ANTIGRAVITY AWESOME SKILLS 12.5.0 ADDS SECURITY FIXES AND AN AGENT HARNESS WORKFLOW
Antigravity Awesome Skills 12.5.0 ships security fixes and a new agent harness workflow for production coding agents. The [v12.5.0 release](https://github.com/...
Antigravity Awesome Skills 12.5.0 ships security fixes and a new agent harness workflow for production coding agents.
The v12.5.0 release confirms Codex Security and Dependabot remediations and adds skills like an ECL agent harness, done-claim verification, and performance audits. It targets users of Claude Code, Cursor, Codex CLI, Gemini CLI, and Antigravity.
Hosted agents change the review surface; the trace becomes the artifact. This observability write-up explains why sessions need evidence, not transcripts. The harness skill leans into that with CI gates, identity, and change tracking.
Ecosystem signals point the same way: Gentle-AI pushes per-phase model routing and MCP workflows, while oh-my-pi’s models.yml shows mature provider/model registries.
The update reduces known security risks across popular agent workflows and installation paths.
The new harness skill makes agent runs auditable and enforceable in CI, which you’ll need as agents move off laptops.
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terminal
Generate a harness with ecl-harness-engineer on a sample repo; wire it to CI and inspect traces/logs as the primary review artifact.
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terminal
Run dos-verify-done-claims against recent PRs to catch false "done" signals; compare to your team’s definition of done.
Legacy codebase integration strategies...
- 01.
Adopt the library in a sandboxed runner with least-privilege secrets; enable regression checks before granting write permissions.
- 02.
Gate agent-created PRs using the harness and done-claim verification; hold off on auto-merge until evidence quality is consistent.
Fresh architecture paradigms...
- 01.
Design hosted-first: per-session identities, explicit file scopes, and OpenTelemetry traces as required outputs.
- 02.
Keep model/provider choice configurable with a registry (e.g., models.yml) and consider per-phase model routing like Gentle-AI.
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