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 agentmods add skills/easingthemes/dx-aem-flow/auto-provisionnpx skills add easingthemes/dx-aem-flow --skill auto-provisiongit clone --depth 1 https://github.com/easingthemes/dx-aem-flowWrote 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/easingthemes/dx-aem-flow/auto-provision)<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/auto-provision"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/auto-provision.svg" alt="Measured on agentmods" 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 | $0.00058 | $0.03545 |
| Opus 5 | $0.00029 | $0.01773 |
| Sonnet 5 | $0.00012 | $0.00709 |
| Haiku 4.5 | $0.00006 | $0.00354 |
Grade A, and why
auto-provision 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 5d 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 — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You create all AWS resources required by the AI automation agents. Everything is audit-logged via audit.sh. All resource names and config come from .ai/automation/infra.json.
0. Prerequisites
Read .ai/automation/infra.json. Check automationProfile:
- If
consumer(or legacypr-only/pr-delegation): "This repo uses the consumer profile — AWS resources are managed by the hub project. Do NOT provision AWS resources from this repo." STOP.
source .ai/lib/audit.sh
export AUDIT_LOG_PREFIX=infra
Extract and display:
region— AWS regionstorage.dynamodb.dedupe.tableName— DynamoDB dedupe table namestorage.dynamodb.rateLimits.tableNamestorage.dynamodb.tokenBudget.tableNamestorage.sqs.dlq.queueNamestorage.s3.bundles.bucketNamemonitoring.snsTopic.namelambdas.wi-router.functionName,lambdas.pr-router.functionNameapiGateway.name
Confirm: "Ready to create these resources in <region>. Proceed?"
1. DynamoDB Tables
Create 3 tables (skip if already exists — catch ResourceInUseException):
# Dedupe table (TTL-enabled)
aws_resource "dynamodb/<dedupe-table>" \
aws dynamodb create-table \
--table-name "<prefix>-dedupe" \
--attribute-definitions AttributeName=eventId,AttributeType=S \
--key-schema AttributeName=eventId,KeyType=HASH \
--billing-mode PAY_PER_REQUEST \
--region "$REGION"
aws_resource "dynamodb/<dedupe-table>/ttl" \
aws dynamodb update-time-to-live \
--table-name "<prefix>-dedupe" \
--time-to-live-specification Enabled=true,AttributeName=ttl \
--region "$REGION"
# Rate limits table (pk + sk composite key)
aws_resource "dynamodb/<rate-limits-table>" \
aws dynamodb create-table \
--table-name "<prefix>-rate-limits" \
--attribute-definitions AttributeName=pk,AttributeType=S AttributeName=sk,AttributeType=S \
--key-schema AttributeName=pk,KeyType=HASH AttributeName=sk,KeyType=RANGE \
--billing-mode PAY_PER_REQUEST \
--region "$REGION"
# Token budget table (pk + sk composite key)
aws_resource "dynamodb/<token-budget-table>" \
aws dynamodb create-table \
--table-name "<prefix>-token-budget" \
--attribute-definitions AttributeName=pk,AttributeType=S AttributeName=sk,AttributeType=S \
--key-schema AttributeName=pk,KeyType=HASH AttributeName=sk,KeyType=RANGE \
--billing-mode PAY_PER_REQUEST \
--region "$REGION"
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.
- 5d ago First seen · 356 lines · 58 tokens per session scan A 6dcc7cbcf500
auto-provision is a skill published in the GitHub repository easingthemes/dx-aem-flow (6 stars, last pushed 4d ago), licensed MIT. It adds 58 tokens to every session and 3,545 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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