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/aiappsgbb/awesome-gbbnpx agentmods add skills/aiappsgbb/awesome-gbb/foundry-cost-monitoringWrote 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-cost-monitoring)<a href="https://agentmods.dev/skills/aiappsgbb/awesome-gbb/foundry-cost-monitoring"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-cost-monitoring/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-cost-monitoring"><img src="https://agentmods.dev/badge/skills/aiappsgbb/awesome-gbb/foundry-cost-monitoring.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 | $0.00214 | $0.06368 |
| Opus 5 | $0.00107 | $0.03184 |
| Sonnet 5 | $0.00043 | $0.01274 |
| Haiku 4.5 | $0.00021 | $0.00637 |
Grade A, and why
foundry-cost-monitoring 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 12d 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.
No auth header. No subscription. Just `curl` (or `urllib.request`). The How it starts
The opening of the file, as written. The whole thing — 556 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Foundry Cost Monitoring
Continuous, FinOps-grade cost monitoring for Microsoft Foundry. Where
foundry-observability emits the
gen_ai.usage.* spans, this skill consumes them — joining them with
the Azure Retail Prices API to project per-agent, per-project, and
per-tenant cost in near-real time, then wiring Cost Management budgets
and Action Groups so the FinOps team sees overruns within minutes
instead of next-month's invoice.
Sibling skills. Pair with
foundry-observabilityfor the telemetry emit path,paygo-ptu-cost-analyzerfor one-shot PTU sizing decisions, andcitadel-spoke-onboardingwhen chargeback is gateway-mediated via APIMx-app-idheaders.
§1 — Three layers of cost truth
Foundry cost lands in three places, with three different latencies and three different fidelities:
| Layer | Source | Latency | Fidelity | Use for |
|---|---|---|---|---|
| 1. Foundry portal estimate | ai.azure.com → Operate → Overview / Build → Agent / Model Monitor |
≈ 2–5 min | Estimate — not invoiceable | Near-real-time engineering insight (per-agent rollup) |
| 2. OTel real-time projection | App Insights customDimensions['gen_ai.usage.*'] × Retail Prices rate card |
≈ 2–5 min ingest + your KQL window | Engineering projection — not invoiceable | Per-tenant / per-agent / per-conversation projection, anomaly detection, dashboards |
| 3. Cost Mgmt actuals | Microsoft.CostManagement/query REST + invoice CSV exports |
≈ 8–24 h | Source of truth for billing | Finance reconciliation, chargeback, budgets |
Reconciliation rule (and this is the rule that prevents the awkward quarterly call with finance): treat layer 3 as authoritative for anything that ends up on the bill. Layers 1 and 2 are engineering tools to see overruns before layer 3 catches up. Per the MS Learn cost guidance: "treat your invoice and meter records as the source of truth."
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.
- 12d ago First seen · 556 lines · 214 tokens per session scan A 8a42dce34205
foundry-cost-monitoring is a skill published in the GitHub repository aiappsgbb/awesome-gbb (5 stars, last pushed yesterday), licensed MIT. It adds 214 tokens to every session and 6,368 once invoked, about $0.0011 per session on Opus 5. 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 2026-08-31.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.