What is retrieving-mlflow-traces?

A guide for retrieving MLflow traces through the command line or Python. MLflow is a tool that records how machine-learning applications run, including their steps, timing, status, and metadata.

Use it to locate slow or failed MLflow runs, inspect trace details, and find traces matching debugging or monitoring criteria.

It helps you find one trace by ID or search many traces without manually inspecting stored run data. You can narrow results by sessions, status, tags, metadata, or execution time.

How alessandro9110/Speech-To-Text-With-Databricks configures Claude Co

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/.claude/skills/retrieving-mlflow-traces/SKILL.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.

README.md

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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.

Your own site · 80×15

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Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,595 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 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00087	$0.01595
Opus 5.5	$0.00035	$0.00638
Sonnet 5.5	$0.00017	$0.00319
Haiku 4.5	$0.00009	$0.00160

Measured 1mo ago against content hash 45e70f25f42d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

retrieving-mlflow-traces 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.

Origin

This is a copy

100% identical to retrieving-mlflow-traces — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/retrieving-mlflow-traces/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Retrieving MLflow Traces

Single Fetch vs Search

Choose the right approach based on what you have:

You have...	Use	Command
Trace ID	Single fetch	`mlflow traces get --trace-id <id>`
Session/user/filters	Search	`mlflow traces search --experiment-id <id> --filter-string "..."`

Single fetch - Use when you have a specific trace ID (e.g., from UI, logs, or API response):

mlflow traces get --trace-id tr-69f72a3772570019f2f91b75b8b5ded9

Search - Use when you need to find traces by criteria (session, user, status, time range, etc.):

mlflow traces search --experiment-id 1 --filter-string "metadata.\`mlflow.trace.session\` = 'session_abc'"

Trace Data Structure

TraceInfo: trace_id, status (OK/ERROR), timestamp_ms, execution_time_ms, tags, metadata, assessments (human feedback, evaluation results)
Spans: Tree of operations with name, type, attributes, start_time, end_time

Workflow

Check CLI usage (required): mlflow traces search --help
Build filter query using syntax below
Execute search with appropriate flags
Retrieve details for specific traces if needed

Prerequisite: Check CLI Usage

mlflow traces search --help

Always run this first to get accurate flags for the installed MLflow version.

Searching Traces

The mlflow traces search command is used to search for traces in an MLflow experiment.

By Run ID

Filter traces associated with a specific MLflow run:

# All traces for a run
mlflow traces search --run-id <run_id>

# Failed traces for a run
mlflow traces search --run-id <run_id> --filter-string "trace.status = 'ERROR'"

# Can combine with experiment-id
mlflow traces search --experiment-id 1 --run-id <run_id>

By Session or User (Common for Debugging)

When debugging an issue from the MLflow UI, filter by session or user ID to get all related traces:

Read the full file on GitHub · 193 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.

1mo ago First seen · 193 lines · 87 tokens per session scan A 45e70f25f42d

Subscribe to this mod's changes

retrieving-mlflow-traces is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 87 tokens to every session and 1,595 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to retrieving-mlflow-traces, differing in 12 lines, and is treated as a copy.

Analytics and metrics Debugging databricks delta-lake generative-ai lakehouse machine speech-to-text

retrieving-mlflow-traces next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
retrieving-mlflow-tracesalessandro9110/Speech-To-Text-With-Databricks	Skill	4	8mo ago	MIT	A	87	Claude Code
databricks-expertpersonamanagmentlayer/pcl	Skill	44	11d ago	Apache-2.0	A	74	Claude Code
redosPurpleAILAB/Decepticon	Skill	6.5k	8d ago	Apache-2.0	A	117	Claude Code
potpie-clipotpie-ai/potpie	Skill	5.8k	7d ago	Apache-2.0	A	60	Codex
pattern-exhaustionPurpleAILAB/Decepticon	Skill	6.5k	8d ago	Apache-2.0	A	33	Claude Code, Codex
potpie-debug-memorypotpie-ai/potpie	Skill	5.8k	7d ago	Apache-2.0	A	41	Claude Code, Codex
scanner-overviewPurpleAILAB/Decepticon	Skill	6.5k	8d ago	Apache-2.0	A	40	Claude Code, Codex

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