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 sankeerthnagapuri/apache-polaris-iceberg-ai-mcp --skill connect_polarisgit clone --depth 1 https://github.com/sankeerthnagapuri/apache-polaris-iceberg-ai-mcpWrote 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/sankeerthnagapuri/apache-polaris-iceberg-ai-mcp/connect_polaris)<a href="https://agentmods.dev/skills/sankeerthnagapuri/apache-polaris-iceberg-ai-mcp/connect_polaris"><img src="https://agentmods.dev/badge/skills/sankeerthnagapuri/apache-polaris-iceberg-ai-mcp/connect_polaris/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/sankeerthnagapuri/apache-polaris-iceberg-ai-mcp/connect_polaris"><img src="https://agentmods.dev/badge/skills/sankeerthnagapuri/apache-polaris-iceberg-ai-mcp/connect_polaris.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 | $0.00037 | $0.00517 |
| Opus 5 | $0.00018 | $0.00259 |
| Sonnet 5 | $0.00007 | $0.00103 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade C, and why
connect_polaris_catalog scanned grade C 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.
Harvests environment variableshighData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
2. **Collect Credentials (One by One)**: Once the user chooses their authentication mode, collect the required connection details **one value at a time** to avoid overwhelming them. What it actually says
Connect to Polaris Catalog
When the user asks to connect to the Polaris catalog, you MUST NOT use the default authentication credentials automatically. Instead, follow these steps:
- Ask for Authentication Mode: Use the
ask_questiontool to ask the user which authentication mode they want to use:- Client Credentials (default): Requires Client ID, Client Secret, and Polaris URI.
- Bearer Token: Requires a pre-existing OIDC/JWT Token and Polaris URI.
- OIDC Password Credentials: Requires Token URL, Client ID, Client Secret, Username, Password, and Polaris URI.
- Collect Credentials (One by One): Once the user chooses their authentication mode, collect the required connection details one value at a time to avoid overwhelming them.
- For each parameter, ask a single question or present a single input request, providing a reasonable default if available, and wait for the user's response before asking for the next value.
- Do NOT ask for all values in a single response.
- Parameters to collect:
- For Client Credentials:
uri(default: "http://localhost:8181"), thenclient_id(default: "admin"), thenclient_secret(default: "password"). - For Bearer Token:
uri(default: "http://localhost:8181"), thentoken. - For OIDC Password Credentials:
uri(default: "http://localhost:8181")oauth_token_url(default: "http://localhost:8080/realms/polaris-realm/protocol/openid-connect/token")client_id(default: "polaris-client")client_secret(default: "sBbUvTG7qWGbmgwgxKmnEuzqpuE3uGAu")username(default: "sankeerth")password(type: "sensitive")
- For Client Credentials:
- Connect via MCP Tool: Use the
polaris-catalogMCP server'sconnecttool to execute the connection. Do not attempt to run python scripts or write code to connect; always use the MCP server tools for catalog operations.
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 · 30 lines · 37 tokens per session scan C 5a09b8078b25
connect_polaris_catalog is a skill published in the GitHub repository sankeerthnagapuri/apache-polaris-iceberg-ai-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 517 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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