Borrowing it
Nothing to install: this file belongs to felixAnhalt/figma-to-code-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/felixAnhalt/figma-to-code-mcp/main/.opencode/commands/ci.mdgit clone --depth 1 https://github.com/felixAnhalt/figma-to-code-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/commands/felixanhalt/figma-to-code-mcp/ci)<a href="https://agentmods.dev/commands/felixanhalt/figma-to-code-mcp/ci"><img src="https://agentmods.dev/badge/commands/felixanhalt/figma-to-code-mcp/ci/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/commands/felixanhalt/figma-to-code-mcp/ci"><img src="https://agentmods.dev/badge/commands/felixanhalt/figma-to-code-mcp/ci.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 | $0.00022 | $0.00075 |
| Opus 5.5 | $0.00009 | $0.00030 |
| Sonnet 5.5 | $0.00004 | $0.00015 |
| Haiku 4.5 | $0.00002 | $0.00007 |
Grade A, and why
ci 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 2mo 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.
What it actually says
Run the full quality gate with raw output shown:
!pnpm type-check
!pnpm lint
!pnpm test
Report which step failed, and for test failures, show the exact assertion error.
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.
- 2mo ago First seen · 15 lines · 22 tokens per session scan A 5d837ae72d30
ci is a command published in the GitHub repository felixAnhalt/figma-to-code-mcp (7 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 75 once invoked, about $0.0001 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 2026-08-31.
Other commands, from other repositories
verify
A verification command for FluxDown changes. It runs the checks required by the project, such as formatting, linting changed lines, crate checks, focused tests, image contracts, and CI path checks.
judge-ci-red
Load when: loom-daemon forge wait-checks printed LOOM-CHECKS-RED, or post-verdict.sh … approved exited 6, and a CI-failing verdict is next.
write-test-plan
Generate or update change test plan.
check-fix
Execute quality gates, fix any issues found, and create a single high-quality Conventional Commit summarizing all changes made.
test-setup
Scaffold test framework and CI pipeline.
harness:cicd-fleet
Autonomous CI/CD-remediation orchestrator — triage the red CI/CD-run and flaky-test backlog by cause, fan out worktree-isolated subagents that run the real deflake/heal pipeline, independently verify each fix by artifact and deterministic all-OS CI, and hand back a batch of remediation PRs for one bulk human review.…