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 easingthemes/dx-aem-flow --skill dx-scangit 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/dx-scan)<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-scan"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-scan/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/dx-scan"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-scan.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 | $0.00058 | $0.03397 |
| Opus 5.5 | $0.00023 | $0.01359 |
| Sonnet 5.5 | $0.00012 | $0.00679 |
| Haiku 4.5 | $0.00006 | $0.00340 |
Grade A, and why
dx-scan 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Scan the actual codebase to discover conventions, then interactively customize .claude/rules/ with real values and generate .ai/project/ seed data files. This is the "teach the AI about YOUR project" step.
Before this skill: /dx-init scaffolds config, /dx-adapt detects type/toolchain, /aem-init sets up AEM. After those, rules still have generic placeholders and seed data is empty.
After this skill: Rules contain real CSS variables, actual component patterns, discovered naming conventions. Seed data describes the architecture, features, and file patterns. Every AI skill benefits from this context.
Prerequisites
.ai/config.yamlmust exist (run/dx-initfirst)project.typemust be set (run/dx-adaptfirst)- For AEM projects:
aem:section must exist (run/aem-initfirst)
If any prerequisite is missing, print which skill to run and STOP.
Argument
Optional phase selector:
phase1— frontend conventions onlyphase2— backend conventions onlyphase3— seed data onlyallor no argument — run all phases
Flow
digraph dx_scan {
"Check prerequisites" [shape=box];
"Prerequisites OK?" [shape=diamond];
"Read config + detect scope" [shape=box];
"Phase 1: Frontend conventions" [shape=box];
"Phase 2: Backend conventions" [shape=box];
"Phase 3: Seed data" [shape=box];
"Summary" [shape=doublecircle];
"STOP — missing prereqs" [shape=doublecircle];
"Check prerequisites" -> "Prerequisites OK?";
"Prerequisites OK?" -> "STOP — missing prereqs" [label="no"];
"Prerequisites OK?" -> "Read config + detect scope" [label="yes"];
"Read config + detect scope" -> "Phase 1: Frontend conventions";
"Phase 1: Frontend conventions" -> "Phase 2: Backend conventions";
"Phase 2: Backend conventions" -> "Phase 3: Seed data";
"Phase 3: Seed data" -> "Summary";
}
Node Details
Check prerequisites
Read .ai/config.yaml. Verify:
- File exists
project.typeis set- If type starts with
aem-: verifyaem:section exists
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 024648937faf
- 1mo ago First seen · 309 lines · 58 tokens per session scan A 61b59b60b37f
dx-scan is a skill published in the GitHub repository easingthemes/dx-aem-flow (6 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 3,397 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 2026-09-03.
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