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 CrestApps/CrestApps.AgentSkills --skill orchardcore-ai-usage-analyticsgit clone --depth 1 https://github.com/CrestApps/CrestApps.AgentSkillsWrote 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/crestapps/crestapps.agentskills/orchardcore-ai-usage-analytics)<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-usage-analytics"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-usage-analytics/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/crestapps/crestapps.agentskills/orchardcore-ai-usage-analytics"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-usage-analytics.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 | $0.00224 | $0.02173 |
| Opus 5.5 | $0.00090 | $0.00869 |
| Sonnet 5.5 | $0.00045 | $0.00435 |
| Haiku 4.5 | $0.00022 | $0.00217 |
Grade A, and why
orchardcore-ai-usage-analytics 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 today.
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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchard Core AI Usage Analytics
Every AI client the site creates through IAIClientFactory meters its own requests, whatever the
provider and whatever the kind (chat, embeddings, images, speech-to-text, text-to-speech, realtime). The
AI Usage Analytics page reports those records per model, category and purpose, plus chat completions
and automated voice calls.
Setup
| Item | Value |
|---|---|
| Feature | AI Chat, CrestApps.OrchardCore.AI.Chat |
| Page | Reports > Billing & Usage > AI Usage Analytics (/Admin/AI/UsageAnalytics/Index) |
| Permission | ViewChatAnalytics (granted to Administrator by default) |
| Switch | Enable AI usage tracking under Settings > Artificial Intelligence > General |
Nothing is recorded while tracking is off, and nothing recorded before it was turned on can be reported.
{
"steps": [
{
"name": "Feature",
"enable": [
"CrestApps.OrchardCore.AI.Chat",
"CrestApps.OrchardCore.AI.Chat.Analytics"
],
"disable": []
},
{
"name": "Settings",
"GeneralAISettings": {
"EnableAIUsageTracking": true
}
}
]
}
CrestApps.OrchardCore.AI.Chat.Analytics (AI Chat Session Analytics) registers the usage and voice
summary index tables and the store that persists voice session summaries; without it automated calls leave
no voice summary. The tracking switch is read through IOptionsMonitor<GeneralAIOptions>, so it applies
without a tenant reload.
What the page shows
| Section | Contents | Group by |
|---|---|---|
| Metered usage | One row per request sent to a provider: planning, query rewriting, each tool-calling step, image descriptions and each embedding batch count separately. Cached responses add nothing | Model, Model and category, Model and purpose |
| Completions | Chat completions that belong to a chat session or chat interaction: calls, sessions, interactions, tokens, average latency | User and model, Model, Deployment, AI profile, Connection |
| Voice | One summary per automated AI call: calls, AI, caller and silence minutes, average call, handoff rate, barge-ins, text and audio tokens | Deployment (model), AI profile, Campaign, Channel, Engine, Day |
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.
- today First seen · 194 lines · 224 tokens per session scan A 3b088572ecb1
orchardcore-ai-usage-analytics is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed today), licensed MIT. It adds 224 tokens to every session and 2,173 once invoked, about $0.0009 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 2026-10-22.
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