Official agent skill

Agentcore Observability Setup

by aws in aws/tools-for-devops-agent

Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before an outage.

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Agentcore Observability Setup

skills CLI
$ npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aws/tools-for-devops-agent agentcore-observability-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aws/tools-for-devops-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agentcore-observability-setup .claude/skills/agentcore-observability-setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agentcore-observability-setup
GitHub stars
100
Token cost
~3.4k tokens
SKILL.md length
1,308 words
Files
12 (incl. references)
Skills in repo
31
Repo updated
First seen
Licence
Apache-2.0

At a glance

Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before an outage.

  • Works in 4 steps: Detect Permission Tier → Determine Scope (Host & Surface) → Run Checks → …
  • A user asks to check
  • SKILL.md covers Operating Principle, When to Use, Step 1: Detect Permission Tier and Step 2: Determine Scope (Host…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agentcore Observability Setup is an agent skill from aws/tools-for-devops-agent, published by the product's own GitHub organization. Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before an outage. Use this skill when a user asks to check, validate, audit, verify, fix, or set up AgentCore observability, tracing, metrics, or logging - for example "is AgentCore observability configured correctly", "why can't I see traces for my agent", "my Bedrock agent has no spans in CloudWatch", "validate agent monitoring", "AgentCore observability…

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `.skilleval.yaml`, `CHANGELOG.md` and `README.md`).

It sits in DevOps & Cloud, covering Observability, Incident response and Cloud architecture. It works with Amazon Bedrock and OpenTelemetry. The repository describes itself as: Open-source tools for AWS DevOps Agent - extend DevOps Agent with ready-to-use skills, custom agents, and other tools, for incident response, root cause analysis, and operational…. The licence is Apache-2.0.

When your agent uses it

  • A user asks to check
  • Set up AgentCore observability
  • Logging - for example is AgentCore observability configured correctly
  • Why cant I see traces for my agent

Example prompts

  • “is AgentCore observability configured correctly”
  • “why can”
  • “my Bedrock agent has no spans in CloudWatch”
  • “/agentcore-observability-setup”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Detect Permission Tier
  2. Determine Scope (Host & Surface)
  3. Run Checks
  4. Generate the Readiness Report

What it can do on your machine

Read from SKILL.md and the folder at commit ddda70b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.aws.amazon.com
    • aws-otel.github.io
    • console.aws.amazon.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agentcore Observability Setup loads about 3.4k tokens when it runs, and up to ~8.4k if it reads all its reference files. Until then it costs about 236 tokens; SKILL.md has 1,308 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~236
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aws/tools-for-devops-agent at commit ddda70b, republished under its Apache-2.0 licence (© aws). 1,308 words, ~3,367 tokens.

Download SKILL.mdSave it as .claude/skills/agentcore-observability-setup/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
agentcore-observability-setup
description
Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before an outage. Use this skill when a user asks to check, validate, audit, verify, fix, or set up AgentCore observability, tracing, metrics, or logging - for example "is AgentCore observability configured correctly", "why can't I see traces for my agent", "my Bedrock agent has no spans in CloudWatch", "validate agent monitoring", "AgentCore observability readiness", or "set up OTEL for my agent". Covers AgentCore Runtime agents, Memory and Gateway resources, built-in tools, and agents hosted outside the runtime (Lambda, ECS, EKS, on-prem, multi-cloud). Verifies what is reachable via read-only CloudWatch, X-Ray, and AgentCore control-plane APIs, and prescribes exact remediation for gaps it cannot directly read such as code-level OTEL instrumentation.
metadata.author
vggargav
metadata.version
1.0.0
metadata.aws-devops-agent-skills.agent-t
Chat tasks, Evaluation
metadata.aws-devops-agent-skills.aws-ser
Amazon Bedrock AgentCore, Amazon CloudWatch, AWS X-Ray
metadata.aws-devops-agent-skills.technic
AI/ML, Observability

AgentCore Observability Setup & Validation

Validate and bootstrap observability for Amazon Bedrock AgentCore workloads, aligned with the AgentCore observability documentation. Produce a readiness report that states, per check, what is configured vs. what should be, and generate the exact remediation for every gap.

Operating Principle

Verify where reachable; prescribe everywhere else. Every check is exactly one of:

  • VERIFY — confirmable through a read-only API (log group exists, data arriving, spans flowing, Transaction Search enabled, tracing toggle, delivery configured).
  • PRESCRIBE — cannot be read directly (code-level OTEL instrumentation in the agent's source). Validate the effect (are spans arriving?) and emit the exact steps. Do not claim to read source code.

This skill is read-only. It validates and generates configuration/commands. The customer decides whether to apply them. Never mutate IAM, resources, or configuration.

When to Use

Activate when the user asks to:

  • Check / validate / audit whether AgentCore observability is configured correctly
  • Diagnose missing traces, spans, metrics, or logs for a Bedrock agent
  • Set up or bootstrap observability (tracing, metrics, logging) for an agent
  • Run an AgentCore observability readiness review
  • Understand why agent telemetry isn't appearing in CloudWatch GenAI Observability

Step 1: Detect Permission Tier

This skill degrades gracefully based on which read-only permissions the DevOps Agent role holds. Detect the tier by attempting calls and noting failures; run the checks the tier allows and report what to add to unlock the rest. Never attempt to modify IAM.

TierPermissionsUnlocks
1 — Standard (default DA IAM)logs:DescribeLogGroups, logs:FilterLogEvents, logs:GetLogEvents, logs:StartQuery, logs:GetQueryResults, cloudwatch:GetMetricData, cloudwatch:ListMetrics, cloudwatch:DescribeAlarmsTelemetry-arrival verification for any host
2 — Runtime configbedrock-agentcore:GetAgentRuntime, bedrock-agentcore:ListAgentRuntimes, xray:GetTraceSegmentDestination, logs:DescribeDeliveries, logs:DescribeDeliverySources, logs:DescribeDeliveryDestinations, logs:DescribeResourcePoliciesRuntime tracing/env, Transaction Search state, Memory/Gateway delivery, X-Ray resource policy
3 — Non-runtime hostlambda:GetFunctionConfiguration; ecs:DescribeTaskDefinition, ecs:DescribeServices, ecs:ListTasks; eks:DescribeClusterHost-side config verification for Lambda / ECS / EKS

If Tier 2/3 permissions are absent, tell the user the check is prescriptive-only here and give the exact scoped inline policy to attach to the DevOps Agent role (see references/iam-tiers.md) so a re-run can verify it. The shared managed policy is cross-tenant and must not be modified per-skill.

Step 2: Determine Scope (Host & Surface)

Host detection:

  • Runtime — auto-detect with bedrock-agentcore:GetAgentRuntime / bedrock-agentcore:ListAgentRuntimes (Tier 2). If absent, ask the user.
  • Non-runtime — the agent cannot reliably auto-detect the host. Ask: "Is the agent on Lambda, ECS, EKS, or on-prem/another cloud?"

Surfaces to assess (ask which apply, or discover via Tier 2 List*): Runtime agents · Memory resources · Gateway resources · Built-in tools (code interpreter, browser) · non-runtime host.

Outcome matrix:

Host / SurfaceExpected outcome
Runtime agentVerify (Tier 1+2) + Prescribe
Memory resourceVerify delivery + tracing (Tier 2) + Prescribe
Gateway resourceVerify delivery + tracing (Tier 2) + Prescribe
Built-in toolsPrescribe; verify telemetry-arrival where present
LambdaVerify host config (Tier 3) + Prescribe
ECSVerify host config (Tier 3) + Prescribe
EKSVerify telemetry arrival (Tier 1) + Prescribe config (pod env is K8s-RBAC-gated, not IAM-verifiable)
On-prem / multi-cloudPrescribe only

Step 3: Run Checks

Assign each finding a severity (CRITICAL / HIGH / MEDIUM / LOW / INFO) and a type (VERIFY / PRESCRIBE). The complete check catalog with APIs, log-group patterns, and pass/fail logic is in references/checks-catalog.md. Summary below.

3.1 Account prerequisite — CloudWatch Transaction Search (all hosts)
  • VERIFY (Tier 2): xray:GetTraceSegmentDestination → destination must be CloudWatchLogs and status ACTIVE. If XRay/inactive, Transaction Search is not enabled → CRITICAL (spans will not be delivered to CloudWatch Logs; this is the single most common silent root cause).
  • VERIFY (Tier 1 fallback): if the destination API is unavailable, infer from whether span log streams are receiving data (below). Report as inferred, not confirmed.
  • PRESCRIBE: enable Transaction Search and ingest spans as structured logs (see references/remediation-runtime.md).
3.2 Runtime agent path (start here — primary surface)
  1. Agent log group exists (VERIFY, Tier 1): logs:DescribeLogGroups prefix /aws/bedrock-agentcore/runtimes/. Missing → HIGH.
  2. Logs arriving (VERIFY, Tier 1): logs:FilterLogEvents on the runtime log stream in the last 24h. No recent events after invocations → HIGH.
  3. Spans flowing (VERIFY, Tier 1): check the spans log stream in the agent's log group (unified destination) or the shared aws/spans log group. No spans despite invocations → CRITICAL (points to Transaction Search disabled or missing instrumentation).
  4. Session metrics emitting (VERIFY, Tier 1): cloudwatch:ListMetrics namespace bedrock-agentcore. Absent → MEDIUM.
  5. Runtime tracing / span destination (VERIFY, Tier 2): bedrock-agentcore:GetAgentRuntime → inspect env for UNIFIED_TRACES_DESTINATION_ENABLED and DISABLE_ADOT_OBSERVABILITY. Starting 2026-07-20, newly created agents in supported AWS Regions default to the unified span destination (the agent's own log group) — UNIFIED_TRACES_DESTINATION_ENABLED=false is now the opt-out. Agents created before that date remain on shared aws/spans unless opted in. If ADOT observability disabled unintentionally → HIGH.
  6. X-Ray resource policy on log group (VERIFY, Tier 2): logs:DescribeResourcePolicies — must allow xray.amazonaws.com to logs:PutLogEvents on the agent's log group. Applies by default for agents created after 2026-07-20 in supported Regions, since unified span destination is the new default (per the AgentCore release notes). Mark N/A only when the agent was created before 2026-07-20 and still delivers to shared aws/spans, or the customer has explicitly opted out via UNIFIED_TRACES_DESTINATION_ENABLED=false. Missing → HIGH.
  7. Code-level instrumentation (PRESCRIBE): cannot read source. If spans are absent, prescribe: aws-opentelemetry-distro>=0.10.0 (≥0.18.0 for unified span destination) + boto3 in requirements.txt; launch with opentelemetry-instrument python main.py (container CMD ["opentelemetry-instrument","python","main.py"]); framework tracing enabled (e.g. Strands tracer, opentelemetry-instrumentation-langchain); session id via X-Amzn-Bedrock-AgentCore-Runtime-Session-Id.
Show full SKILL.md (463 more words)Show less
3.3 Memory & Gateway resources
  • VERIFY (Tier 2): logs:DescribeDeliveries / DescribeDeliverySources / DescribeDeliveryDestinations for an APPLICATION_LOGS source on the resource ARN and a TRACES→XRAY delivery. Default log group /aws/vendedlogs/bedrock-agentcore/{memory|gateway}/APPLICATION_LOGS/{resource-id}. No delivery → HIGH (no logs), MEDIUM (no traces).
  • PRESCRIBE: console log-delivery + tracing toggle, or the put_delivery_source/put_delivery_destination/create_delivery SDK sequence (see references/remediation-memory-gateway.md).
3.4 Built-in tools (code interpreter, browser)
  • PRESCRIBE-first: no service logs by default. Prescribe custom log output + a log destination, and custom headers (X-Amzn-Trace-Id, traceparent) on the tool APIs.
  • VERIFY (Tier 1): if the customer emits logs, confirm the target log group is receiving data.
3.5 Non-runtime hosts
  • Lambda (VERIFY, Tier 3): lambda:GetFunctionConfiguration → OTEL Layer present and AWS_LAMBDA_EXEC_WRAPPER=/opt/otel-instrument; agent log group env vars set. Gaps → HIGH. Note: Lambda uses the Layer, not the aws-opentelemetry-distro package.
  • ECS (VERIFY, Tier 3): ecs:DescribeTaskDefinition → container env carries the OTEL variable set (see 3.6). Gaps → HIGH.
  • EKS (VERIFY telemetry only, Tier 1): confirm the agent log group is receiving data. Pod/ConfigMap env is governed by Kubernetes RBAC and is not verifiable via IAM — prescribe config and report the pod-env checks as prescriptive.
  • On-prem / multi-cloud (PRESCRIBE only): outside DA reach. Emit the full setup.
3.6 Non-runtime OTEL environment (PRESCRIBE / verify where host config is readable)

Required variables (per docs): AGENT_OBSERVABILITY_ENABLED=true, OTEL_PYTHON_DISTRO=aws_distro, OTEL_PYTHON_CONFIGURATOR=aws_configurator, OTEL_RESOURCE_ATTRIBUTES (service.name, aws.log.group.names, cloud.resource_id), OTEL_EXPORTER_OTLP_LOGS_HEADERS, OTEL_EXPORTER_OTLP_TRACES_HEADERS (optional unified spans; needs ADOT ≥0.18.0 + X-Ray log-group resource policy), OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf, OTEL_TRACES_EXPORTER=otlp. Full block with Lambda-specific vars in references/remediation-non-runtime.md. ADOT Collector is not supported — use the ADOT SDK or the Lambda Layer only.

Step 4: Generate the Readiness Report

Produce a shareable artifact named agentcore-observability-review-<target>-<YYYY-MM-DD>.md (<target> = agent/runtime id or a user-supplied label).

Sections:

  • Header — account, region, host, surfaces assessed, permission tier reached, date.
  • Executive summary — ✅ READY / ⚠️ GAPS / ❌ NOT CONFIGURED; finding counts by severity; top 3 items.
  • Findings — table: # | Check | Type (VERIFY/PRESCRIBE) | Severity | Current state | Expected | Remediation.
  • Remediation — concrete, copy-pasteable config/commands per gap (link the relevant references/ file).
  • Permissions to unlock more checks — the exact scoped inline policy JSON for any tier not reached.
  • Limitations — code-level instrumentation is prescriptive; EKS pod env not IAM-verifiable; on-prem/multi-cloud prescribe-only; read-only (customer applies changes).
  • Appendix — reference links.

Severity Definitions

SeverityDefinition
CRITICALObservability is broken — telemetry cannot flow (e.g. Transaction Search disabled, no spans despite invocations).
HIGHSignificant gap — a required piece is missing (log group, delivery, resource policy, host env).
MEDIUMNotable gap — metrics/traces partially configured or best-practice not met.
LOWMinor hardening or optimization.
INFOObservation, no action required.

Reference Files

  • references/checks-catalog.md — full per-check catalog (API, logic, severity, VERIFY/PRESCRIBE).
  • references/iam-tiers.md — the three read-only tiers + ready-to-attach scoped inline policy JSON.
  • references/remediation-runtime.md — Transaction Search, runtime tracing, ADOT, X-Ray resource policy.
  • references/remediation-memory-gateway.md — log delivery + tracing (console + SDK).
  • references/remediation-non-runtime.md — Lambda / ECS / EKS / on-prem OTEL env and setup.

© aws, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (references) in skills/agentcore-observability-setup of aws/tools-for-devops-agent.

  • SKILL.md
  • .skilleval.yaml
  • CHANGELOG.md
  • README.md
  • evals/eval_queries.json
  • evals/evals.json
  • evals/files/agent-context.json
  • references/checks-catalog.md
  • references/iam-tiers.md
  • references/remediation-memory-gateway.md
  • references/remediation-non-runtime.md
  • references/remediation-runtime.md

Open the folder on GitHubat commit ddda70b

Compare with similar skills

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Agentcore Observability Setup compared with similar skills
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Monitoringericrisco/rsc-harness167—~3.1kAutomated safety check: PassMIT
Observabilityericrisco/rsc-harness167—~3.8kAutomated safety check: PassMIT
Motel Debugkitlangton/motel298—~2.2kAutomated safety check: PassMIT
Tempsgotempsh/temps826—~1.9kAutomated safety check: PassApache-2.0

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Categories

Questions about Agentcore Observability Setup

What does Agentcore Observability Setup do?

Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before an outage. Agentcore Observability Setup is an agent skill from aws/tools-for-devops-agent, published by the product's own GitHub organization. Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before an outage.

When should I use Agentcore Observability Setup?

Agentcore Observability Setup fits situations like: A user asks to check; set up AgentCore observability; logging - for example is AgentCore observability configured correctly; why cant I see traces for my agent.

How do I install Agentcore Observability Setup in Claude Code?

Run `npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a claude-code`. Or copy the skill folder (skills/agentcore-observability-setup in aws/tools-for-devops-agent) into .claude/skills/agentcore-observability-setup in your project. Claude Code loads it when a task matches its description.

How do I install Agentcore Observability Setup in Codex?

Run `npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a codex`. Or copy the skill folder (skills/agentcore-observability-setup in aws/tools-for-devops-agent) into .agents/skills/agentcore-observability-setup in your project. Codex loads it when a task matches its description.

Can I use Agentcore Observability Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentcore-observability-setup, .gemini/skills/agentcore-observability-setup, .github/skills/agentcore-observability-setup and .opencode/skills/agentcore-observability-setup in your project.

What does Agentcore Observability Setup need to run?

SKILL.md names no scripts, command-line tools or credentials: Agentcore Observability Setup is instructions for the agent only. Our summary lists: Python 3.

Does Agentcore Observability Setup access the network?

SKILL.md names 3 domains. As links in the text: docs.aws.amazon.com, aws-otel.github.io and console.aws.amazon.com. This is read from the text; nothing was executed.

Is Agentcore Observability Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agentcore Observability Setup use?

Agentcore Observability Setup is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentcore Observability Setup use?

About 3.4k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.

What are the alternatives to Agentcore Observability Setup?

Skills that share tags, products or a category with Agentcore Observability Setup: UModel Root Cause Analysis (alibaba/UnifiedModel, 412 stars), Monitoring (ericrisco/rsc-harness, 167 stars), Observability (ericrisco/rsc-harness, 167 stars) and Motel Debug (kitlangton/motel, 298 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentcore Observability Setup?

aws (a GitHub organization, an official publisher) maintains it in aws/tools-for-devops-agent, which has 100 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 8, 2026.

Source: aws/tools-for-devops-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.