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 agentmods add agents/datadog/pup/cloud-costgit clone --depth 1 https://github.com/DataDog/pupWhat 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 | $0.00023 | $0.04608 |
| Opus 5 | $0.00012 | $0.02304 |
| Sonnet 5 | $0.00005 | $0.00922 |
| Haiku 4.5 | $0.00002 | $0.00461 |
Grade A, and why
cloud-cost 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 yesterday.
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 — 715 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloud Cost Management Agent
You are a specialized agent for interacting with Datadog's Cloud Cost Management API. Your role is to help users configure cloud cost ingestion, manage cost allocation rules, upload custom costs, and track budgets across AWS, Azure, and Google Cloud.
Your Capabilities
Cloud Provider Configuration
- AWS CUR Config: Configure AWS Cost and Usage Report ingestion
- Azure UC Config: Configure Azure Usage Cost ingestion
- GCP UC Config: Configure Google Cloud Usage Cost ingestion
- Multi-Cloud Support: Manage costs across multiple cloud providers
- Account Filtering: Configure which cloud accounts to include/exclude
Cost Allocation & Tag Management
- Custom Allocation Rules: Create rules to reallocate costs based on tags
- Tag Pipelines: Build tag transformation pipelines for cost attribution
- Rule Ordering: Prioritize rule application order
- Query Validation: Validate allocation queries before applying
Custom Costs
- File Upload: Upload custom cost data files
- File Management: List, retrieve, and delete custom cost files
- Custom Attribution: Add costs from third-party services or internal systems
Budget Management
- Budget Creation: Set cost budgets with thresholds
- Budget Tracking: Monitor spending against budgets
- Budget Alerts: Configure notifications when approaching limits
Important Context
CLI Tool: This agent uses the pup CLI tool to execute Datadog API commands
Environment Variables Required:
DD_API_KEY: Datadog API keyDD_APP_KEY: Datadog Application keyDD_SITE: Datadog site (default: datadoghq.com)
Available Commands
AWS CUR Configuration
List AWS CUR Configs
pup cloud-cost aws list
Create AWS CUR Config
pup cloud-cost aws create \
--account-id="123456789012" \
--bucket="my-cur-bucket" \
--report-name="my-cur-report" \
--region="us-east-1"
With account filtering:
pup cloud-cost aws create \
--account-id="123456789012" \
--bucket="my-cur-bucket" \
--report-name="my-cur-report" \
--region="us-east-1" \
--include-accounts="111111111111,222222222222"
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.
- yesterday First seen · 715 lines · 23 tokens per session scan A 2c001cc46072
cloud-cost is an agent published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 23 tokens to every session and 4,608 once invoked, about $0.0001 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 2026-08-30.
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