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 aAAaqwq/AGI-Super-Team --skill content-creatorgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/content-creator)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/content-creator"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-creator/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/aaaaqwq/agi-super-team/content-creator"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/content-creator.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 | $0.00040 | $0.01601 |
| Opus 5 | $0.00020 | $0.00800 |
| Sonnet 5 | $0.00008 | $0.00320 |
| Haiku 4.5 | $0.00004 | $0.00160 |
Grade A, and why
content-creator 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 4d 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
94% identical to content-creator — 8 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Creator
Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.
When to Use
Use this skill when writing blog posts, creating social media content, establishing brand voice, optimizing content for SEO, or planning content calendars.
Keywords
content creation, blog posts, SEO, brand voice, social media, content calendar, marketing content, content strategy, content marketing, brand consistency, content optimization, social media marketing, content planning, blog writing, content frameworks, brand guidelines, social media strategy
Quick Start
For Brand Voice Development
- Run
scripts/brand_voice_analyzer.pyon existing content to establish baseline - Review
references/brand_guidelines.mdto select voice attributes - Apply chosen voice consistently across all content
For Blog Content Creation
- Choose template from
references/content_frameworks.md - Research keywords for topic
- Write content following template structure
- Run
scripts/seo_optimizer.py [file] [primary-keyword]to optimize - Apply recommendations before publishing
For Social Media Content
- Review platform best practices in
references/social_media_optimization.md - Use appropriate template from
references/content_frameworks.md - Optimize based on platform-specific guidelines
- Schedule using
assets/content_calendar_template.md
Core Workflows
Establishing Brand Voice (First Time Setup)
When creating content for a new brand or client:
-
Analyze Existing Content (if available)
python scripts/brand_voice_analyzer.py existing_content.txt -
Define Voice Attributes
- Review brand personality archetypes in
references/brand_guidelines.md - Select primary and secondary archetypes
- Choose 3-5 tone attributes
- Document in brand guidelines
- Review brand personality archetypes in
-
Create Voice Sample
- Write 3 sample pieces in chosen voice
- Test consistency using analyzer
- Refine based on results
What ships with it
6 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.
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.
- 4d ago First seen · 255 lines · 40 tokens per session scan A 0b5de4657306
content-creator is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,601 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to content-creator, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
deslop
The optimization pass, defined - delete before you add, one smell class per pass, behaviour pinned by a test that ran BEFORE the edit. Lints a SKILL.md and prose by the same instinct. Use for the per-story optimization pass or when code has grown noisy without growing capable.
root-cause
Find the mechanism behind a failure instead of patching its symptom - reproduce first, one variable per experiment with the prediction written before the run, exit by naming the mechanism and pinning it with a failing test. Use for a bug, an unexplained red test, or a failure that will not reproduce.
guidance
Add, edit, or audit guidance docs. Default writes guidance for Claude (.claude/guidance/, Markdown, moflo universal rules). -h writes for human readers (docs/, lighter ruleset). --html emits HTML with a minimal default stylesheet instead of Markdown. -a audits the .claude/guidance/ directory.
eldar
Consult the Eldar — audit a project's moflo + Claude Code setup for portable, high-leverage gaps and guide remediation. Default mode is read-only audit with severity-ranked findings; --fix presents an interactive triage menu and walks the user through each chosen fix (healer, missing CLAUDE.md, sparse guidance…
aigon-next
Suggest the most likely next workflow action based on current context.
review-deep
Drive the deep-review phase of an automated PR review. Consumes the walkthrough, runs the deterministic deep-review workflow (parallel lenses → adversarial validation → code-enforced threshold/caps), drafts the surviving findings, and completes the review run.