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 skills add teachskillofskills-ai/ContentForge-techshu --skill cf-variantsgit clone --depth 1 https://github.com/teachskillofskills-ai/ContentForge-techshuWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/teachskillofskills-ai/contentforge-techshu/cf-variants)<a href="https://agentmods.dev/skills/teachskillofskills-ai/contentforge-techshu/cf-variants"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-variants/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/teachskillofskills-ai/contentforge-techshu/cf-variants"><img src="https://agentmods.dev/badge/skills/teachskillofskills-ai/contentforge-techshu/cf-variants.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00162 | $0.04534 |
| Opus 5.5 | $0.00065 | $0.01814 |
| Sonnet 5.5 | $0.00032 | $0.00907 |
| Haiku 4.5 | $0.00016 | $0.00453 |
Grade A, and why
cf-variants 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 1mo 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.
This is a copy
100% identical to cf-variants — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Variant Generator — A/B Test Optimization
Generate multiple scored variations of any content element — headlines, hooks, CTAs, introductions, or conclusions — ranked by composite quality score and aligned to your optimization goal.
When to Use
Use /contentforge:cf-variants when you need:
- A/B test candidates for headlines, subject lines, or CTAs
- Higher-performing alternatives to existing content elements
- Data-informed decisions about which hook or intro to deploy
- Systematic variation rather than guessing what works better
- Brand-consistent alternatives that maintain voice while testing angles
For full content production, use /contentforge:create-content instead.
For refreshing entire pieces, use /contentforge:content-refresh instead.
What This Command Does
Takes a single content element and generates N variations (3-10), scores each across 6 quality dimensions, ranks by composite score weighted toward your optimization goal, and presents the top 3 with detailed reasoning and A/B test setup guidance.
Process Flow:
- Extract & Analyze — Parse the source element, identify its type, tone, structure, and current strengths/weaknesses
- Generate Variations — Create N distinct alternatives using Humanizer patterns (sentence variety, natural phrasing) and Reviewer scoring logic (quality dimensions)
- Score Each Variation — Rate across 6 dimensions (0-10 scale)
- Rank & Recommend — Weight scores by optimization goal, present top 3 with explanations
- A/B Test Guidance — Provide test setup recommendations (sample size, duration, success metrics)
Required Inputs
Minimum Required:
- Source Content — The existing element to generate variations for (or a topic/brief if creating from scratch)
- Element Type —
headline|hook|cta|intro|conclusion
Optional:
- Variation Count — Number of variations to generate (3-10, default: 5)
- Optimization Goal —
clicks|engagement|conversions|readability(default:engagement) - Brand — Brand profile to enforce voice/tone (if registered via
/contentforge:brand-setup) - Target Audience — Who the content is for (influences language and appeal)
- Tone Override — Override brand default (authoritative, conversational, technical, witty)
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.
- 1mo ago First seen · 418 lines · 162 tokens per session scan A ea9c1b55de4e
cf-variants is a skill published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 2mo ago), licensed MIT. It adds 162 tokens to every session and 4,534 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to cf-variants, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
sxo
Search Experience Optimization (SXO), the bridge between SEO and UX/CRO. Audits the journey from the SERP click to the on-page goal: click-through factors (title, meta, rich results), then post-click signals that keep users and drive conversions: above-the-fold relevance and intent match, page speed / Core Web Vitals…
meta-tags-optimizer
Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media…
chief-strategy-officer
Owns where the business plays and how it wins over a multi-year horizon — portfolio choices, corporate development, strategic partnerships, and planning under uncertainty. Use this for a decision about which markets or businesses to be in, whether to build, buy, or partner, how to allocate capital across business…
chief-revenue-officer
Owns the revenue engine end to end: sales, monetization, pricing, customer success, retention, and partnerships. Use this for pricing and packaging decisions, sales strategy and coverage, forecast and pipeline health, churn and expansion, partner and channel strategy, or when marketing-sourced demand is not…
paid-advertising
Plans, runs, and optimizes paid acquisition across search, social, and display — account structure, targeting, creative, bidding, budget, and the analysis that says whether to scale or stop. Use this to set up or restructure campaigns, write and iterate ad creative, diagnose rising costs or falling performance, decide…
interface-craft
Raises the visual and interaction quality of an interface — layout, hierarchy, type, spacing, density, and the details that separate a considered product from a generic one. Use this when a screen works but looks unfinished or default, when a layout feels crowded or arbitrary, when a page has no clear focal point, or…