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 skills/fivetran/connector_sdk_tools/deploy-connectornpx skills add fivetran/connector_sdk_tools --skill deploy-connectorgit clone --depth 1 https://github.com/fivetran/connector_sdk_toolsWrote 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/fivetran/connector_sdk_tools/deploy-connector)<a href="https://agentmods.dev/skills/fivetran/connector_sdk_tools/deploy-connector"><img src="https://agentmods.dev/badge/skills/fivetran/connector_sdk_tools/deploy-connector.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.01390 |
| Opus 5 | $0.00015 | $0.00695 |
| Sonnet 5 | $0.00006 | $0.00278 |
| Haiku 4.5 | $0.00003 | $0.00139 |
Grade A, and why
deploy-connector 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 6d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context: This plugin is for the Fivetran Connector SDK (CSDK). "CSDK" is shorthand for "Connector SDK".
Deploy Fivetran Connector
FIRST: Read sdk-reference.md from the plugin directory to load SDK rules and patterns.
Package and deploy the connector in the current directory.
Step 1: Pre-Deployment Validation
Verify the connector is ready:
- Files exist:
connector.py,configuration.json,requirements.txt,README.md - Code quality: Read
connector.pyand check for:- Both
schema()andupdate()functions present connector = Connector(update=update, schema=schema)in global scopeif __name__ == "__main__": connector.debug()entry point- No forbidden patterns (
Dict[str, Any],Generator[op.Operation, ...],op.Operationin type hints)
- Both
- Configuration:
configuration.jsonis JSON.enter_configuration.pyencrypts every field by default using inlineENCRYPTED:v1:<key_id>:local-fernet:values, but user-chosen plaintext values are also accepted. Do not read, print, copy, or deploy plaintext configuration values in chat.
Step 2: Run Final Test
Use the secure runner:
python <plugin>/tools/run_connector.py <connector_directory>
If the test fails, classify the error (INFRA / FIRST_RUN / CODE) and — for CODE errors — apply the fixer workflow (see workflows/fixer.md in the plugin, or — in plugins that support subagents — invoke the connector-fixer subagent).
Step 3: Deploy
The deploy tool auto-discovers the destination via the Fivetran REST API — you only need to run:
python <plugin>/tools/deploy_connector.py <connector_directory>
The tool:
- Reads
FIVETRAN_API_KEYfrom the environment. - Calls
GET /v1/groupsto discover the destination (group) name, picking the single one automatically or prompting if more than one exists. - Derives the connection name from the connector directory name (sanitized to Fivetran rules). To set it explicitly, pass
--connection <name>(must begin with_or a lowercase letter; only_, lowercase, digits). - Invokes
fivetran deploy --destination <name> --connection <name> --forcewith the runtime configuration passed via named pipe after decrypting configuration values in memory.--forceauto-answers the overwrite prompts so redeploys don't hang. - Captures and prints the Connection ID from the deploy log.
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.
- 6d ago First seen · 121 lines · 31 tokens per session scan A cc3e52caecd4
deploy-connector is a skill published in the GitHub repository fivetran/connector_sdk_tools (87 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 1,390 once invoked, about $0.0002 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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