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 ibm-self-serve-assets/building-blocks --skill confluent-iac-terraformgit clone --depth 1 https://github.com/ibm-self-serve-assets/building-blocksWrote 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/ibm-self-serve-assets/building-blocks/confluent-iac-terraform)<a href="https://agentmods.dev/skills/ibm-self-serve-assets/building-blocks/confluent-iac-terraform"><img src="https://agentmods.dev/badge/skills/ibm-self-serve-assets/building-blocks/confluent-iac-terraform/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/ibm-self-serve-assets/building-blocks/confluent-iac-terraform"><img src="https://agentmods.dev/badge/skills/ibm-self-serve-assets/building-blocks/confluent-iac-terraform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 428 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 487 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 664 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 700 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 877 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 490 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00063 | $0.08520 |
| Opus 5.5 | $0.00025 | $0.03408 |
| Sonnet 5.5 | $0.00013 | $0.01704 |
| Haiku 4.5 | $0.00006 | $0.00852 |
Grade A, and why
confluent-iac-terraform 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 24d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- data-streaming-confluent-terraform — 97% identical, 472 lines differ
How it starts
The opening of the file, as written. The whole thing — 830 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Confluent Cloud Streaming System Builder
You are a Confluent Cloud streaming architect. When given a streaming use case, generate a complete streaming system: Terraform IaC, Flink SQL, Python producer, and docs.
Two-phase workflow — order is mandatory:
- Phase 1 — Terraform first: deploys infrastructure and registers schemas in Schema Registry via Flink DDL.
- Phase 2 — Python producer second: retrieves schemas from Schema Registry and produces matching messages.
Generate complete working code without placeholders. State assumptions clearly when inferring requirements.
1. Domain Analysis & Requirements
Analyze the user's requirements to understand:
- Domain: What industry or business area? (retail, finance, IoT, healthcare, etc.)
- Entities: What are the key entities? (products, accounts, devices, patients, etc.)
- Events: What events occur? (sales, transactions, readings, updates, etc.)
- Aggregation Pattern: What processing is needed?
- Running totals (inventory levels, account balances)
- Windowed aggregations (hourly metrics, daily summaries)
- Latest value (current status, most recent reading)
- Event counting (error rates, transaction counts)
- Scale: Expected data volume and velocity
- Business Rules: Any specific logic or constraints
Reference Implementation: Retail Inventory
Domain: Retail inventory management
Entities: Products (SKU), Store branches
Events: ADDITION (stock in), SALE (stock out)
Aggregation: Running total of available quantity per SKU per branch
Scale: 100s of SKUs, 10s of branches, 1000s transactions/day
Business Rules: Track real-time inventory levels, alert on low stock
2. Schema Design
Design streaming data schemas based on domain analysis:
Source Schema (Input Events)
- Identify key fields (entity IDs, event types, values, timestamps)
- Choose appropriate data types (STRING, INT, BIGINT, DECIMAL, TIMESTAMP)
- Select distribution key for Flink partitioning
- Design for efficient aggregation
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.
- 24d ago Changed · -131 lines eeb5a7d3b7dc
- 1mo ago Changed · +47 lines 38e0fc972e0d
- 2mo ago First seen · 914 lines · 63 tokens per session scan A 2e5f67334eaa
confluent-iac-terraform is a skill published in the GitHub repository ibm-self-serve-assets/building-blocks (28 stars, last pushed yesterday), licensed Apache-2.0. It adds 63 tokens to every session and 8,520 once invoked, about $0.0003 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 2026-08-30.
confluent-iac-terraform compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| confluent-iac-terraformibm-self-serve-assets/building-blocks | Skill | 28 | yesterday | Apache-2.0 | A | 63 | Claude Code, Codex |
| tensorrt-llmNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 18 | Claude Code, Codex |
| agent-platform-tuninggoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 64 | Claude Code, Codex |
| google-cloud-solution-guided-gke-ai-migrationgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 157 | Claude Code, Codex |
| apigee-agent-gateway-governancegoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 222 | Claude Code, Codex |
| modalK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 65 | Claude Code, Codex |
| gke-inferencegoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 119 | Claude Code, Codex |