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.
git clone --depth 1 https://github.com/wangke19/gemini-ai-helpersWrote 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.
[](https://agentmods.dev/commands/wangke19/gemini-ai-helpers/analyze-prow-job-resource)<a href="https://agentmods.dev/commands/wangke19/gemini-ai-helpers/analyze-prow-job-resource"><img src="https://agentmods.dev/badge/commands/wangke19/gemini-ai-helpers/analyze-prow-job-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.
<a href="https://agentmods.dev/commands/wangke19/gemini-ai-helpers/analyze-prow-job-resource"><img src="https://agentmods.dev/badge/commands/wangke19/gemini-ai-helpers/analyze-prow-job-resource.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00009 | $0.00220 |
| Opus 5 | $0.00005 | $0.00110 |
| Sonnet 5 | $0.00002 | $0.00044 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
analyze-prow-job-resource 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 11d 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.
This is a copy
100% identical to analyze-prow-job-resource — 2 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.
What it actually says
Name
ci:analyze-prow-job-resource
Synopsis
Generate a report showing the lifecycle of a single resource:
/ci:analyze-prow-job-resource <prowjob-url> [namespace:][kind/][resource-name]
Generate a report showing multiple resource lifecycles:
/ci:analyze-prow-job-resource <prowjob-url> [namespace:][kind/][resource-name],[namespace:][kind/][resource-name],...
Description
Analyze the lifecycle of Kubernetes resource(s) in a Prow CI job by invoking the "Prow Job Analyze Resource" skill.
Implementation
Pass the user's request to the skill, which will:
- Download Prow job artifacts from Google Cloud Storage
- Parse audit logs and pod logs
- Generate an interactive HTML report with timeline visualization
The skill handles all the implementation details including URL parsing, artifact downloading, log parsing, and HTML report generation.
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.
- 11d ago First seen · 29 lines · 9 tokens per session scan A 2f33a1a068bd
analyze-prow-job-resource is a command published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 220 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to analyze-prow-job-resource, differing in 2 lines, and is treated as a copy.
Other commands, from other repositories
wtfp:report-bug
Collect a reproducible bug report and publish it only after explicit user approval.
fix
Diagnose and fix bugs, errors, and issues in code.
issue:discover-by-prompt
Discover issues from user prompt with Gemini-planned iterative multi-agent exploration. Uses ACE semantic search for context gathering and supports cross-module comparison (e.g., frontend vs backend API contracts).
issue:discover
Discover potential issues from multiple perspectives (bug, UX, test, quality, security, performance, maintainability, best-practices) using CLI explore. Supports Exa external research for security and best-practices perspectives.
create-docker-mcp-tunnel
Stand up an Google MCP tunnel locally with Docker Compose so Gemini can call a private MCP server (manual-credentials quickstart).
dograh-doctor
Diagnose a Dograh deployment via the dograh-setup skill — run doctor.sh, read the report, and fix the top issue (failing health check, unhealthy/exited container, port conflict, etc.).