[Hacklone]

opencode-custom-provider

Project repository: https://github.com/Hacklone/opencode-custom-provider

Category and description:

• Development & Workflow
• Connect any OpenAI-compatible API to OpenCode in the TUI — no config files, no env vars.

How you verified the project works:

• Using it daily in my own opencode instance.
• Covered with automated tests

Optional Guard contribution guide

If you maintain this project and want to contribute an optional HOL Guard
profile for its CLI or MCP operations, you can request a project-specific
Extension Builder guide below. You review the generated files and submit your
own contribution PR. Local Guard protection is free and needs no account;
contributed profiles stay off until users enable them.

• Send me the optional HOL Guard extension contribution guide.

This request is independent of your listing review, scanner requirements,
Registry trust score, and backlink. Leaving it unchecked changes none of those.

[github-actions]

@Hacklone, The centralized scan returned failure; it did not establish a score of at least 80. Keep the contribution blocked until the centralized score is available and meets the threshold. Finding severities are advisory for listing eligibility. [Open the source scan job summaries and download sanitized JSON/SARIF findings](https://github.com/hashgraph-online/awesome-ai-plugins/actions/runs/40064002793). Look for the `scan-findings-pr-937-` artifact. Reports include rule IDs and file locations, but omit source snippets and credential values. A missing report indicates a scanner execution problem, not a passing scan. Keep this contribution unmerged until a completed centralized score of at least 80 is available; finding severities are advisory and source-repository scanner CI is optional. If the completed report confirms a score below 80, source-repository scanner CI is recommended, not required: use the SHA-pinned workflow in SCANNER_GUIDE.md, reproduce locally, run the same pinned scanner on push and pull requests, fix or document rule-level findings, link the source run, rerun the catalog scan, and request review. See [contribution requirements](https://github.com/hashgraph-online/awesome-ai-plugins/blob/main/CONTRIBUTING.md) and [scanner guide](https://github.com/hashgraph-online/awesome-ai-plugins/blob/main/SCANNER_GUIDE.md). [Latest sweep](https://github.com/hashgraph-online/awesome-ai-plugins/actions/runs/40064002793).