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.
git clone --depth 1 https://github.com/Agentic-Insights/foundryWrote 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/commands/agentic-insights/foundry/baml-diagnose)<a href="https://agentmods.dev/commands/agentic-insights/foundry/baml-diagnose"><img src="https://agentmods.dev/badge/commands/agentic-insights/foundry/baml-diagnose/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/commands/agentic-insights/foundry/baml-diagnose"><img src="https://agentmods.dev/badge/commands/agentic-insights/foundry/baml-diagnose.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 | $0.00008 | $0.00691 |
| Opus 5.5 | $0.00003 | $0.00276 |
| Sonnet 5.5 | $0.00002 | $0.00138 |
| Haiku 4.5 | $0.00001 | $0.00069 |
Grade A, and why
baml-diagnose 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 1mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diagnose BAML Issues
Analyze BAML configuration and identify problems.
Diagnostic Checks
1. Project Structure
-
baml_src/directory exists -
generators.bamlexists and is valid -
clients.bamlexists with at least one client - Generated
baml_client/exists
2. Generator Configuration
# Check generator version matches CLI
baml-cli --version
Compare with generators.baml version field.
3. Client Configuration
Verify clients have:
- Valid provider (openai, anthropic, ollama, etc.)
- API key reference (
env.OPENAI_API_KEY) - Valid model name
4. Environment Variables
Check required env vars are set:
echo $OPENAI_API_KEY | head -c 10
echo $ANTHROPIC_API_KEY | head -c 10
5. Schema Validation
Look for common schema issues:
- Missing
{{ ctx.output_format }}in prompts - Deeply nested types (3+ levels)
- Ambiguous field names without @description
- @assert expressions that may fail unexpectedly
6. Test Health
baml-cli test --parallel 1
Check for:
- Parse failures
- Validation failures
- Timeouts
Arguments
$ARGUMENTS can specify focus area:
schema- Check schema files onlyclients- Check client configurationtests- Run and analyze testsenv- Check environment variables- (empty) - Run all checks
Output
Provide:
- Status - Overall health (✓ OK, ⚠ Warnings, ✗ Issues)
- Findings - List of issues found
- Recommendations - How to fix each issue
- Next Steps - Suggested actions
Example Output
BAML Project Diagnosis
======================
✓ Project Structure
- baml_src/ found
- generators.baml valid
- clients.baml valid
⚠ Client Configuration
- GPT4 client uses deprecated model name
- Recommendation: Change "gpt-4" to "gpt-4-turbo"
✗ Environment
- ANTHROPIC_API_KEY not set
- Recommendation: Set in .env or environment
⚠ Schema Issues
- ExtractData function missing ctx.output_format
- Location: baml_src/extract.baml:15
Tests: 8 passed, 2 failed
- TestComplexExtraction: Parse error
- TestImageReceipt: Timeout
Next Steps:
1. Fix ANTHROPIC_API_KEY if using Anthropic
2. Add {{ ctx.output_format }} to ExtractData prompt
3. Run /baml-test TestComplexExtraction to debug
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.
- 1mo ago First seen · 114 lines · 8 tokens per session scan A 4a241e2145e1
baml-diagnose is a command published in the GitHub repository Agentic-Insights/foundry (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 8 tokens to every session and 691 once invoked, about $0.0000 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 2026-08-31.
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