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.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/SAP/ai-skills-librarynpx agentmods add skills/sap/ai-skills-library/genai-hub-foundation-modelsWrote 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/sap/ai-skills-library/genai-hub-foundation-models)<a href="https://agentmods.dev/skills/sap/ai-skills-library/genai-hub-foundation-models"><img src="https://agentmods.dev/badge/skills/sap/ai-skills-library/genai-hub-foundation-models/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/sap/ai-skills-library/genai-hub-foundation-models"><img src="https://agentmods.dev/badge/skills/sap/ai-skills-library/genai-hub-foundation-models.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 | $0.00000 | $0.01047 |
| Opus 5.5 | $0.00000 | $0.00419 |
| Sonnet 5.5 | $0.00000 | $0.00209 |
| Haiku 4.5 | $0.00000 | $0.00105 |
Grade A, and why
genai-hub-foundation-models scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
or get curl inference examples for a deployed model (chat completions, Responses API, embeddings, How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rules
- Fetch the live model list when the model name is unknown or unconfirmed — skip if the user already named a specific model.
executable-idandmodel-namevalues from this skill are the inputs needed byaicore-lifecycle-managementto create a deployment.- If credentials are not configured, invoke
aicore-admin-resourcesfirst. - Before executing any curl example, get a Bearer token with:
Never addexport TOKEN=$(uv run skills/aicore-admin-resources/scripts/get_token.py)2>&1or pipe the command — that prints the raw JWT into the conversation.
List Available Models
# Show all options and examples:
uv run scripts/list_foundation_models.py --help
# One provider only (e.g. Azure OpenAI):
uv run scripts/list_foundation_models.py --executable-id azure-openai
# Detailed view (versions, capabilities, context length, streaming support):
uv run scripts/list_foundation_models.py --response-format detailed
# Machine-readable JSON for scripting:
uv run scripts/list_foundation_models.py --json | jq '.[].model'
uv run scripts/list_foundation_models.py --response-format detailed --json | jq '.[] | select(.model == "gpt-4o") | .versions'
# Models supported by the Orchestration service only:
uv run scripts/list_foundation_models.py --scenario-id orchestration
Provider → Executable ID Mapping
| Provider | --executable-id |
|---|---|
| Azure OpenAI | azure-openai |
| Anthropic | aws-bedrock |
gcp-vertexai |
|
| Amazon Bedrock | aws-bedrock |
| Mistral AI | aicore-mistralai |
| Cohere | aicore-cohere |
| Perplexity | perplexity-ai |
| NVIDIA | aicore-nvidia |
| Open Source | aicore-opensource |
| SAP | aicore-sap |
Supported models in your instance may differ from this table — use the script to get the live list.
Create a Deployment
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago Changed · +1 lines · -148 tokens per session 5301da75468b
- 17d ago Changed · +1 lines be27d75f49da
- 24d ago First seen · 111 lines · 148 tokens per session scan A 080037a507b8
genai-hub-foundation-models 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 1,047 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.
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