Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/easingthemes/dx-aem-flownpx agentmods add skills/easingthemes/dx-aem-flow/auto-deployWrote 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-deploy)<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/auto-deploy"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/auto-deploy/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/easingthemes/dx-aem-flow/auto-deploy"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/auto-deploy.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 | $0.00054 | $0.01482 |
| Opus 5.5 | $0.00022 | $0.00593 |
| Sonnet 5.5 | $0.00011 | $0.00296 |
| Haiku 4.5 | $0.00005 | $0.00148 |
Grade A, and why
auto-deploy 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 2d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You deploy Lambda function code for the 2 AI automation agents (wi-router, pr-router). Wraps lambda/deploy.sh with audit logging. Safe to re-run at any time after code changes.
0. Prerequisites
Read .ai/automation/infra.json. Check automationProfile:
- If
consumer(or legacypr-only/pr-delegation): "This repo uses the consumer profile — Lambda functions are managed by the hub project. Do NOT deploy Lambda from this repo." STOP.
source .ai/lib/audit.sh
export AUDIT_LOG_PREFIX=infra
Extract Lambda function names and region from infra.json.
Verify: zip is installed (which zip). If missing: "Install zip: brew install zip (macOS) or apt install zip (Linux)". STOP.
1. Parse Target
Default target: all. If user passed an argument (wi-router, pr-router), use that.
2. Deploy
cd .ai/automation
bash lambda/deploy.sh <target>
The deploy script reads function names and files from infra.json, packages each Lambda + shared libs into a zip, and calls aws_lambda_deploy (audit-wrapped).
Report output from the script.
What ships with the Lambda
The Lambda zip contains only the webhook router code (wi-router.mjs / pr-router.mjs) and shared libs (dedupe.js, dlq.js, rate-limiter.js, aws-sig.js, retry.js). The Lambda's job is to route webhook events to ADO pipelines — it does not run agents.
Agent code, MCP config, and pipeline YAML are not in the Lambda zip. They live in the dx-aem-flow plugin repo and are pulled by each pipeline at runtime:
| Asset | Location | Distributed via |
|---|---|---|
Agent skills (/dx-simple, /dx-pr-review, …) |
plugins/dx-*/skills/ |
Marketplace clone in pipeline YAML (git clone dx-aem-flow.git) |
Pipeline YAML (ado-cli-simple.yml, …) |
plugins/dx-automation/data/pipelines/cli/ |
Imported into ADO once via /auto-pipelines |
Pipeline MCP overrides (simple-mcp.json, …) |
plugins/dx-automation/data/mcp/ |
Marketplace clone — pipeline copies into .mcp.json at runtime |
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.
- 2d ago Changed · +1 lines 63b8884f2d24
- 1mo ago First seen · 120 lines · 54 tokens per session scan A d05620c4368f
auto-deploy is a skill published in the GitHub repository easingthemes/dx-aem-flow (6 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 1,482 once invoked, about $0.0002 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 2026-08-31.
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