Content gate
Open-source AI CMO for Claude Code: marketing agent skills for SEO, content, email, ads, launches, CRO, AEO/GEO, and AI-search visibility.
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What its author says it does
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Run the full quality gate on any content file. Score against 28 rules, apply policy, show detailed scorecard with fix suggestions. Works on any markdown file.
SKILL.md
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/content-gate — Quality Assurance
See also:
/voice-gate— the complementary subjective-voice pass. Run/content-gatefirst for mechanical rule checks (banned words, SEO lint, Four U's), then/voice-gatefor cadence, signature-move overuse, and voice-guide violations that require interpretation.
Run the full quality gate on any content. Scores against 28 rules across 4 categories, applies the approval policy, and produces a detailed scorecard with fix suggestions.
Can be used standalone on any file, or as part of the content sprint chain after /content-write.
Preamble
source "$(dirname "$0")/../lib/preamble.sh"
Arguments
Optional:
- file path: Path to a markdown file to score. If omitted, uses the most recent draft from
~/.kai-marketing/drafts/. - --policy: Gate policy name (blog-publish, linkedin-article, cold-email, default). Auto-detected from file if omitted.
Example: /content-gate path/to/article.md --policy blog-publish
Example: /content-gate (uses most recent draft)
The Skill
Step 1: Find the Content
If a file path is provided in ARGUMENTS, use that file.
If no file path, find the most recent .md file in ~/.kai-marketing/drafts/. If no drafts exist, tell user: "No draft found. Run /content-write first, or provide a file path: /content-gate path/to/file.md"
Step 2: Detect Policy
If --policy is specified, use it. Otherwise, detect from the filename or content:
- Contains "blog" or in drafts/ →
blog-publish - Contains "linkedin" →
linkedin-article - Contains "email" or "cold" →
cold-email - Contains "ad" or "meta" or "google" → default (no SEO lint)
- Otherwise →
default
Step 3: Run the Gate
Run two commands:
Score the content:
kai-gate score {file} --format json
Run gate decision:
kai-gate gate {file} --policy {policy}
Step 4: Display the Scorecard
Present the results:
QUALITY GATE SCORECARD
══════════════════════════════════════════
File: {filename}
Policy: {policy}
OVERALL: {score}/100 ({grade}) — {PASS|FAIL|HOLD}
┌─────────────────────────┬───────┬────────┐
│ Category │ Score │ Weight │
├─────────────────────────┼───────┼────────┤
│ Algorithmic Authorship │ {aa}%│ 35% │
│ GEO/AEO Signals │ {geo}%│ 20% │
│ Content Structure │ {cs}%│ 25% │
│ Four U's │{4u}/16│ 20% │
├─────────────────────────┼───────┼────────┤
│ TOTAL │{total}│ 100% │
└─────────────────────────┴───────┴────────┘
VIOLATIONS ({count}):
{severity} {rule_id}: {description}
Fix: {suggestion}
Line: {line_number}
TOP FIXES:
1. {most impactful fix}
2. {second most impactful fix}
3. {third most impactful fix}
Step 5: Gate Decision
Based on the score and policy:
- PASS (score >= threshold, no tier-1 banned words): "Content approved. Ready to publish."
- HOLD (score close to threshold or policy=hold): "Content held for review. Score: {score}. Threshold: {threshold}."
- FAIL (score below threshold or tier-1 violations): "Content rejected. {N} violations must be fixed."
If FAIL, offer to auto-fix: "Want me to revise the draft to fix these {N} violations? (Only failing rules will be touched — passing sections protected.)"
Step 6: Save Gate Result
Save the gate result to ~/.kai-marketing/gates/{date}-{slug}.json:
{"file": "{filename}", "policy": "{policy}", "score": {score}, "grade": "{grade}", "status": "{pass|hold|fail}", "violations_count": {N}, "timestamp": "{ISO datetime}"}
Error Handling
- File not found: Show helpful message with file path
- SQLite locked: Retry once after 1 second, then warn user
- LLM unavailable (Four U's scoring): Score without LLM, note "Four U's scored rule-based only (LLM unavailable)"
Chain State
Reads from: ~/.kai-marketing/drafts/{date}-{slug}.md (or any file)
Writes to: ~/.kai-marketing/gates/{date}-{slug}.json