Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aws/tools-for-devops-agent --skill agentcore-ops-reviewgit clone --depth 1 https://github.com/aws/tools-for-devops-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aws/tools-for-devops-agent/agentcore-ops-review)<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/agentcore-ops-review"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/agentcore-ops-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/agentcore-ops-review"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/agentcore-ops-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00158 | $0.03674 |
| Opus 5.5 | $0.00063 | $0.01470 |
| Sonnet 5.5 | $0.00032 | $0.00735 |
| Haiku 4.5 | $0.00016 | $0.00367 |
Grade A, and why
agentcore-ops-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bedrock AgentCore Operational Review
Use this skill when performing an operational review of Amazon Bedrock AgentCore resources, investigating agent runtime failures, auditing memory/knowledge pipeline health, or reviewing gateway resilience and resource hygiene.
Overview
This skill provides procedures for a review of AgentCore resources across four check areas mapped to the AWS Well-Architected Framework:
- Runtime Resilience (Reliability) — Failed/stuck runtimes and endpoints, single-AZ VPC placement, endpoint version drift, DEFAULT-endpoint-only deployments
- Gateway Health (Reliability) — Gateway status, target redundancy and health, policy engine attachment, target synchronization freshness
- Memory & Knowledge Effectiveness (Performance Efficiency) — Extraction pipeline errors, empty long-term memory, high ingestion error rate, provisioned-but-never-populated memories
- Resource Utilization & Operational Hygiene (Operational Excellence) — Idle resources, consolidation opportunities, low overall utilization
- Runtime Observability (cross-pillar) — Session counts, invocations, throttles, vCPU-hours, GB-hours per runtime
This is a READ-ONLY review. No modifications are made to any resource, and it never invokes an agent (InvokeAgentRuntime), reads no prompts or responses, and makes no other data-plane calls. One exception: for long-term memories the skill calls bedrock-agentcore:ListMemoryRecords (a data-plane API) solely to obtain a record count. That response can include a content field carrying extracted, potentially PII-bearing memory content; the skill uses only the count and never parses, logs, stores, or reproduces content. See "Memory record data handling" below.
Data Source Boundaries (IMPORTANT — IAM footprint)
The standard AIDevOpsAgentAccessPolicy covers bedrock:* read actions but does NOT include the bedrock-agentcore:* namespace. (Note: bedrock-agentcore-control is the SDK client name, not an IAM prefix — all control-plane actions such as ListAgentRuntimes, GetMemory, and ListGateways authorize under the single service prefix bedrock-agentcore:.) Two modes:
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .skilleval.yaml 390 B
- CHANGELOG.md 2.2 KB
- evals/eval_queries.json 797 B
- evals/evals.json 3.7 KB
- evals/files/agentcore-context.json 342 B
- README.md 12 KB
- references/iam-policy-linked-account.json 1.8 KB
- references/iam-policy-management-account.json 1.8 KB
- references/iam-policy-observability-only.json 545 B
- references/iam-policy.json 642 B
- references/pillar-checks.md 12 KB
- references/report-template.md 6.3 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 29d ago First seen · 189 lines · 158 tokens per session scan A 635cf18d3efa
agentcore-ops-review is a skill published in the GitHub repository aws/tools-for-devops-agent (107 stars, last pushed today), licensed Apache-2.0. It adds 158 tokens to every session and 3,674 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-17.
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