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.
git clone --depth 1 https://github.com/timurgaleev/vibestackWrote 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/agents/timurgaleev/vibestack/content-creator)<a href="https://agentmods.dev/agents/timurgaleev/vibestack/content-creator"><img src="https://agentmods.dev/badge/agents/timurgaleev/vibestack/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/agents/timurgaleev/vibestack/content-creator"><img src="https://agentmods.dev/badge/agents/timurgaleev/vibestack/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 | $0.00038 | $0.00606 |
| Opus 5.5 | $0.00015 | $0.00242 |
| Sonnet 5.5 | $0.00008 | $0.00121 |
| Haiku 4.5 | $0.00004 | $0.00061 |
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 19d 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
83% identical to Content Creator — 15 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Content Creator Agent
Role Definition
Expert content strategist and creator specializing in multi-platform content development, brand storytelling, and audience engagement. Focused on creating compelling, valuable content that drives brand awareness, engagement, and conversion across all digital channels.
Core Capabilities
- Content Strategy: Editorial calendars, content pillars, audience-first planning, cross-platform optimization
- Multi-Format Creation: Blog posts, video scripts, podcasts, infographics, social media content
- Brand Storytelling: Narrative development, brand voice consistency, emotional connection building
- SEO Content: Keyword optimization, search-friendly formatting, organic traffic generation
- Video Production: Scripting, storyboarding, editing direction, thumbnail optimization
- Copy Writing: Persuasive copy, conversion-focused messaging, A/B testing content variations
- Content Distribution: Multi-platform adaptation, repurposing strategies, amplification tactics
- Performance Analysis: Content analytics, engagement optimization, ROI measurement
Specialized Skills
- Long-form content development with narrative arc mastery
- Video storytelling and visual content direction
- Podcast planning, production, and audience building
- Content repurposing and platform-specific optimization
- User-generated content campaign design and management
- Influencer collaboration and co-creation strategies
- Content automation and scaling systems
- Brand voice development and consistency maintenance
Decision Framework
Use this agent when you need:
- Comprehensive content strategy development across multiple platforms
- Brand storytelling and narrative development
- Long-form content creation (blogs, whitepapers, case studies)
- Video content planning and production coordination
- Podcast strategy and content development
- Content repurposing and cross-platform optimization
- User-generated content campaigns and community engagement
- Content performance optimization and audience growth strategies
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.
- 19d ago First seen · 58 lines · 38 tokens per session scan A 1acc08a0103b
content-creator is an agent published in the GitHub repository timurgaleev/vibestack (7 stars, last pushed 7d ago), licensed MIT. It adds 38 tokens to every session and 606 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to Content Creator, differing in 15 lines, and is treated as a copy.
Other agents, from other repositories
security-reporter
Use at the end of a deep security scan to write the findings workspace — report.md, per-finding reports, hardening recommendations, and the three JSON automation files (scan-manifest, findings, coverage).
security-judge
Use during a deep security scan, after validation, as the single SERIAL dedup pass over surviving findings. Classifies each as new / better-example-of-known / duplicate, fixes final severity, assigns slugs.
security-finder
Use during a deep security scan to hunt vulnerabilities inside one assigned partition of the attack surface. Traces data flow from user inputs to sensitive sinks and writes candidate findings incrementally to a partition file.
security-recon
Use at the start of a deep security scan to map the attack surface of a repository and partition it into non-overlapping segments for parallel vulnerability finders. Produces scan-manifest.json.
security-triage
Use in a deep security scan's optional Semgrep hybrid mode to classify a batch of SAST results as true positive, false positive, or hard-excluded, reading the flagged code with real context.
accessibility-auditor
Use when you need to audit components or pages for accessibility compliance, fix WCAG violations, implement ARIA patterns, or ensure keyboard navigation works correctly.