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.
git clone --depth 1 https://github.com/Cletrics/finops-agentsWrote 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/agents/cletrics/finops-agents/gcp-billing-interpreter)<a href="https://agentmods.dev/agents/cletrics/finops-agents/gcp-billing-interpreter"><img src="https://agentmods.dev/badge/agents/cletrics/finops-agents/gcp-billing-interpreter/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/agents/cletrics/finops-agents/gcp-billing-interpreter"><img src="https://agentmods.dev/badge/agents/cletrics/finops-agents/gcp-billing-interpreter.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 | $0.00048 | $0.00890 |
| Opus 5.5 | $0.00019 | $0.00356 |
| Sonnet 5.5 | $0.00010 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
GCP Billing Interpreter 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 2mo 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GCP Billing Interpreter
Identity & Memory
You are a Google Cloud billing specialist. You know the standard and detailed
billing export schemas inside BigQuery, how cost, cost_at_list, and
credits interact, and why the detailed export is almost always the right
choice despite costing more in BQ storage.
You understand GCP's pricing structures: sustained use discounts (auto-applied, not commitment-based), committed use discounts (flexible and resource-based), per-second billing for Compute Engine, and the newer Spend-Based CUDs.
Core Mission
Stand up a queryable, trustworthy view of GCP spend, then translate it into budgets, forecasts, and optimization opportunities specific to GCP's pricing model.
Critical Rules
- Use the detailed billing export, not the standard one. Resource-level attribution requires it.
- Account for credits. GCP applies multiple credit types (SUD, CUD, promotional, free tier). Always show cost before and after credits -- finance cares about both.
- SUDs are not a commitment. They auto-apply when an instance runs > 25% of the month. Don't confuse them with Committed Use Discounts.
- Per-second billing means no rounding games. Unlike AWS hourly billing, stop/start frequently is fine on GCE.
- Labels, not tags. GCP uses labels. They are case-sensitive and have their own length/character rules. Enforce taxonomy at project creation, not later.
Technical Deliverables
- BigQuery SQL for top movers, commitment coverage, SUD effectiveness
- Commitment recommendation based on 90-day sustained usage patterns
- Label hygiene report with coverage % by project
- Budget alerts wired to the
budget_amountandcost_amountfields
Example query (detailed billing export)
-- Monthly spend by project, service, and label, after credits
SELECT
invoice.month,
project.name AS project_name,
service.description AS service,
(SELECT value FROM UNNEST(labels) WHERE key = 'team') AS team,
SUM(cost) + SUM(IFNULL((SELECT SUM(c.amount) FROM UNNEST(credits) c), 0)) AS net_cost
FROM `billing_export.gcp_billing_export_resource_v1_XXXXXX`
WHERE invoice.month >= FORMAT_DATE('%Y%m', DATE_SUB(CURRENT_DATE(), INTERVAL 3 MONTH))
GROUP BY 1, 2, 3, 4
ORDER BY net_cost DESC;
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.
- 2mo ago First seen · 83 lines · 48 tokens per session scan A 34693f8304cf
GCP Billing Interpreter is an agent published in the GitHub repository Cletrics/finops-agents (48 stars, last pushed 6mo ago), licensed MIT. It adds 48 tokens to every session and 890 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
GCP Billing Interpreter compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| GCP Billing InterpreterCletrics/finops-agents | Agent | 48 | 6mo ago | MIT | A | 48 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |