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 agentmods add commands/agentic-insights/foundry/baml-schemagit clone --depth 1 https://github.com/Agentic-Insights/foundryWhat 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 | $0.00012 | $0.00641 |
| Opus 5 | $0.00006 | $0.00320 |
| Sonnet 5 | $0.00002 | $0.00128 |
| Haiku 4.5 | $0.00001 | $0.00064 |
Grade A, and why
baml-schema 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visualize/Design BAML Schema
Create or visualize BAML schemas with mermaid diagrams.
Modes
Visualize Existing Schema
If $ARGUMENTS is a file path or function name:
- Read the schema
- Generate mermaid class diagram
- Show relationships between types
Design New Schema
If $ARGUMENTS describes a data extraction task:
- Analyze requirements
- Design appropriate BAML types
- Create mermaid visualization
- Generate complete BAML code
Visualization Output
For a schema like:
class Invoice {
vendor Company
line_items LineItem[]
total float
}
class Company {
name string
address string
}
class LineItem {
description string
quantity int
price float
}
Generate:
classDiagram
class Invoice {
+Company vendor
+LineItem[] line_items
+float total
}
class Company {
+string name
+string address
}
class LineItem {
+string description
+int quantity
+float price
}
Invoice --> Company : vendor
Invoice --> LineItem : line_items
Design Mode
If $ARGUMENTS describes a task like "extract meeting notes":
-
Ask clarifying questions (if needed):
- What fields are required?
- Are there optional fields?
- Any validation rules?
-
Generate schema:
class ActionItem {
assignee string
task string
due_date string?
}
class MeetingNotes {
title string
date string
attendees string[]
action_items ActionItem[]
}
- Generate function:
function ExtractMeetingNotes(transcript: string) -> MeetingNotes {
client GPT4
prompt #"
Extract meeting notes:
{{ transcript }}
{{ ctx.output_format }}
"#
}
- Generate test:
test MeetingTest {
functions [ExtractMeetingNotes]
args {
transcript "Meeting on Jan 15..."
}
}
Arguments
$ARGUMENTS can be:
- File path:
/baml-schema baml_src/invoice.baml - Function name:
/baml-schema ExtractInvoice - Task description:
/baml-schema extract receipt data from images - Empty: Visualize all schemas in 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.
- 2d ago First seen · 138 lines · 12 tokens per session scan A cb6c9a9a6a5b
baml-schema is a command published in the GitHub repository Agentic-Insights/foundry (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 12 tokens to every session and 641 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.