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 eugeniosegala/claude-connoisseur --skill cost-reviewgit clone --depth 1 https://github.com/eugeniosegala/claude-connoisseurWrote 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/eugeniosegala/claude-connoisseur/cost-review)<a href="https://agentmods.dev/skills/eugeniosegala/claude-connoisseur/cost-review"><img src="https://agentmods.dev/badge/skills/eugeniosegala/claude-connoisseur/cost-review/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/eugeniosegala/claude-connoisseur/cost-review"><img src="https://agentmods.dev/badge/skills/eugeniosegala/claude-connoisseur/cost-review.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 | $0.00013 | $0.01462 |
| Opus 5 | $0.00006 | $0.00731 |
| Sonnet 5 | $0.00003 | $0.00292 |
| Haiku 4.5 | $0.00001 | $0.00146 |
Grade A, and why
cost-review 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 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.
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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cost Review
Analyse the project's infrastructure and application configuration to produce a monthly cost estimate with optimisation suggestions.
Files and instructions: $ARGUMENTS
What to review
- Compute: VMs, containers, serverless functions, App Service plans, ECS/EKS tasks — instance types, vCPUs, memory, expected runtime hours
- Database: RDS, Aurora, DynamoDB, Cloud SQL, Cosmos DB, ElastiCache — instance class, storage, IOPS, read/write capacity, replicas
- Storage: S3, GCS, Azure Blob, EBS/EFS — storage class, expected volume, request rates, lifecycle policies
- Networking: NAT gateways, load balancers, data transfer (inter-region, internet egress), VPC endpoints, CDN
- Serverless: Lambda, Cloud Functions, Azure Functions — memory allocation, expected invocations, duration, provisioned concurrency
- Messaging & queues: SQS, SNS, EventBridge, Pub/Sub, Service Bus — message volume, retention, delivery retries
- Monitoring & logging: CloudWatch, Datadog, log ingestion/storage, custom metrics, alarms
- CI/CD & build: build minutes, artefact storage, container registry
- Third-party services: APIs with usage-based pricing, SaaS integrations, DNS, domain registration, SSL certificates
- Application-level costs: paid API calls found in code (AI/ML model APIs, payment gateways, geocoding, email/SMS providers like SendGrid, Twilio), HTTP requests to metered endpoints, SDK usage for pay-per-use services, webhook delivery volume
- Hidden costs: cross-AZ data transfer, DNS query volume, KMS key operations, Secrets Manager API calls, IP address charges
Where to look
Scan the project for infrastructure files, configuration, and application code. Common sources include:
- Terraform:
*.tf,*.tfvars— resource definitions, instance types, storage configs - CloudFormation / SAM:
template.yaml,template.json - CDK:
lib/*.ts,lib/*.py— infrastructure as code - Pulumi:
Pulumi.yaml,index.ts,__main__.py - Kubernetes:
*.yamlink8s/,manifests/,charts/— resource requests/limits, replica counts, PVCs - Docker Compose:
docker-compose.yml— service definitions, resource constraints - Serverless Framework:
serverless.yml— function configs, memory, timeout - Application config: environment variables, connection strings, queue URLs — hints at services in use
- Application code: HTTP client calls, SDK imports (
@anthropic-ai/sdk,stripe,twilio,@sendgrid/mail,boto3, etc.), API key references, webhook handlers — indicators of pay-per-use services - Dependency manifests:
package.json,requirements.txt,go.mod,Gemfile— paid SDK dependencies hint at service usage - CI/CD pipelines:
.github/workflows/,.gitlab-ci.yml,Jenkinsfile— build resources, runner types
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 · 110 lines · 13 tokens per session scan A 785a451314b3
cost-review is a skill published in the GitHub repository eugeniosegala/claude-connoisseur (9 stars, last pushed 4mo ago), licensed MIT. It adds 13 tokens to every session and 1,462 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 2026-08-31.
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