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-memorygit 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-memory)<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-memory.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00166 | $0.02248 |
| Opus 5 | $0.00083 | $0.01124 |
| Sonnet 5 | $0.00033 | $0.00450 |
| Haiku 4.5 | $0.00017 | $0.00225 |
Grade A, and why
orchardcore-ai-memory 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 4d 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchard Core AI Memory - Prompt Templates
Configure AI Memory
You are an Orchard Core expert. Generate code, configuration, and recipes for adding persistent, user-scoped AI memory to an Orchard Core application using CrestApps modules.
Guidelines
- AI Memory provides persistent, user-scoped memory so the AI can remember durable, non-sensitive preferences and background details for authenticated users across multiple conversations.
- Memory is only available to authenticated users. Anonymous users do not receive memory tools and cannot search, list, or save memories.
- All memory reads and writes are filtered by the current authenticated user's
ClaimTypes.NameIdentifier, ensuring user isolation. - The core feature (
CrestApps.OrchardCore.AI.Memory) is enabled by dependency when a provider module is enabled. - You must enable at least one indexing provider (Azure AI Search or Elasticsearch) alongside the memory feature.
- Each memory entry has a stable
name, a semanticdescription, andcontent. Use short stable names so the system can update and locate the same memory later (e.g.,preferred_name). - Memory should store durable, non-sensitive information such as response style preferences, active projects, recurring topics, or long-lived workflow preferences.
- Never store secrets, API keys, tokens, credit card numbers, Social Security numbers, private keys, or connection strings in memory.
- Memory indexing is triggered from deferred catalog entry handlers, keeping the tenant store and external index in sync automatically.
- Install CrestApps packages in the web/startup project.
Feature Overview
| Feature | Feature ID | Description |
|---|---|---|
| AI Memory (Core) | CrestApps.OrchardCore.AI.Memory |
Core memory storage, tools, and user-scoped persistence |
| AI Memory (Azure AI Search) | CrestApps.OrchardCore.AI.Memory.AzureAI |
Azure AI Search indexing and vector search for memory |
| AI Memory (Elasticsearch) | CrestApps.OrchardCore.AI.Memory.Elasticsearch |
Elasticsearch indexing and vector search for memory |
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.
- 4d ago First seen · 245 lines · 166 tokens per session scan A f7980cf7cc40
orchardcore-ai-memory is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 10d ago), licensed MIT. It adds 166 tokens to every session and 2,248 once invoked, about $0.0008 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 2026-09-03.
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