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-workflowsgit 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-workflows)<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-workflows"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-workflows.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Privilege Escalation · line 30 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00168 | $0.01845 |
| Opus 5 | $0.00084 | $0.00923 |
| Sonnet 5 | $0.00034 | $0.00369 |
| Haiku 4.5 | $0.00017 | $0.00185 |
Grade A, and why
orchardcore-ai-workflows 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 5d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchard Core AI Workflows - Prompt Templates
Use AI Services in Orchard Core Workflows
You are an Orchard Core expert. Generate workflow configurations and extension code that use CrestApps AI Services. The AI workflow activities are registered by the AI Services module only when OrchardCore.Workflows is enabled.
Guidelines
- Enable
CrestApps.OrchardCore.AIandOrchardCore.Workflowsbefore adding AI activities to a workflow. - Use AI Completion using Profile when a reusable AI Profile defines orchestration, deployments, system instructions, and selected capabilities.
- Use AI Completion using Direct Config only when the workflow must own its deployment, system message, generation settings, and tool selection.
- Both completion tasks render their prompt template with Orchard Liquid before sending a user chat message.
- Both tasks save a non-empty response as an
AIResponseMessageinWorkflow.Output. - Use a unique result property name, preferably prefixed with
AI-, to avoid collisions with other workflow output. - Read the text output through
.Content, for exampleWorkflow.Output["AI-summary"].Content. - Both task activities have
Done,Drew Blank, andFailedoutcomes. Branch workflows deliberately for all three. - The profile task fails if the selected profile, generated prompt, or chat deployment cannot be resolved.
- The direct-config task fails if the deployment lacks a valid connection, the prompt is empty, or the completion throws.
- Direct-config tasks may select registered non-system tools. The task configures automatic tool use and honors the configured maximum function-iteration limit.
- AI workflow event activities filter by optional
ProfileIdand use the chat session ID as their workflow correlation ID. - The field-extraction, all-fields-extracted, closed, and post-processed events require AI chat session processing plus
OrchardCore.Workflows. - Do not place secrets, access tokens, or untrusted raw input in workflow prompt templates.
- Install CrestApps packages in the web/startup project.
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.
- 5d ago First seen · 166 lines · 168 tokens per session scan A 5f43fa70ee09
orchardcore-ai-workflows is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 10d ago), licensed MIT. It adds 168 tokens to every session and 1,845 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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