Prow Job Analyze Resource

Prow Job Analyze Resource is a skill for Claude Code, Codex from wangke19/gemini-ai-helpers. It costs 33 tokens per session (6,473 once invoked), scanned B, a copy of prow-job-analyze-resource, Apache-2.0.

A tool for examining how Kubernetes resources change during Prow CI jobs. Prow is a system that runs and records automated tests, while Kubernetes manages the temporary clusters and resources used by those tests.

In plain words
What is it for?
Use it with Prow job artifacts stored in Google Cloud Storage to investigate failed tests, follow particular pods or deployments, and create interactive timeline reports.
Why use it?
It brings audit records and pod logs together so you can see when a resource was created, changed, or removed instead of piecing the timeline together manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it with Prow job artifacts stored in Google Cloud Storage to investigate failed tests, follow particular pods or deployments, and create interactive timeline reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wangke19/gemini-ai-helpers/prow-job-analyze-resource
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 wangke19/gemini-ai-helpers --skill prow-job-analyze-resource
Clone the repo
git clone --depth 1 https://github.com/wangke19/gemini-ai-helpers

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 Prow Job Analyze Resource

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/prow-job-analyze-resource/github.svg)](https://agentmods.dev/skills/wangke19/gemini-ai-helpers/prow-job-analyze-resource)
Your own site
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/prow-job-analyze-resource"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/prow-job-analyze-resource/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 Prow Job Analyze Resource

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/prow-job-analyze-resource"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/prow-job-analyze-resource.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,473 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% 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 $0.00033 $0.06473
Opus 5 $0.00016 $0.03236
Sonnet 5 $0.00007 $0.01295
Haiku 4.5 $0.00003 $0.00647

Measured 12d ago against content hash cf5979e41d3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

Prow Job Analyze Resource scanned grade B with 1 finding 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 12d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (create_context_html_files.py, create_inline_html_files.py, generate_html_report.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- Remove all existing content: `rm -rf .work/prow-job-analyze-resource/{build_id}/logs/`

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Origin

This is a copy

89% identical to prow-job-analyze-resource — 27 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.

extensions/ci/skills/prow-job-analyze-resource/SKILL.md · 592 lines

How it starts

The opening of the file, as written. The whole thing — 592 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prow Job Analyze Resource

This skill analyzes the lifecycle of Kubernetes resources during Prow CI job execution by downloading and parsing artifacts from Google Cloud Storage.

When to Use This Skill

Use this skill when the user wants to:

  • Debug Prow CI test failures by tracking resource state changes
  • Understand when and how a Kubernetes resource was created, modified, or deleted during a test
  • Analyze resource lifecycle across audit logs and pod logs from ephemeral test clusters
  • Generate interactive HTML reports showing resource events over time
  • Search for specific resources (pods, deployments, configmaps, etc.) in Prow job artifacts

Prerequisites

Before starting, verify these prerequisites:

  1. gcloud CLI Installation

  2. gcloud Authentication (Optional)

    • The test-platform-results bucket is publicly accessible
    • No authentication is required for read access
    • Skip authentication checks

Input Format

The user will provide:

  1. Prow job URL - gcsweb URL containing test-platform-results/

    • Example: https://gcsweb-ci.apps.ci.l2s4.p1.openshiftapps.com/gcs/test-platform-results/pr-logs/pull/30393/pull-ci-openshift-origin-main-okd-scos-e2e-aws-ovn/1978913325970362368/
    • URL may or may not have trailing slash
  2. Resource specifications - Comma-delimited list in format [namespace:][kind/]name

    • Supports regex patterns for matching multiple resources
    • Examples:
      • pod/etcd-0 - pod named etcd-0 in any namespace
      • openshift-etcd:pod/etcd-0 - pod in specific namespace
      • etcd-0 - any resource named etcd-0 (no kind filter)
      • pod/etcd-0,configmap/cluster-config - multiple resources
      • resource-name-1|resource-name-2 - multiple resources using regex OR
      • e2e-test-project-api-.* - all resources matching the pattern

Read the full file on GitHub · 592 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. 12d ago First seen · 592 lines · 33 tokens per session scan B cf5979e41d3f

Subscribe to this mod's changes

Prow Job Analyze Resource is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 6,473 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (recursive force delete). It is 89% identical to prow-job-analyze-resource, differing in 27 lines, and is treated as a copy.

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