gcp-composer-troubleshooting

gcp-composer-troubleshooting is a skill for Claude Code, Codex from saski/arnesto. It costs 58 tokens per session (2,214 once invoked), scanned A, a copy of gcp-composer-troubleshooting, Unlicense.

A troubleshooting guide for Google Cloud Composer, Google's managed service for running Apache Airflow workflows. It gathers logs and pipeline details to help identify the root cause of a failure.

In plain words
What is it for?
Use it to investigate failed Composer workflows, also called DAGs, including a specific task run or a failure found within a time range.
Why use it?
It replaces guesswork with evidence from the failed workflow's logs and execution details. It also produces a root-cause analysis report.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to investigate failed Composer workflows, also called DAGs, including a specific task run or a failure found within a time range.

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Install with agentmods
npx agentmods add skills/saski/arnesto/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 saski/arnesto --skill gcp-composer-troubleshooting
Clone the repo
git clone --depth 1 https://github.com/saski/arnesto

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
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Your own site
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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.

agentmods 80×15 button for gcp-composer-troubleshooting

Your own site · 80×15
<a href="https://agentmods.dev/skills/saski/arnesto/gcp-composer-troubleshooting"><img src="https://agentmods.dev/badge/skills/saski/arnesto/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 2,214 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 $0.02214
Opus 5.5 $0.00023 $0.00886
Sonnet 5.5 $0.00012 $0.00443
Haiku 4.5 $0.00006 $0.00221

Measured 1mo ago against content hash a1a2dfe45341, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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 gcp-composer-troubleshooting — 51 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.

.agents/skills/gcp-composer-troubleshooting/SKILL.md · 243 lines

How it starts

The opening of the file, as written. The whole thing — 243 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 · 243 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 · 243 lines · 58 tokens per session scan A a1a2dfe45341

Subscribe to this mod's changes

gcp-composer-troubleshooting is a skill published in the GitHub repository saski/arnesto (6 stars, last pushed 8d ago), licensed Unlicense. It adds 58 tokens to every session and 2,214 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to gcp-composer-troubleshooting, differing in 51 lines, and is treated as a copy.

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