Agent Content Pipeline

**Verdict:** A well-designed, safety-focused content workflow skill that is a strong choice for teams wanting AI-assisted drafting with strict human control over approval and posting. **What it does well** - Enforces a clear, auditable pipeline: `drafts → reviewed → revised → approved → posted`, all via local files and folders. - Keeps the agent’s powers limited to low-risk operations: writing drafts, reading content, applying feedback, moving only to `revised/`, and listing content. - Human must explicitly approve and post via the CLI (`content review`, `content post`), which is ideal for compliance- or brand-sensitive environments. - Provides practical platform guidance (tone, format, hashtags) for LinkedIn and X, plus experimental Reddit support with required `subreddit` metadata. **Key risks / limitations** - Still relies on the human using the CLI correctly; misuse (e.g., approving without proper review) can lead to low-quality or non-compliant posts. - Platform support is focused on LinkedIn + X; Reddit is explicitly experimental and subject to API/subreddit rule changes. - Requires a local Node/CLI setup and understanding of the file naming/frontmatter conventions, which may be a barrier for less technical users. - X posting depends on browser cookie/token extraction; any browser/auth changes can intermittently break posting and require manual intervention. **Best suited for** - Content teams or individuals who want AI to draft and revise posts but insist that humans retain final say over what goes live. - Organizations needing an auditable, file-based workflow (good fit with git) for social posts, including history of feedback threads. - Agent-based systems that should never directly post to external platforms, but can safely propose and iterate on content under human supervision.