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.
npx skills add fabricioctelles/jump-skills --skill google-ai-ninjagit clone --depth 1 https://github.com/fabricioctelles/jump-skillsWrote 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/skills/fabricioctelles/jump-skills/google-ai-ninja)<a href="https://agentmods.dev/skills/fabricioctelles/jump-skills/google-ai-ninja"><img src="https://agentmods.dev/badge/skills/fabricioctelles/jump-skills/google-ai-ninja/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/skills/fabricioctelles/jump-skills/google-ai-ninja"><img src="https://agentmods.dev/badge/skills/fabricioctelles/jump-skills/google-ai-ninja.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00115 | $0.02562 |
| Opus 5 | $0.00057 | $0.01281 |
| Sonnet 5 | $0.00023 | $0.00512 |
| Haiku 4.5 | $0.00012 | $0.00256 |
Grade A, and why
google-ai-ninja 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google AI Ninja
Jump Skill — Master orchestrator that routes Google AI/ML tasks to 25+ specialized skills from official Google repositories.
Purpose
This skill acts as an intelligent router to the Google AI/ML skills library. Instead of manually searching for the right skill, describe your AI task and this skill will:
- Identify the most relevant specialized skill(s)
- Load the full skill instructions on demand
- Execute the task with expert-level Google AI knowledge
Skill Catalog
Gemini API & Inference
| Skill | Path | Use When |
|---|---|---|
gemini-api |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/gemini-api/ |
Gemini API on Agent Platform, SDK usage, multimodal |
agent-platform-inference |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-inference/ |
GenAI inference, Gemini + OpenMaaS models |
gemini-live-api |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/gemini-live-api/ |
LiveAPI websocket, bidirectional streaming |
gemini-interactions-api |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/gemini-interactions-api/ |
Stateful multi-turn conversations |
gemini-agents-api |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/gemini-agents-api/ |
Custom Agent resources, tools, skills |
Agent Platform Management
| Skill | Path | Use When |
|---|---|---|
agent-platform-deploy |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-deploy/ |
Model deployment, Model Garden, endpoints |
agent-platform-endpoint-management |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-endpoint-management/ |
Serving endpoints CRUD |
agent-platform-model-registry |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-model-registry/ |
Model Registry management |
agent-platform-tuning |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-tuning/ |
Model fine-tuning |
agent-platform-tuning-management |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-tuning-management/ |
Tuning jobs management |
agent-platform-prompt-management |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-prompt-management/ |
Managed prompts versioning |
agent-platform-rag-engine-management |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-rag-engine-management/ |
RAG Engine corpora, retrieval |
agent-platform-skill-registry |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-skill-registry/ |
Skill Registry for agents |
agent-platform-troubleshooting |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-troubleshooting/ |
Agent Gateway, IAP, policy errors |
agent-platform-migrate-from-ai-studio |
{{JUMP_SKILLS_DIR}}/repos/google-ai-ninja/skills/skills/cloud/agent-platform-migrate-from-ai-studio/ |
Migration from AI Studio |
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.
- 8d ago First seen · 146 lines · 115 tokens per session scan A 1f54a30a6492
google-ai-ninja is a skill published in the GitHub repository fabricioctelles/jump-skills (28 stars, last pushed 2d ago), licensed MIT. It adds 115 tokens to every session and 2,562 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
Other skills, from other repositories
aws-bedrock-ai
WORKFLOW SKILL — Amazon Bedrock and AWS AI design: foundation model selection, knowledge bases (RAG), agents for bedrock, guardrails, provisioned throughput, batch inference, fine-tuning, KMS, VPC endpoints, regional GA, and per-provider licensing.
databricks-platform-provisioning
Provision and test Databricks workspaces. Use when the user asks to create a workspace, set up a new environment, provision infrastructure, bootstrap Databricks, test a workspace, verify a deployment, or run validation checks against a Databricks workspace. Covers Azure, AWS, and GCP.
azure-search-documents-py
Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".
azure-search-documents-dotnet
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET"…
azure-ai-contentunderstanding-py
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video. Triggers: "azure-ai-contentunderstanding", "ContentUnderstandingClient", "multimodal analysis", "document extraction", "video analysis", "audio transcription".
azure-storage-file-datalake-py
Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations. Triggers: "data lake", "DataLakeServiceClient", "FileSystemClient", "ADLS Gen2", "hierarchical namespace".