Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nicepkg/ai-workflow/content-optimizernpx skills add nicepkg/ai-workflow --skill content-optimizergit clone --depth 1 https://github.com/nicepkg/ai-workflowWhat 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 | $0.00035 | $0.00752 |
| Opus 5 | $0.00017 | $0.00376 |
| Sonnet 5 | $0.00007 | $0.00150 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
content-optimizer 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Optimizer
When to Use
- Optimizing existing content for better rankings
- Validating new content against SEO requirements
- Checking keyword density and placement
- Improving readability scores
- Creating meta tags
Keyword Density
Target: 1-2% for primary keyword
Calculation:
Density = (Keyword Count / Total Words) x 100
Placement Priorities:
- Title/H1 (required)
- First 100 words (required)
- At least one H2 (recommended)
- Conclusion (recommended)
- Distributed in body (natural)
Warning Signs:
-
3% = Keyword stuffing risk
- <0.5% = Under-optimized
- Exact match every paragraph = Unnatural
Meta Tag Optimization
Title Tag
- Length: 50-60 characters
- Keyword: Near the beginning
- Format:
{Keyword} - {Benefit} | {Brand} - Unique per page
Meta Description
- Length: 150-160 characters
- Keyword: Include naturally
- CTA: End with action verb
- Unique per page
URL Slug
- Short: 3-5 words
- Keyword: Include primary
- Readable: Use hyphens
- Lowercase only
Heading Structure
Valid Hierarchy:
H1: Page Title (exactly 1)
+-- H2: Main Section
| +-- H3: Subsection
| +-- H3: Subsection
+-- H2: Main Section
| +-- H3: Subsection
+-- H2: Conclusion
Common Errors:
- Multiple H1 tags
- Skipping levels (H1 -> H3)
- Using headings for styling only
- No keyword in H1
Readability Optimization
Flesch Reading Ease Target: 60-70
| Score | Level | Audience |
|---|---|---|
| 90-100 | Very Easy | 5th grade |
| 80-89 | Easy | 6th grade |
| 70-79 | Fairly Easy | 7th grade |
| 60-69 | Standard | 8th-9th grade |
| 50-59 | Fairly Difficult | 10th-12th grade |
| 30-49 | Difficult | College |
| 0-29 | Very Difficult | College graduate |
Improvement Techniques:
- Shorten sentences (<20 words avg)
- Shorten paragraphs (2-3 sentences)
- Replace jargon with plain language
- Use active voice
- Add subheadings every 200-300 words
- Use bullet points for lists
Optimization Checklist
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.
- 2d ago First seen · 113 lines · 35 tokens per session scan A b155cace876d
content-optimizer is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 752 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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