aicore-admin-resources

aicore-admin-resources is a skill for Claude Code from SAP/ai-skills-library. It costs 0 tokens per session (1,253 once invoked), scanned A, original, Apache-2.0.

A setup and administration guide for SAP AI Core, a cloud service for running AI workloads. It checks credentials, obtains access tokens, and manages resource groups.

In plain words
What is it for?
Use it to check SAP AI Core setup, configure authentication, get a Bearer token for testing, and list, create, update, or delete resource groups.
Why use it?
It helps find configuration and authentication problems without exposing secret values or tokens. It also provides a safe way to inspect and change resource groups.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter.

Part of the aicore-skills plugin — 4 skills shipped together

Good fit Use it to check SAP AI Core setup, configure authentication, get a Bearer token for testing, and list, create, update, or delete resource groups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sap/ai-skills-library/aicore-admin-resources
About the project

SAP/ai-skills-library is a catalogue for discovering, filtering, and installing AI skills that support SAP digital assistants. SAP users and contributors can install listed skills with the skills CLI across compatible coding agents, while skill authors keep their implementations in their own public repositories and register them with the library. The catalogue contains five of the library's skills and its plugin.

SAP/ai-skills-library · 81 stars · on GitHub

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 SAP/ai-skills-library --skill aicore-admin-resources
Clone the repo
git clone --depth 1 https://github.com/SAP/ai-skills-library

Made for: Claude Code.

Or install aicore-skills, the plugin that ships this one along with the rest of its 4 skills.

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 aicore-admin-resources

README.md
[![agentmods](https://agentmods.dev/badge/skills/sap/ai-skills-library/aicore-admin-resources/github.svg)](https://agentmods.dev/skills/sap/ai-skills-library/aicore-admin-resources)
Your own site
<a href="https://agentmods.dev/skills/sap/ai-skills-library/aicore-admin-resources"><img src="https://agentmods.dev/badge/skills/sap/ai-skills-library/aicore-admin-resources/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 aicore-admin-resources

Your own site · 80×15
<a href="https://agentmods.dev/skills/sap/ai-skills-library/aicore-admin-resources"><img src="https://agentmods.dev/badge/skills/sap/ai-skills-library/aicore-admin-resources.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,253 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00000 $0.01253
Opus 5.5 $0.00000 $0.00501
Sonnet 5.5 $0.00000 $0.00251
Haiku 4.5 $0.00000 $0.00125

Measured 10d ago against content hash bd18965a5c26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aicore-admin-resources scanned grade A 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 10d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/check_setup.py, scripts/create_resource_group.py, scripts/delete_resource_group.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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Prints a raw Bearer token to stdout — useful for curl testing:
plugins/aicore-skills/skills/aicore-admin-resources/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rules

  1. Always run check_setup.py first when credentials are unknown or when any script fails with an auth error.
  2. AICORE_BASE_URL must end in /v2 — this is the single most common misconfiguration.
  3. Never display or log the client secret or token value in clear text. Print only what the user needs (e.g. the resource group, not the full config).
  4. X.509 certificate auth is an alternative to client secret — both are supported.

Check Setup

Verifies credentials and prints the active resource group:

uv run scripts/check_setup.py

Expected output on success:

{
  "status": "ok",
  "resource_group": "<your-resource-group>",
  "base_url": "https://api.ai.<region>...",
  "auth_url": "https://..."
}

If this fails, read references/SETUP.md for step-by-step credential configuration.


Get Auth Token

Prints a raw Bearer token to stdout — useful for curl testing:

export TOKEN=$(uv run scripts/get_token.py)

Always capture the token into a variable. Never run get_token.py standalone or with 2>&1 — that prints the raw JWT into the conversation. The success message already goes to stderr cleanly; $() capture gives only the bare token.


Configure Credentials

Three options — see references/SETUP.md for the full guide:

Option Command / Action
Interactive CLI (recommended) aicore configure
Environment variables Set AICORE_AUTH_URL, AICORE_CLIENT_ID, AICORE_CLIENT_SECRET, AICORE_BASE_URL, AICORE_RESOURCE_GROUP
Profile config file Create ~/.aicore/config.json

Read the full file on GitHub · 154 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. 10d ago Changed · +1 lines · -100 tokens per session bd18965a5c26
  2. 17d ago Changed · +1 lines 9660d8503702
  3. 24d ago First seen · 152 lines · 100 tokens per session scan A c9b83d288deb

Subscribe to this mod's changes

aicore-admin-resources is a skill published in the GitHub repository SAP/ai-skills-library (81 stars, last pushed 11d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,253 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-22.

Related

Other skills, from other repositories

agent-platform-tuning

Agent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use agent-platform-deploy), or managing serving endpoints (use agent-platform-endpoint-management).

google/skills · 64 tokens

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…

google/skills · 83 tokens

gke-alert-configuration

Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, error rates using…

google/skills · 120 tokens

gke-ai-troubleshooting-tpu-partition-overlap

Diagnose and resolve GKE TPU slice creation failures (SliceCreationFailed) caused by partition overlap conflicts where requested TPU partitions or their nodes are already used by another slice or JobSet. Use when diagnosing GKE TPU slice creation failures with SliceCreationFailed partition or node conflicts. Don't use…

google/skills · 108 tokens

application-design-center-design-deploy

Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting…

google/skills · 94 tokens

cloud-run-basics

Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).

google/skills · 53 tokens