty (stale registration). Reinstall:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-installer remove datadog-apm-inject && \
DD_API_KEY=${DD_API_KEY} DD_SITE=${DD_SITE} DD_APM_INSTRUMENTATION_ENABLED=host bash -c \"\$(curl -L https://install.datadoghq.com/scripts/install_script_agent7.sh)\""
```
**Verify hostname registration** — the Agent must resolve and register its hostname for the host to appear in Datadog. DNS lookup failures are common in containers and minimal VMs:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | grep -iE '^\s+Hostname' | head -3"
```
If `Hostname: <some-name>` is shown — hostname resolved. Record this as `DD_HOSTNAME` for all subsequent steps.
ERROR: `Hostname: (none)` or any DNS resolution error — the agent can't resolve its own FQDN. Fix by setting the hostname explicitly in `datadog.yaml`:
```bash
# Read the actual system hostname
ACTUAL_HOSTNAME=$(ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "hostname")
# Append to datadog.yaml only if not already set
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"grep -q '^hostname:' /etc/datadog-agent/datadog.yaml || \
echo \"hostname: ${ACTUAL_HOSTNAME}\" | sudo tee -a /etc/datadog-agent/datadog.yaml"
# Restart the Agent
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo systemctl restart datadog-agent 2>/dev/null || sudo service datadog-agent restart"
# Confirm hostname is now registered
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo datadog-agent status 2>&1 | grep -iE '^\s+Hostname' | head -2"
```
---
## Phase 4: Discover Services That Need Restarting
SSI only injects into processes at startup. Existing processes keep running uninstrumented until restarted. Discover what's running so the user knows what to restart.
### Claude runs
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
"sudo ss -lntp 2>/dev/null || sudo netstat -tlnp 2>/dev/null || cat /proc/net/tcp"
```
For each application-level listener (ignore sshd, systemd, chronyd):
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "
# Command line of the process
sudo cat /proc/<PID>/cmdline | tr '\0' ' '
# Service manager (may not be available in all environments)
sudo systemctl status <PID> 2>/dev/null | head -3 || true
# Parent process
PPID=\$(sudo awk '/PPid/ {print \$2}' /proc/<PID>/status)
sudo cat /proc/\$PPID/cmdline | tr '\0' ' '
"
```
Present findings to the user:
```
I found the following application services on <host>:
Port 8080 — PID 1234 — /usr/bin/python3 /app/server.py
Managed by: systemd unit flask-app.service
Port 3000 — PID 5678 — node /app/server.js
Managed by: supervisord
These services need to be restarted for Datadog SSI to inject into them.
Restart them however is appropriate for your environment, then let me know
and I'll verify the instrumentation.
```
**Do not offer to restart services. Do not restart services unless the user explicitly asks.**
---
## Done
Exit when ALL of the following are true:
- [ ] Agent running on each target host (`datadog-agent status` shows Running, API key valid)
- [ ] `/opt/datadog-packages/datadog-apm-inject` exists on disk on each host
- [ ] User has been informed which services need restarting
- [ ] User has confirmed they are ready to restart services
Automatically proceed to `enable-ssi` (if services need UST labels configured) or `verify-ssi` (if services have already been restarted) — do not ask the user for permission.
---
## Security constraints
- Never write a raw API key into any file or chat message
- Never store `DD_API_KEY` in shell history — pass it inline in the SSH command only
- If the user's API key appears in any output, redact it before displaying
- Always confirm before restarting production services
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
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
69/100
Promising
Trust
56/100
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.
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"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"design-creative",
"agent-skill"
],
"known_risks": [
"The pup installation uses `curl | tar` without checksum verification, which is a supply chain risk.",
"Financial research output is not financial advice; require human review before any live investment decision.",
"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"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 75,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"The pup installation uses `curl | tar` without checksum verification, which is a supply chain risk.",
"The skill does not pin the Datadog Operator chart version; it uses the latest stable, which may lead to unexpected changes.",
"The SKILL.md excerpt is truncated at the end (the 'Man' line), so the full decision section is not visible; ensure completeness.",
"Financial research output is not financial advice; require human review before any live investment decision."
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 69,
"label": "Promising"
},
"supply": {
"track": "Design and creative production",
"scenario": "Design and creative",
"maintenance": "21d since push",
"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"The pup installation uses `curl | tar` without checksum verification, which is a supply chain risk.",
"No OpenAgentSkill engagement data yet",
"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"
],
"agent_contract": {
"task_input": "Use agent-install 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: 64/100 Manual review",
"Audit: 75/100 Risky",
"Safety: 35/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "datadog-labs-agent-install (agent-install)",
"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-agent-install",
"task": "Use agent-install 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-agent-install",
"api": "https://www.openagentskill.com/api/agent/skills/datadog-labs-agent-install",
"audit": "https://www.openagentskill.com/skills/datadog-labs-agent-install/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=datadog-labs-agent-install&task=Use%20agent-install%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20agent-install%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20agent-install%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/datadog-labs-agent-install/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/datadog-labs-agent-install"
}
}Listing source
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Audit
75/100
Risky
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.