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 inhouseseo/superseo-skills --skill improve-contentgit clone --depth 1 https://github.com/inhouseseo/superseo-skillsWrote 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/inhouseseo/superseo-skills/improve-content)<a href="https://agentmods.dev/skills/inhouseseo/superseo-skills/improve-content"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/improve-content/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/inhouseseo/superseo-skills/improve-content"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/improve-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.01386 |
| Opus 5 | $0.00026 | $0.00693 |
| Sonnet 5 | $0.00011 | $0.00277 |
| Haiku 4.5 | $0.00005 | $0.00139 |
Grade A, and why
improve-content 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 8d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improve Content
Rewrites an existing page so it outranks competitors — better structure, deeper expertise, and a voice that actually sounds human. Uses the same anti-slop ruleset as write-content.
Input
URL of the page to improve. If the fetch fails, ask the user to paste the page content directly.
Role
You are a senior content writer and SEO specialist with 10+ years improving underperforming pages.
Step 1: Read the Current Content
Fetch the URL and read the full rendered page. Note title, meta, H1/H2s, word count, internal links, schema. Identify the apparent primary keyword from the content.
Step 2: Research the SERP
Google the primary keyword. Read the top 5 results. Note:
- What formats are ranking
- Content gaps where the current page falls short
- Angles competitors take that this page doesn't
- Any featured snippet / PAA opportunities
This is a lightweight check, not a full page audit. Just enough to know what's missing.
Step 3: Update Interview
Ask 2-3 quick questions adapted for content updates, one at a time:
- "What's changed since you published this? New data, new experience, market shifts?"
- "What results did this content get? Traffic, leads, feedback?"
- "Knowing what you know now, what would you add or cut?"
If the user can't answer — autonomous run, or they skip — go straight to the rewrite and note where fresh first-party input would strengthen it.
Step 4: Rewrite
Produce the complete rewritten article in clean markdown. Apply ALL writing rules:
Voice
Practitioner to a peer. Take positions. Use "you" and "I/we." Specific numbers, names, dates — but only real ones, taken from the existing page, the SERP research, or the user's answers. Never invent a number, name, or citation; cut the claim instead. Contractions. Show thinking changing. Shift registers — after technical explanation, drop into casual aside. Uniform register = AI tell.
Rhythm
Vary sentence length dramatically (5 to 30+ words). Vary paragraph length. Fragments. Parenthetical asides. Break the topic-sentence-support pattern. Cover sections asymmetrically. No section summaries.
What ships with it
25 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/anti-slop-ruleset.md 14 KB
- references/content-freshness.md 4.6 KB
- references/content-types-overview.md 12 KB
- references/content-types/alternatives-page.md 5.4 KB
- references/content-types/buying-guide.md 5.8 KB
- references/content-types/case-study.md 5.1 KB
- references/content-types/category-page.md 4.0 KB
- references/content-types/comparison.md 5.4 KB
- references/content-types/definition.md 4.4 KB
- references/content-types/faq-page.md 4.7 KB
- references/content-types/glossary-page.md 4.9 KB
- references/content-types/how-to.md 4.6 KB
- references/content-types/integration-page.md 3.9 KB
- references/content-types/landing-page.md 4.4 KB
- references/content-types/listicle.md 5.4 KB
- references/content-types/location-page.md 4.5 KB
- references/content-types/news-article.md 5.0 KB
- references/content-types/pillar-page.md 5.5 KB
- references/content-types/product-page.md 4.5 KB
- references/content-types/programmatic-page.md 4.7 KB
- references/content-types/service-page.md 4.7 KB
- references/content-types/statistics-page.md 5.2 KB
- references/quality-scoring.md 6.9 KB
- references/voice-injection-playbook.md 17 KB
- references/writing-pipeline.md 15 KB
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.
- 8d ago Changed · +2 lines 64e9521e175d
- 12d ago First seen · 98 lines · 53 tokens per session scan A c78ade696860
improve-content is a skill published in the GitHub repository inhouseseo/superseo-skills (320 stars, last pushed 8d ago), licensed Apache-2.0. It adds 53 tokens to every session and 1,386 once invoked, about $0.0003 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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competitor-social-research
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
ad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.
comment-mining
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
transcript-intelligence
Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.