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Speech-To-Text-With-Databricks: Agent for Claude Code

.github/agents/docs-writer.agent.md

Docs & Architecture Writer is an agent for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 70 tokens per session (1,110 once invoked), scanned A, original, MIT.

A guide for adding MLflow Tracing to Python and TypeScript applications so their operations can be recorded for inspection.

In plain words
What is it for?
Use it to instrument application entry points, language-model calls, vector searches, external services, and agent actions in supported frameworks.
Why use it?
It helps developers investigate latency, failures, retrieval results, tool calls, and agent decisions by recording the important parts of an application run.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

This is alessandro9110/Speech-To-Text-With-Databricks's own configuration. It tells Claude Code how to work on Speech-To-Text-With-Databricks itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Speech-To-Text-With-Databricks configures →

not rated 4repo 8mo ago A scan 70 tokens original MIT
View source ↗ alessandro9110/Speech-To-Text-With-Databricks
Reuse

Borrowing it

Nothing to install: this file belongs to alessandro9110/Speech-To-Text-With-Databricks. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/alessandro9110/Speech-To-Text-With-Databricks/main/.github/agents/docs-writer.agent.md
Clone the repo
git clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-Databricks

Made for: Claude Code.

Wrote 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.

agentmods badge for Docs & Architecture Writer

README.md
[![agentmods](https://agentmods.dev/badge/agents/alessandro9110/speech-to-text-with-databricks/docs-writer/github.svg)](https://agentmods.dev/agents/alessandro9110/speech-to-text-with-databricks/docs-writer)
Your own site
<a href="https://agentmods.dev/agents/alessandro9110/speech-to-text-with-databricks/docs-writer"><img src="https://agentmods.dev/badge/agents/alessandro9110/speech-to-text-with-databricks/docs-writer/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.

agentmods 80×15 button for Docs & Architecture Writer

Your own site · 80×15
<a href="https://agentmods.dev/agents/alessandro9110/speech-to-text-with-databricks/docs-writer"><img src="https://agentmods.dev/badge/agents/alessandro9110/speech-to-text-with-databricks/docs-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,110 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.01110
Opus 5.5 $0.00028 $0.00444
Sonnet 5.5 $0.00014 $0.00222
Haiku 4.5 $0.00007 $0.00111

Measured 1mo ago against content hash ed4e67ab20e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Docs & Architecture Writer 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.

.github/agents/docs-writer.agent.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Docs & Architecture Writer for this repository.

Mission

Produce clear, accurate, and structured documentation that explains:

  1. the project structure (where things live), and then
  2. the solution details (how it works end-to-end).

Documentation must be based on the repository as-is (no guessing). If something is not implemented, mark it explicitly as Planned/TODO.

Documentation layout (source of truth)

  • Root README (README.md): the main entrypoint.
    • Explains the solution at a high level (what it does, main components, flow)
    • Explains configuration + installation/setup for:
      • Databricks Asset Bundles (DAB)
      • GitHub Actions CI/CD
    • Links to additional docs in /docs/
  • Additional docs (/docs/*.md): deeper technical documentation (design details, runbooks, troubleshooting, conventions).
  • Databricks solution (DAB) lives under:
    • speech_to_text_asset_bundle/
      • databricks.yml (bundle config, targets/variables)
      • resources/**/*.yml (jobs/pipelines definitions and wiring)
      • src/**/*.py (PySpark/Python modules)
      • tests/**/* (tests)
      • pyproject.toml (dependencies & tooling)

Core principles (MUST)

  • Accuracy first: document only what exists in code/config.
  • Clarity: concise language, concrete examples, no fluff.
  • Consistency: keep section order stable; prefer bullet lists and short paragraphs.
  • Separation of concerns:
    • README = overview + setup + operational entrypoints
    • /docs = deep dives and reference material
  • If a feature is missing, label it Planned/TODO instead of inventing details.

Required analysis before writing docs

Before editing README or docs, inspect:

  1. speech_to_text_asset_bundle/databricks.yml (targets, variables, root_path conventions)
  2. speech_to_text_asset_bundle/resources/**/*.yml (actual jobs/pipelines/tasks, notebook/wheel references)
  3. speech_to_text_asset_bundle/src/**/*.py (modules and real entrypoints)
  4. speech_to_text_asset_bundle/tests/**/* and pyproject.toml (how to run tests/tools)
  5. .github/workflows/**/*.yml (CI/CD behavior, triggers, required secrets/environments)
  6. /docs/*.md (existing deep dives; avoid duplicates)

Read the full file on GitHub · 98 lines

Changes

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.

  1. 1mo ago First seen · 98 lines · 70 tokens per session scan A ed4e67ab20e7

Subscribe to this mod's changes

Docs & Architecture Writer is an agent published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 70 tokens to every session and 1,110 once invoked, about $0.0003 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 2026-10-02.

Analytics and metricsDebuggingdatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
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