Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.
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/agent-toolkit-for-aws --skill timestream-influxdbgit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWrote 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/agent-toolkit-for-aws/timestream-influxdb)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/timestream-influxdb"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/timestream-influxdb/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/agent-toolkit-for-aws/timestream-influxdb"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/timestream-influxdb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 100 Subtle instructions detected that may alter agent decision-making or introduce hidden biases.Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
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 | $0.00109 | $0.03229 |
| Opus 5.5 | $0.00044 | $0.01292 |
| Sonnet 5.5 | $0.00022 | $0.00646 |
| Haiku 4.5 | $0.00011 | $0.00323 |
Grade A, and why
timestream-influxdb 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 15d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Timestream for InfluxDB
Overview
Amazon Timestream for InfluxDB is a managed time-series database with engine variants and deployment types whose capabilities differ. Before comparing them, retrieve the Timestream for InfluxDB documentation and inspect the applicable Create API models. For an existing resource, read its GetDbInstance or GetDbCluster response. Use those sources to verify the engine variant, endpoint port, query languages, data model, authentication flow, deployment types, licensing, and Processing Engine support for the user's Region. Do not infer one engine variant's capabilities from another variant or from examples in this skill.
For new workloads, verify the supported engine variants and recommend InfluxDB 3 when the service documentation identifies it as an option. For existing V2 deployments, verify V2 support before advising whether to stay on V2 or migrate.
Advisory in nature: it recommends actions and provides the AWS CLI and API commands to carry them out (including mutations such as instance/cluster creation and tagging). It does not act autonomously — it executes mutations only in response to an explicit user request, never on its own initiative.
Tooling: The AWS MCP server is recommended for streamlined AWS API interactions but is not required. All examples use standard AWS CLI syntax and can run without MCP.
Common Tasks
1. Verify Dependencies
Before any guidance, confirm tooling and engine variant.
Constraints:
- You MUST confirm which engine variant the user runs (V2, V2 Read Replica, or V3) before giving advice specific to that engine variant — APIs and defaults differ.
- You MUST NOT mix V2 APIs (Flux, orgs, buckets, port 8086) with V3 APIs (SQL/InfluxQL, databases, tables, port 8181).
- You MUST verify the AWS CLI (or
call_aws) is available before provisioning guidance. - You MUST inspect the Create API and ask for all required parameters upfront, including engine variant, Region, VPC/subnet IDs, name, instance type, and a supported encryption choice. For production V3 workloads, verify customer-managed KMS key support in that API before recommending it for customer-controlled policy, rotation, revocation, and CloudTrail visibility. Collect an identifier in a form that API accepts.
What ships with it
14 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.
- references/encryption.md 13 KB
- references/getting-started.md 22 KB
- references/migration-guide.md 5.7 KB
- references/monitoring-metrics.md 2.0 KB
- references/monitoring-operations.md 10 KB
- references/processing-engine-guide.md 7.2 KB
- references/s3-vpc-endpoint-troubleshooting.md 1.7 KB
- references/schema-design-guide.md 4.4 KB
- references/security-best-practices.md 6.8 KB
- references/troubleshooting-runbook.md 6.3 KB
- scripts/get_token.sh 1.9 KB runs code
- scripts/health_check.sh 3.2 KB runs code
- scripts/input_validator.py 1.7 KB runs code
- scripts/instance_types.py 2.5 KB runs code
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.
- 15d ago Changed · -92 lines · -25 tokens per session scan B → A d4bca9a71cd7
- 1mo ago First seen · 230 lines · 134 tokens per session scan B 2ef377b1459c
timestream-influxdb is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,886 stars, last pushed yesterday), licensed Apache-2.0. It adds 109 tokens to every session and 3,229 once invoked, about $0.0004 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 2026-09-03.
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