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-estimategit 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-estimate)<a href="https://agentmods.dev/skills/easingthemes/dx-aem-flow/dx-estimate"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-estimate/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-estimate"><img src="https://agentmods.dev/badge/skills/easingthemes/dx-aem-flow/dx-estimate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Prompt Injection · line 166 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 212 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00059 | $0.03059 |
| Opus 5.5 | $0.00024 | $0.01224 |
| Sonnet 5.5 | $0.00012 | $0.00612 |
| Haiku 4.5 | $0.00006 | $0.00306 |
Grade A, and why
dx-estimate 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Defaults
Read shared/provider-config.md for provider detection and tool mapping.
Read .ai/config.yaml:
tracker.provider(orscm.providerfor backward compat) —ado(default) orjira
If provider = ado:
- Organization:
scm.org - Project:
scm.project
If provider = jira:
- Jira URL:
jira.url - Project Key:
jira.project-key
You are a coordinator. You do NOT implement anything yourself. You delegate each analysis step to a subagent via the Agent tool, then synthesize results and post an estimation comment.
Argument
The argument is one work item ID — a numeric ADO ID (e.g., 2435084) or a Jira issue key.
If the user provides a full ADO URL like https://dev.azure.com/{org}/{project}/_workitems/edit/{id}, extract the numeric ID.
If no argument is provided, ask the user for the work item ID.
If more than one ID is given, estimate the first and tell the user to run /dx-estimate <id> once per remaining story. There is no batch mode: this skill has disable-model-invocation, so subagents cannot run it.
Execution Order
Step 1: fetch → raw-story.md
Step 2: explain → explain.md
Step 3: research → research.md
Step 4: synthesize estimation + post ADO comment
Idempotent by default: Steps 1-3 check if output files already exist and are still valid before regenerating. Step 4 checks for an existing estimation comment (by signature) and updates it instead of duplicating.
Instructions
1. Dispatch steps 1–3 sequentially
For each step, use the Skill tool to invoke the skill in a fork. Wait for each to return before starting the next.
Step 1 — Fetch:
Invoke /dx-req <id> (Phase 1 only — fetch)
Print: Step 1/4 done — followed by the summary.
Step 2 — Explain:
Invoke /dx-req <id> (Phase 3 only — explain)
Print: Step 2/4 done — followed by the summary.
Step 3 — Research:
Invoke /dx-req <id> (Phase 4 only — research)
Print: Step 3/4 done — followed by the summary.
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 · -26 lines · -10 tokens per session 85b9a1635178
- 19d ago Changed · +1 lines afc464edec62
- 1mo ago Changed · +69 tokens per session 41fb3a92edaf
- 1mo ago First seen · 327 lines · 0 tokens per session scan A cf3b8689be99
dx-estimate is a skill published in the GitHub repository easingthemes/dx-aem-flow (6 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 3,059 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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