Content Pipeline (Internal)

Name: Content Pipeline (Internal)
Rating: 72 (1 reviews)
Author: bytesagain

Trust Score 72/100

Runs an end-to-end content pipeline from skill list to published article and draft social posts; intended as an internal automation that writes to Supabase and

triggers:content pipelinegenerate articlerun pipelinepublish articletweet draft

GitHub SKILL.md

What it does

Automates a three-step content pipeline: add use-cases to a codebase, generate HTML articles and write them to Supabase, and produce draft social posts. It's designed to run as an internal tool that can push changes, write to a database, and save tweet drafts.

When to use it

Use when you want to bulk-generate or update site content from a list of skills or topics (internal publishing workflows). Not intended for public ClawHub distribution — the skill contains internal keys and project paths.

What's included

Scripts: a scripts/ folder with shell helpers for run/usecase/article/tweet steps
References: none detected
Instructions: command examples for running full pipeline or individual steps, env var requirements (Grok/XAI keys, Supabase URL/Key, SITE_DIR), and expected outputs (Supabase articles, Vercel deploys, /tmp tweet drafts).

Compatible agents

Works with agent runners that can execute shell scripts and manage secrets (Claude Code, local OpenClaw hosts, CI runners).

Audit Summary

Content pipeline skill for BytesAgain's internal workflow: generates use-cases entries, AI-written articles via Grok/XAI, and tweet drafts. Script runs cleanly in help mode. Well-structured bash+python heredoc approach with idempotent checks. Security concern: auto git push to main without confirmation. Niche tool tied to a specific site's infrastructure.

Watch Out

Auto-pushes to git main branch without confirmation — could deploy unintended changes
Requires XAI_API_KEY, SUPABASE_URL, SUPABASE_KEY, and SITE_DIR env vars
Python code embedded in bash heredocs makes independent testing harder
Hardcoded site path default (/home/admin/bytesagain-next)

Notes

Internal tool with legitimate purpose. Main security concern is the auto git push to production without user confirmation. SKILL.md examples show inline API key patterns which could encourage bad practices, though the actual script uses env vars correctly.

Information

Repository: ai-skills
Stars: 9

Trust Score

Overall72

Security77

Code Quality72

Architecture58

Usefulness42

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