UModel Root Cause Analysis
alibaba/UnifiedModel
Investigates a service incident to its root cause by querying a UModel object graph alongside metrics, logs, topology and recent deployments.
Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace agent reasoning, detect silent failures, and measure performance before an outage.
$ npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws/tools-for-devops-agent agentcore-observability-setup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "agentcore-observability-setup" agent skill from https://github.com/aws/tools-for-devops-agent/tree/main/skills/agentcore-observability-setup into .claude/skills/agentcore-observability-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentcore-observability-setup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aws/tools-for-devops-agent/tree/main/skills/agentcore-observability-setupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws/tools-for-devops-agent agentcore-observability-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/tools-for-devops-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agentcore-observability-setup .agents/skills/agentcore-observability-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentcore-observability-setup" agent skill from https://github.com/aws/tools-for-devops-agent/tree/main/skills/agentcore-observability-setup into .agents/skills/agentcore-observability-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentcore-observability-setup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws/tools-for-devops-agent agentcore-observability-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/tools-for-devops-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agentcore-observability-setup .cursor/skills/agentcore-observability-setup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agentcore-observability-setup" agent skill from https://github.com/aws/tools-for-devops-agent/tree/main/skills/agentcore-observability-setup into .cursor/skills/agentcore-observability-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentcore-observability-setup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aws/tools-for-devops-agent.git --path skills/agentcore-observability-setup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws/tools-for-devops-agent agentcore-observability-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/tools-for-devops-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agentcore-observability-setup .gemini/skills/agentcore-observability-setup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agentcore-observability-setup" agent skill from https://github.com/aws/tools-for-devops-agent/tree/main/skills/agentcore-observability-setup into .gemini/skills/agentcore-observability-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentcore-observability-setup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aws/tools-for-devops-agent agentcore-observability-setupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws/tools-for-devops-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agentcore-observability-setup .github/skills/agentcore-observability-setup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agentcore-observability-setup" agent skill from https://github.com/aws/tools-for-devops-agent/tree/main/skills/agentcore-observability-setup into .github/skills/agentcore-observability-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentcore-observability-setup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws/tools-for-devops-agent --skill agentcore-observability-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws/tools-for-devops-agent agentcore-observability-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/tools-for-devops-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agentcore-observability-setup .opencode/skills/agentcore-observability-setup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agentcore-observability-setup" agent skill from https://github.com/aws/tools-for-devops-agent/tree/main/skills/agentcore-observability-setup into .opencode/skills/agentcore-observability-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentcore-observability-setup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agentcore-observability-setupValidates 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. 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ddda70b. It shows what the files ask for, not the result of running them.
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.
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.
Links to these hosts (documentation or services it may open):
docs.aws.amazon.comaws-otel.github.ioconsole.aws.amazon.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.
.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.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.
Verify where reachable; prescribe everywhere else. Every check is exactly one of:
This skill is read-only. It validates and generates configuration/commands. The customer decides whether to apply them. Never mutate IAM, resources, or configuration.
Activate when the user asks to:
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.
| Tier | Permissions | Unlocks |
|---|---|---|
| 1 — Standard (default DA IAM) | logs:DescribeLogGroups, logs:FilterLogEvents, logs:GetLogEvents, logs:StartQuery, logs:GetQueryResults, cloudwatch:GetMetricData, cloudwatch:ListMetrics, cloudwatch:DescribeAlarms | Telemetry-arrival verification for any host |
| 2 — Runtime config | bedrock-agentcore:GetAgentRuntime, bedrock-agentcore:ListAgentRuntimes, xray:GetTraceSegmentDestination, logs:DescribeDeliveries, logs:DescribeDeliverySources, logs:DescribeDeliveryDestinations, logs:DescribeResourcePolicies | Runtime tracing/env, Transaction Search state, Memory/Gateway delivery, X-Ray resource policy |
| 3 — Non-runtime host | lambda:GetFunctionConfiguration; ecs:DescribeTaskDefinition, ecs:DescribeServices, ecs:ListTasks; eks:DescribeCluster | Host-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.
Host detection:
bedrock-agentcore:GetAgentRuntime / bedrock-agentcore:ListAgentRuntimes (Tier 2). If absent, ask the user.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 / Surface | Expected outcome |
|---|---|
| Runtime agent | Verify (Tier 1+2) + Prescribe |
| Memory resource | Verify delivery + tracing (Tier 2) + Prescribe |
| Gateway resource | Verify delivery + tracing (Tier 2) + Prescribe |
| Built-in tools | Prescribe; verify telemetry-arrival where present |
| Lambda | Verify host config (Tier 3) + Prescribe |
| ECS | Verify host config (Tier 3) + Prescribe |
| EKS | Verify telemetry arrival (Tier 1) + Prescribe config (pod env is K8s-RBAC-gated, not IAM-verifiable) |
| On-prem / multi-cloud | Prescribe only |
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.
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).references/remediation-runtime.md).logs:DescribeLogGroups prefix /aws/bedrock-agentcore/runtimes/. Missing → HIGH.logs:FilterLogEvents on the runtime log stream in the last 24h. No recent events after invocations → HIGH.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).cloudwatch:ListMetrics namespace bedrock-agentcore. Absent → MEDIUM.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.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.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.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).put_delivery_source/put_delivery_destination/create_delivery SDK sequence (see references/remediation-memory-gateway.md).X-Amzn-Trace-Id, traceparent) on the tool APIs.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:DescribeTaskDefinition → container env carries the OTEL variable set (see 3.6). Gaps → HIGH.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.
Produce a shareable artifact named agentcore-observability-review-<target>-<YYYY-MM-DD>.md
(<target> = agent/runtime id or a user-supplied label).
Sections:
# | Check | Type (VERIFY/PRESCRIBE) | Severity | Current state | Expected | Remediation.references/ file).| Severity | Definition |
|---|---|
| CRITICAL | Observability is broken — telemetry cannot flow (e.g. Transaction Search disabled, no spans despite invocations). |
| HIGH | Significant gap — a required piece is missing (log group, delivery, resource policy, host env). |
| MEDIUM | Notable gap — metrics/traces partially configured or best-practice not met. |
| LOW | Minor hardening or optimization. |
| INFO | Observation, no action required. |
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
SKILL.md and 11 other files (references) in skills/agentcore-observability-setup of aws/tools-for-devops-agent.
Open the folder on GitHubat commit ddda70b
Agentcore Observability Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agentcore Observability Setup this skillaws/tools-for-devops-agent | 100 | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | |
| UModel Root Cause Analysisalibaba/UnifiedModel | 412 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Monitoringericrisco/rsc-harness | 167 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Observabilityericrisco/rsc-harness | 167 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Motel Debugkitlangton/motel | 298 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Tempsgotempsh/temps | 826 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
alibaba/UnifiedModel
Investigates a service incident to its root cause by querying a UModel object graph alongside metrics, logs, topology and recent deployments.
ericrisco/rsc-harness
A skill your agent uses when setting up uptime and health monitoring, alerts, or on-call basics for a service already in production, so you learn it is down before customers do — health and…
ericrisco/rsc-harness
A skill your agent uses when instrumenting a service from the inside so an incident can be explained from telemetry alone — wiring OpenTelemetry logs, metrics and traces, standing up a Collector…
kitlangton/motel
Debug applications with motel, a local OpenTelemetry ingest and query server.
gotempsh/temps
Manage, deploy, operate, and instrument applications with Temps.
vivekchand/clawmetry
Give the human an off switch and a cost meter for the coding agents on this machine, using ClawMetry.
aws/tools-for-devops-agent
Amazon SageMaker AI Operational Review. An agent skill from aws/tools-for-devops-agent.
aws/tools-for-devops-agent
A skill your agent uses for GPU training or inference clusters on SageMaker HyperPod (Slurm or EKS), ParallelCluster, or self-managed EC2/EKS GPU instances.
aws/tools-for-devops-agent
ALWAYS use this skill in the beginning of any incident investigation, root cause analysis, or operational troubleshooting.
aws/tools-for-devops-agent
AWS Database Migration Service (DMS) operational review and troubleshooting skill.
aws/tools-for-devops-agent
Performs a comprehensive Amazon ECS operations review across the 6 review pillars (Resiliency & HA, Observability, Security, Operations, Performance, Additional Analysis) using read-only AWS APIs…
aws/tools-for-devops-agent
Comprehensive Amazon RDS and Aurora operational review aligned with the AWS Well-Architected Framework and RDS/Aurora best practices.
Works with
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Agentcore Observability Setup is instructions for the agent only. Our summary lists: Python 3.
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.
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.
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.
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.
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.
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.