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verify-ssi

Verify Single Step Instrumentation (SSI) is working end-to-end on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.

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Harga belum dikonfirmasi★ 165 Star GitHubDirektori diperbarui · 6 Sep 2026agent-skill

Ringkasan

Verify Single Step Instrumentation (SSI) is working end-to-end on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.

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Dokumentasi sumber, bukan instruksi untuk situs ini. Periksa izin sebelum menjalankan perintah.

Verify APM SSI 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:

Confirm SSI is working after installing the Datadog Agent on Linux
Check whether a Linux process is being instrumented
Verify the tracer is running and reporting telemetry

Do NOT invoke this skill if:

SSI has not been enabled yet — run agent-install first
Services have not been restarted since the agent was installed — restart them first, then verify

Prerequisites

agent-install is complete
Application services have been restarted since the agent was installed

pup-cli: check, install, and authenticate

Claude runs

pup --version

If not found:

Claude runs

brew tap datadog-labs/pack
brew install pup

Check auth:

pup auth status --site <DD_SITE>

If not authenticated:

Claude runs

pup auth login --site <DD_SITE>

This opens a browser tab for OAuth. Complete the login there — Claude will continue once the command exits.

If valid token — proceed. ERROR: No browser available: export DD_APP_KEY=<your-app-key>

Context to resolve before acting

Variable	How to resolve
`DD_HOSTNAME`	Hostname as Datadog sees it — from `sudo datadog-agent status` output
`SERVICE_NAME`	Expected service name in APM — ask the user
`ENV`	Environment tag — ask the user
`DD_SITE`	`grep "^site:" /etc/datadog-agent/datadog.yaml` via SSH, or ask the user
`SSH_KEY`	Path to SSH private key
`SSH_USER`	SSH username
`SSH_HOST`	Hostname or IP of the target host

Step 1: Confirm the Process is Injected

Use /proc/<pid>/maps — this is the authoritative check. It shows the actual shared libraries loaded into the running process, which is the only way to confirm the launcher and tracer .so files were actually loaded.

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "pgrep -a -f '<SERVICE_NAME>' | head -5"

Use the PID from above:

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

If the output includes both the launcher (e.g. launcher.preload.so) and a language library (e.g. apm-library-python) — injection succeeded for this process.

ERROR: Launcher present but no language library — launcher ran but couldn't inject. Check for injection errors:

Claude runs

pup apm troubleshooting list --hostname <DD_HOSTNAME> --timeframe 1h

ERROR: Neither present — process was not injected. Check /etc/ld.so.preload:

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "cat /etc/ld.so.preload"

If empty — install did not set up the launcher. Re-run the install script with DD_APM_INSTRUMENTATION_ENABLED=host. If non-empty but the process still isn't injected — the process was started before the launcher was installed. Restart the service and recheck.

Step 2: Confirm the Agent is Receiving Traces

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo datadog-agent status 2>&1 | grep -A 15 'APM Agent'"

Healthy output shows:

feature_auto_instrumentation_enabled: true
Receiver (previous minute) with > 0 traces

ERROR: feature_auto_instrumentation_enabled: false — SSI not active on the agent. Check apm_config in /etc/datadog-agent/datadog.yaml.

ERROR: Receiver (previous minute): 0 — agent running but no traces yet. Generate traffic first (see Step 3), then recheck.

Step 3: Confirm the Service is Visible in Datadog

Claude runs

DD_SITE=<DD_SITE> pup apm services list --env <ENV> --from 1h

If <SERVICE_NAME> appears with isTraced: true — traces are reaching the Datadog backend.

Flask / ddtrace v3 naming note: With ddtrace >=3.x, Flask spans are emitted as service:flask rather than service:<DD_SERVICE>. The DD_SERVICE value appears as base_service on the spans. If you set DD_SERVICE=my-app, search for service:flask in the APM UI — the service list will show flask, not my-app. Check the base_service tag to confirm it matches your DD_SERVICE.

ERROR: Service missing — generate traffic to trigger trace creation:

Claude runs

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo ss -tlnp 2>/dev/null | grep <PID> || sudo netstat -tlnp 2>/dev/null | grep <PID>"

Use the port from above:

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "for i in \$(seq 1 10); do curl -s -o /dev/null http://localhost:<PORT>/; done"

Wait 30 seconds, then retry:

DD_SITE=<DD_SITE> pup apm services list --env <ENV> --from 10m
DD_SITE=<DD_SITE> pup traces search --query "service:<SERVICE_NAME>" --from 10m --limit 5

ERROR: Still missing — check for injection errors and go to troubleshoot-ssi:

pup apm troubleshooting list --hostname <DD_HOSTNAME> --timeframe 1h

Done

Exit when ALL of the following are true:

Step 1: launcher + language library both visible in /proc/<PID>/maps
Step 2: agent APM receiver shows > 0 traces/min
Step 3: service appears in pup apm services list

If any check fails, go to troubleshoot-ssi.

When all steps pass, automatically proceed to onboarding-summary now — do not ask the user for permission.

Security constraints

Never write a raw API key into any file or chat message
Always confirm before restarting production services

Lihat sumber ↗

Metadata berkas

name: verify-ssi
description: Verify Single Step Instrumentation (SSI) is working end-to-end on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.
metadata:
  version: "1.0.0"
  author: datadog-labs
  repository: https://github.com/datadog-labs/agent-skills
  tags: datadog,apm,linux,ssi,verification,instrumentation,ld-preload
  alwaysApply: "false"

Lihat teks asli

---
name: verify-ssi
description: Verify Single Step Instrumentation (SSI) is working end-to-end on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.
metadata:
  version: "1.0.0"
  author: datadog-labs
  repository: https://github.com/datadog-labs/agent-skills
  tags: datadog,apm,linux,ssi,verification,instrumentation,ld-preload
  alwaysApply: "false"
---

# Verify APM SSI 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:
- Confirm SSI is working after installing the Datadog Agent on Linux
- Check whether a Linux process is being instrumented
- Verify the tracer is running and reporting telemetry

Do NOT invoke this skill if:
- SSI has not been enabled yet — run `agent-install` first
- Services have not been restarted since the agent was installed — restart them first, then verify

---

## Prerequisites

- [ ] `agent-install` is complete
- [ ] Application services have been restarted since the agent was installed

### pup-cli: check, install, and authenticate

### Claude runs

```bash
pup --version
```

If not found:

### Claude runs

```bash
brew tap datadog-labs/pack
brew install pup
```

Check auth:
```bash
pup auth status --site <DD_SITE>
```

If not authenticated:

### Claude runs

```bash
pup auth login --site <DD_SITE>
```

> This opens a browser tab for OAuth. Complete the login there — Claude will continue once the command exits.

If valid token — proceed.
ERROR: No browser available: `export DD_APP_KEY=<your-app-key>`

---

## Context to resolve before acting

| Variable | How to resolve |
|---|---|
| `DD_HOSTNAME` | Hostname as Datadog sees it — from `sudo datadog-agent status` output |
| `SERVICE_NAME` | Expected service name in APM — ask the user |
| `ENV` | Environment tag — ask the user |
| `DD_SITE` | `grep "^site:" /etc/datadog-agent/datadog.yaml` via SSH, or ask the user |
| `SSH_KEY` | Path to SSH private key |
| `SSH_USER` | SSH username |
| `SSH_HOST` | Hostname or IP of the target host |

---

## Step 1: Confirm the Process is Injected

Use `/proc/<pid>/maps` — this is the authoritative check. It shows the actual shared libraries loaded into the running process, which is the only way to confirm the launcher and tracer `.so` files were actually loaded.

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "pgrep -a -f '<SERVICE_NAME>' | head -5"
```

Use the PID from above:

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

If the output includes both the launcher (e.g. `launcher.preload.so`) and a language library (e.g. `apm-library-python`) — injection succeeded for this process.

ERROR: Launcher present but no language library — launcher ran but couldn't inject. Check for injection errors:

### Claude runs

```bash
pup apm troubleshooting list --hostname <DD_HOSTNAME> --timeframe 1h
```

ERROR: Neither present — process was not injected. Check `/etc/ld.so.preload`:

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "cat /etc/ld.so.preload"
```

If empty — install did not set up the launcher. Re-run the install script with `DD_APM_INSTRUMENTATION_ENABLED=host`. If non-empty but the process still isn't injected — the process was started before the launcher was installed. Restart the service and recheck.

---

## Step 2: Confirm the Agent is Receiving Traces

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo datadog-agent status 2>&1 | grep -A 15 'APM Agent'"
```

Healthy output shows:
- `feature_auto_instrumentation_enabled: true`
- `Receiver (previous minute)` with `> 0` traces

ERROR: `feature_auto_instrumentation_enabled: false` — SSI not active on the agent. Check `apm_config` in `/etc/datadog-agent/datadog.yaml`.

ERROR: `Receiver (previous minute): 0` — agent running but no traces yet. Generate traffic first (see Step 3), then recheck.

---

## Step 3: Confirm the Service is Visible in Datadog

### Claude runs

```bash
DD_SITE=<DD_SITE> pup apm services list --env <ENV> --from 1h
```

If `<SERVICE_NAME>` appears with `isTraced: true` — traces are reaching the Datadog backend.

> **Flask / ddtrace v3 naming note:** With ddtrace >=3.x, Flask spans are emitted as `service:flask` rather than `service:<DD_SERVICE>`. The `DD_SERVICE` value appears as `base_service` on the spans. If you set `DD_SERVICE=my-app`, search for `service:flask` in the APM UI — the service list will show `flask`, not `my-app`. Check the `base_service` tag to confirm it matches your `DD_SERVICE`.

ERROR: Service missing — generate traffic to trigger trace creation:

### Claude runs

```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo ss -tlnp 2>/dev/null | grep <PID> || sudo netstat -tlnp 2>/dev/null | grep <PID>"
```

Use the port from above:
```bash
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "for i in \$(seq 1 10); do curl -s -o /dev/null http://localhost:<PORT>/; done"
```

Wait 30 seconds, then retry:
```bash
DD_SITE=<DD_SITE> pup apm services list --env <ENV> --from 10m
DD_SITE=<DD_SITE> pup traces search --query "service:<SERVICE_NAME>" --from 10m --limit 5
```

ERROR: Still missing — check for injection errors and go to `troubleshoot-ssi`:
```bash
pup apm troubleshooting list --hostname <DD_HOSTNAME> --timeframe 1h
```

---

## Done

Exit when ALL of the following are true:
- [ ] Step 1: launcher + language library both visible in `/proc/<PID>/maps`
- [ ] Step 2: agent APM receiver shows `> 0` traces/min
- [ ] Step 3: service appears in `pup apm services list`

If any check fails, go to `troubleshoot-ssi`.

When all steps pass, automatically proceed to `onboarding-summary` now — do not ask the user for permission.

---

## Security constraints

- Never write a raw API key into any file or chat message
- Always confirm before restarting production services

Tinjau sumber

Harga dan biaya penggunaan

Dapatkan skill: Harga belum dikonfirmasi
Jalankan: Persyaratan belum dikonfirmasi. Periksa biaya agen, API, dan layanan di sumbernya.
Lisensi: MIT
Harga belum dikonfirmasi: Harga belum dikonfirmasi. Tautan sumber dan instalasi yang ada tetap tersedia.

Gratis diperoleh bukan berarti gratis dijalankan. Harga bukan penilaian keamanan. Kirim informasi harga →

Sumber perlu ditinjau

Sumber berubah atau gagal disinkronkan. Tinjau sumber terbaru sebelum memasang.

Tinjau sebelum memasang: Hindari pemasangan otomatis

Lisensi: 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

Buka audit lengkap

Daftar alat adalah petunjuk metadata, bukan kompatibilitas teruji. Prompt adalah saran.

Mulai dengan tugas kecil

1Baca sumber dan pastikan masukan, keluaran, dependensi, serta izin.
2Minta rencana dari agent. Setujui pengaturan dan biaya sebelum uji terisolasi.
3Periksa hasil dan berkas yang berubah. Laporkan hanya yang dijalankan dan simpan revisi sumber.

Periksa dependensi, kunci API, dan biaya layanan pihak ketiga pada sumber. Repositori publik tidak berarti semua layanan gratis.

Sumber dan catatan penggunaan

Terindeks

Metadata dan tinjauan bersifat saran. Popularitas, penemuan sumber, dan keberhasilan eksekusi adalah fakta berbeda.

Repositori sumber: datadog-labs/agent-skills
Lisensi: MIT
Versi: 1.0.0
Push GitHub terakhir: 26 Agu 2026
Direktori diperbarui: 6 Sep 2026
Jalur instruksi: dd-apm/linux-ssi/verify-ssi/SKILL.md @ 157edafdc100

Versi dilaporkan dalam metadata direktori; periksa rilis sumber.

Kualitas

66/100

Menjanjikan

Kepercayaan

63/100

Hanya sandbox

Audit

75/100

Berisiko

Buka audit lengkap Lihat laporan evaluasi

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

Verified installs: —
Hasil: —

Menyalin bukan memasang. Jumlah instalasi memerlukan laporan berhasil dan bukan jaminan kualitas menyeluruh.

Akses agent

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka API pemasangan Format teks LLM Buka Manifest Rencana resolusi otomatis

Detail lainnya

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      "Permission surface needs review: secrets or environment access, shell or command execution",
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    "minimum_review_before_use": [
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      "Audit: 75/100 Risky",
      "Safety: 27/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "datadog-labs-verify-ssi (verify-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-verify-ssi",
      "task": "Use verify-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-verify-ssi",
    "api": "https://www.openagentskill.com/api/agent/skills/datadog-labs-verify-ssi",
    "audit": "https://www.openagentskill.com/skills/datadog-labs-verify-ssi/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=datadog-labs-verify-ssi&task=Use%20verify-ssi%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20verify-ssi%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20verify-ssi%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/datadog-labs-verify-ssi/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/datadog-labs-verify-ssi"
  }
}

Untuk kreator

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator: datadog-labs
Sumber: datadog-labs/agent-skills
Diindeks oleh: Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan datadog-labs, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit berbagi

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/datadog-labs-verify-ssi?metric=listed&label=Listed)](https://www.openagentskill.com/skills/datadog-labs-verify-ssi?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/datadog-labs-verify-ssi?metric=trust&label=Trust)](https://www.openagentskill.com/skills/datadog-labs-verify-ssi?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/datadog-labs-verify-ssi?metric=audit&label=Audit)](https://www.openagentskill.com/skills/datadog-labs-verify-ssi/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/datadog-labs-verify-ssi?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/datadog-labs-verify-ssi?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Pratinjau badge Buka audit Kit kreator

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Ringkasan

Verify APM SSI on Linux

Triggers

Prerequisites

pup-cli: check, install, and authenticate

Claude runs

Claude runs

Claude runs

Context to resolve before acting

Step 1: Confirm the Process is Injected

Claude runs

Claude runs

Step 2: Confirm the Agent is Receiving Traces

Claude runs

Step 3: Confirm the Service is Visible in Datadog

Claude runs

Claude runs

Done

Security constraints

Tinjau sumber

Harga dan biaya penggunaan

Mulai dengan tugas kecil

Sumber dan catatan penggunaan

Akses agent

Skill terkait

Untuk kreator

Diindeks Registry

Klaim listing skill ini

Tambahkan badge bukti ke README Anda

Sinyal komunitas