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 write-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/write-content)<a href="https://agentmods.dev/skills/inhouseseo/superseo-skills/write-content"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/write-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/write-content"><img src="https://agentmods.dev/badge/skills/inhouseseo/superseo-skills/write-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 6 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.02877 |
| Opus 5 | $0.00026 | $0.01438 |
| Sonnet 5 | $0.00011 | $0.00575 |
| Haiku 4.5 | $0.00005 | $0.00288 |
Grade A, and why
write-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 7d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Content
Writes a complete SEO-optimized article. Four phases: research → content type decision → knowledge extraction → write. Includes the full anti-AI-slop ruleset and the voice rules that make the output sound like a practitioner, not a press release.
Input
- Topic or target keyword (required)
- (Optional) An existing content brief — skip the research phase if provided
- (Optional) Expert interview output from the
expert-interviewskill
If no topic is given, ask for one before proceeding.
Business context persistence
Business context (audience, tone, language, brand voice, examples) shapes every article. Don't re-ask these questions every session.
First use: ask 4-5 questions and save the answers somewhere persistent in your agent's environment. Use the safest default first:
- Claude Code:
~/.claude/projects/<path>/memory/business-context.mdis the recommended default. Do NOT write to./CLAUDE.mdunless the user explicitly asks for it —CLAUDE.mdis the user's project instructions file and appending unsolicited content to it can surprise them on every subsequent agent turn. - Claude Desktop / Claude.ai: save to a Project's context or a pinned note.
- Cursor:
.cursor/rules/business-context.md. - Any other agent:
seo-context.mdin the working directory.
Always confirm the write location with the user before saving. If any of these are unavailable or the user objects, fall back to re-asking the questions each session.
Every use after that: load that file first. If missing, ask where the user saved it or re-ask the questions.
Questions on first use:
- What does the business do, and who is it for?
- What's the brand's tone of voice? (Professional / Casual / Technical / Authoritative / Conversational)
- What language should content be written in?
- What topics should NEVER appear? (compliance, competitor mentions, etc.)
- Who are the 2-3 main competitors?
Phase 1: Research
If a content brief wasn't provided, Google the topic and read the top 5 results. Note: what formats are ranking, what angles exist, what gaps you see. 3-5 bullet points, not a full brief.
What ships with it
34 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-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/eeat-signal-embedding.md 7.7 KB
- references/fact-checking.md 4.4 KB
- references/geo-optimization.md 7.6 KB
- references/human-input-framework.md 6.7 KB
- references/information-gain-writing.md 5.5 KB
- references/intent-matching.md 6.4 KB
- references/navboost-engagement.md 5.3 KB
- references/quality-scoring.md 6.9 KB
- references/seo-optimization-layer.md 6.6 KB
- references/serp-driven-writing.md 9.2 KB
- references/structured-data-snippets.md 6.0 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.
- 7d ago Changed · +3 lines 7d06b45fa619
- 11d ago First seen · 178 lines · 53 tokens per session scan A 122643924b2f
write-content is a skill published in the GitHub repository inhouseseo/superseo-skills (314 stars, last pushed 7d ago), licensed Apache-2.0. It adds 53 tokens to every session and 2,877 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.
Other skills, from other repositories
scrapecreators-api
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio…
outlier-post-finder
Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.
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.
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.
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.