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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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价格未确认★ 165 GitHub Stars目录更新于 · 2026年9月6日agent-skill

概览

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.

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

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

VariableHow to resolve
DD_HOSTNAMEHostname as Datadog sees it — from sudo datadog-agent status output
SERVICE_NAMEExpected service name in APM — ask the user
ENVEnvironment tag — ask the user
DD_SITEgrep "^site:" /etc/datadog-agent/datadog.yaml via SSH, or ask the user
SSH_KEYPath to SSH private key
SSH_USERSSH username
SSH_HOSTHostname 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
查看来源 ↗
文件元数据
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"
查看原始文本
---
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

查看并核实来源

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来源需要复核

已跟踪的来源发生变化或同步失败，请在安装前复核当前来源。

安装前审查: 避免自动安装

许可证: 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
打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

  1. 1阅读来源，确认输入、预期输出、依赖和权限。
  2. 2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
  3. 3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库
datadog-labs/agent-skills
许可证
MIT
版本
1.0.0
最近 GitHub 推送
2026年8月26日
目录更新于
2026年9月6日
技能指令路径
dd-apm/linux-ssi/verify-ssi/SKILL.md @ 157edafdc100

版本来自目录元数据，使用前请核实来源发布记录。

质量

66/100

有潜力

信任

63/100

仅限沙盒

审计

75/100

高风险

打开完整审计查看评估报告
  • 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
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  "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 verify-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: 71/100 Manual review",
      "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"
  }
}

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[![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)
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