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 aiappsgbb/awesome-gbb --skill foundry-cross-resourcegit clone --depth 1 https://github.com/aiappsgbb/awesome-gbbWrote 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/aiappsgbb/awesome-gbb/foundry-cross-resource)<a href="https://agentmods.dev/skills/aiappsgbb/awesome-gbb/foundry-cross-resource"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-cross-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/skills/aiappsgbb/awesome-gbb/foundry-cross-resource"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-cross-resource.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 | $0.00208 | $0.10106 |
| Opus 5 | $0.00104 | $0.05053 |
| Sonnet 5 | $0.00042 | $0.02021 |
| Haiku 4.5 | $0.00021 | $0.01011 |
Grade A, and why
foundry-cross-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 9d 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 — 723 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Resource Model Invocation via Foundry AI Gateway
Status — verified live on 2026-04-23 with Foundry account
xtest-foundry-mr5kfi/ projectxtest-proj-mr5kfi(Sweden Central) calling deploymentgpt-4o-mini v2024-07-18hosted on a different Azure OpenAI account (acme-aoai-shared) through APIMacme-ai-apim. Both ApiKey and ProjectManagedIdentity auth paths returnedPONGon all three invocation patterns. See "Verified working configuration" at the end.Default in worked examples below:
gpt-5.4-mini(current Foundry-routable chat-mini family, May 2026). The original verification was ongpt-4o-mini; the gateway routes bydeployment-name-in-pathregardless of model family, so the recipe is mechanically identical for any deployment your APIM backend actually carries. The exact APIversionstring in the connection metadata below is illustrative — use whatever your backend deployment is registered with (checkaz cognitiveservices account deployment show).
1. What this skill solves
You have a Foundry project ("consumer") that needs to invoke models
deployed on a different Azure OpenAI / AI Services account ("backend"),
fronted by an Azure API Management instance acting as the AI Gateway. You want
to address those models via the Foundry-native string
connectionName/deploymentName so the application code is identical to a
local-deployment call.
┌────────────────────────┐ ┌──────────────────────────┐ ┌─────────────────────────────┐
│ Consumer Foundry │ │ APIM AI Gateway │ │ Backend AI/OpenAI account │
│ project │ Foundry MI │ acme-ai-apim │ APIM MI → │ acme-aoai-shared │
│ xtest-proj-mr5kfi ├───or────────► │ /xtest-aoai ├──Bearer───────►│ gpt-5.4-mini deployment │
│ (Sweden Central) │ ApiKey │ /xtest-aoai-pmi │ (msi token) │ (East US 2) │
│ │ │ │ │ │
│ ApiManagement │ │ validate token / │ │ Cognitive Services User RBAC│
│ connection │ │ enforce subscription │ │ granted to APIM MI │
│ category=ApiManagement│ │ set-backend-service │ │ │
│ target=APIM API URL │ │ authentication-managed- │ │ │
│ authType=ApiKey | PMI │ │ identity → backend │ │ │
└────────────────────────┘ └──────────────────────────┘ └─────────────────────────────┘
What ships with it
1 file 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.
- 9d ago First seen · 723 lines · 208 tokens per session scan A ed2e052bacdc
foundry-cross-resource is a skill published in the GitHub repository aiappsgbb/awesome-gbb (5 stars, last pushed 2d ago), licensed MIT. It adds 208 tokens to every session and 10,106 once invoked, about $0.0010 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 2026-08-31.
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