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benthomasson/aws-expert
aws-expert is a machine learning model from benthomasson. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Expert knowledge base for AWS service behavior, defaults, and operational pitfalls. Contains 2,775 justified beliefs covering DynamoDB, CloudTrail, IAM, CloudFormation, RDS, S3, networking, compute, and cross-service…
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Updated May 31, 2026
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From the Hugging Face model README
Expert knowledge base for AWS service behavior, defaults, and operational pitfalls. Contains 2,775 justified beliefs covering DynamoDB, CloudTrail, IAM, CloudFormation, RDS, S3, networking, compute, and cross-service interactions.
This is an External Epistemic Memory (EEM) — a model-agnostic knowledge base that any LLM can use via the reasons CLI or tool calling. Unlike a LoRA or fine-tune, this knowledge is not baked into model weights. It is external, inspectable, correctable, and works with any model.
| Metric | Value |
|---|---|
| Total beliefs | 2,775 |
| Status | 2,775 IN / 0 OUT |
| Premises (observations) | 2,615 |
| Derived (justified conclusions) | 160 |
| Nogoods (contradictions) | 0 |
| Retraction rate | 0% |
| Max derivation depth | 8 |
| Topic | Beliefs |
|---|---|
| dynamodb | 723 |
| cloudtrail | 416 |
| iam | 261 |
| account | 144 |
| rds | 134 |
| cfn | 132 |
| table | 128 |
| lake | 126 |
| default | 125 |
| max | 107 |
| region | 102 |
| backup | 98 |
| vpc | 95 |
| aws | 93 |
| ec2 | 89 |
| policy | 83 |
| data | 82 |
| cross | 80 |
reasons init
reasons import-json network.json
reasons search "DynamoDB capacity billing"
reasons explain lifecycle-transitions-silently-degrade-dr-posture
reasons show cloudtrail-eds-kms-key-irrevocable
Any LLM agent that can call reasons search, reasons show, and reasons explain can use this knowledge base. The agent does not need to be told it is an expert — the knowledge base speaks for itself.
| Node | Summary |
|---|---|
lifecycle-transitions-silently-degrade-dr-posture | Routine feature toggling and DR restores lose configuration state (PITR windows, audit settings) |
cloudtrail-eds-kms-key-irrevocable | Once a KMS key is associated with a CloudTrail Lake event data store, it cannot be changed or removed |
dynamodb-ttl-deletions-not-logged-cloudtrail | DynamoDB TTL data plane deletion actions are NOT logged by CloudTrail |
dynamodb-capacity-billing-penalizes-small-items-disproportionately | DynamoDB capacity billing includes three hidden overhead mechanisms beyond raw item size |
aws-defaults-require-systematic-hardening-across-dimensions | AWS default configurations systematically favor ease-of-use over security across operations |
full-observability-has-hard-ceiling-despite-investment | Even after closing CloudTrail's configurable gaps, fundamental blind spots remain |
dynamodb-global-tables-consistency-mode-immutable | DynamoDB Global Tables consistency mode is set at creation and cannot be changed afterward |
dynamodb-autoscaling-new-gsi-no-auto-scaling | Creating a GSI on an existing DynamoDB table does not auto-enable scaling on the GSI |
cloudtrail-audit-blind-spots-exist-for-automated-operations | Certain automated and system-initiated operations create audit gaps |
protocol-safety-unfalsifiable-under-current-testing | Distributed protocol safety claims are unfalsifiable under the current testing methodology |
Built from exploration of AWS documentation, API behavior, and operational experience across DynamoDB, CloudTrail, IAM, CloudFormation, RDS, S3, EC2, VPC, and 25+ additional AWS services.
| File | Description |
|---|---|
network.json | Full belief network (machine-readable, portable) |
reasons.db | SQLite database (gitignored, regenerate with reasons import-json network.json) |
CLAUDE.md | Agent instructions for using this knowledge base |
entries/ | 655 exploration entries — raw observations behind the premises |
mit