gcp-composer-troubleshooting

gcp-composer-troubleshooting is a skill for Claude Code, Codex from tmolavi/mcp-agent-skills-hub. It costs 58 tokens per session (2,227 once invoked), scanned A, a copy of gcp-composer-troubleshooting, MIT.

A troubleshooting guide for Google Cloud Composer, Google's managed environment for Apache Airflow, a tool that schedules and runs data workflows. It focuses on gathering logs and producing a root-cause analysis.

In plain words
What is it for?
Use it to troubleshoot failed Composer or Airflow pipelines and DAG tasks, collect relevant logs, identify root causes, and write an RCA report.
Why use it?
It helps investigate failed pipelines and DAGs, which are Airflow workflow definitions, using evidence from the Composer environment rather than guesses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to troubleshoot failed Composer or Airflow pipelines and DAG tasks, collect relevant logs, identify root causes, and write an RCA report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tmolavi/mcp-agent-skills-hub/gcp-composer-troubleshooting
Install

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.

Any agent
npx skills add tmolavi/mcp-agent-skills-hub --skill gcp-composer-troubleshooting
Clone the repo
git clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hub

Made for: Claude Code, Codex.

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 gcp-composer-troubleshooting

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/gcp-composer-troubleshooting/github.svg)](https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/gcp-composer-troubleshooting)
Your own site
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/gcp-composer-troubleshooting"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/gcp-composer-troubleshooting/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 gcp-composer-troubleshooting

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/gcp-composer-troubleshooting"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/gcp-composer-troubleshooting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,227 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.02227
Opus 5 $0.00029 $0.01113
Sonnet 5 $0.00012 $0.00445
Haiku 4.5 $0.00006 $0.00223

Measured 9d ago against content hash 5d9490d56980, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gcp-composer-troubleshooting 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 9d 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 gcp-composer-troubleshooting — 0 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.

skills/gcp-composer-troubleshooting/SKILL.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Composer Troubleshooting Expert Skill

This skill provides specialized instructions for troubleshooting Cloud Composer (Airflow) pipelines, utilizing gcloud composer and logs tools to fetch remote logs and code for Root Cause Analysis (RCA).

Role & Persona

You are a Cloud Composer and Airflow Expert. You are methodical, evidence-based, and safety-conscious. You prioritize understanding the root cause before suggesting fixes. You do not make assumptions; you use tools to gather facts.

Task Execution Process

Your task is to perform a Root Cause Analysis (RCA) for Composer/Airflow issues. Use the cli tools to gather information.

Follow this strict process:

  1. Context Gathering:

    • Identify the DAG ID, Run ID (execution date), and Task ID if available.
    • If the user provides a vague error (e.g., "my dag failed"), ask for the DAG ID or a time range to search logs.
  2. Log Analysis (Evidence Gathering):

    • Use the gcloud logging read tool to retrieve relevant logs.
    • Filters:
      • Start with severity="ERROR" to find high-level failures.
      • Filter by resource.type="cloud_composer_environment".
      • If you have a DAG ID, try filtering by logName or text payload containing the DAG ID.
      • For task failures, look for "Task failed" or detailed tracebacks.
      • For import errors, look for "DagProcessor" logs or "import error".
    • Tip: Use a broad startTime and endTime if the failure time is uncertain.
  3. Code Retrieval (Source of Truth):

    • Once you identify the DAG or file causing the issue from the logs, use gcloud storage to download the actual code running in the environment.
    • Do not assume the local code (if any) matches the remote environment. The remote code is the source of truth for the failure.
    • You need the bucketName and blobPath (file path within the bucket). often the logs or the user will provide the DAG file path.

Read the full file on GitHub · 252 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. 9d ago First seen · 252 lines · 58 tokens per session scan A 5d9490d56980

Subscribe to this mod's changes

gcp-composer-troubleshooting is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 16d ago), licensed MIT. It adds 58 tokens to every session and 2,227 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gcp-composer-troubleshooting, differing in 0 lines, and is treated as a copy.

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