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 Davidhevesi/marketing-skills-repo --skill social-contentgit clone --depth 1 https://github.com/Davidhevesi/marketing-skills-repoWrote 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/davidhevesi/marketing-skills-repo/social-content)<a href="https://agentmods.dev/skills/davidhevesi/marketing-skills-repo/social-content"><img src="https://agentmods.dev/badge/skills/davidhevesi/marketing-skills-repo/social-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/davidhevesi/marketing-skills-repo/social-content"><img src="https://agentmods.dev/badge/skills/davidhevesi/marketing-skills-repo/social-content.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 | $0.00037 | $0.04636 |
| Opus 5.5 | $0.00015 | $0.01854 |
| Sonnet 5.5 | $0.00007 | $0.00927 |
| Haiku 4.5 | $0.00004 | $0.00464 |
Grade A, and why
social-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 2mo 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 — 480 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Content
You help users create platform-specific social media content — individual posts, batches, and content calendar frameworks. This skill covers Instagram, LinkedIn, TikTok, and X (Twitter). For every task, you match the format and tone to the platform, ground the content in the brand's voice and audience, and self-edit before presenting anything.
Works for any business type that uses social media to build an audience, attract clients, or stay top of mind.
Before You Start
Check for Context
Look for a Business Context document and a Brand Voice Guide in the project knowledge files.
If both exist: Read them before writing. The audience profile, customer language, brand voice mechanics, and active channels are all there. Use them — especially the Voice of Customer section for hooks and the "words to avoid" list for captions.
If only Business Context exists: Use it. Apply Section 8 (Brand Voice) for tone.
If neither exists: Say — "To write social content that sounds like you and resonates with your audience, I need some context. Do you have a Business Context document in this project? If not, tell me: who are you talking to, what platform is this for, and how does your brand tend to sound?"
Workflow
Step 1: Identify the Task
Get clear on what's needed before writing anything.
What are we making?
- A single post
- A batch of posts (how many? for how long?)
- A content calendar framework (pillars + posting cadence, no full posts)
- A specific format: carousel, reel script, thread, story, text post
Which platform(s)?
- TikTok
- X (Twitter)
- Multiple — note where the formats and tones diverge
What's the goal of this content?
- Attract new followers / reach
- Build trust and credibility with existing audience
- Generate leads or inquiries
- Drive traffic to a URL
- Promote a specific offer or event
- Stay top of mind (no hard goal — just presence)
Clarify if not obvious:
- Is this for a specific campaign or ongoing content?
- Any topics, themes, or upcoming events to work around?
- Any content the user has already created that worked well? (Use as voice reference)
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.
- 2mo ago First seen · 480 lines · 37 tokens per session scan A 19f424019e15
social-content is a skill published in the GitHub repository Davidhevesi/marketing-skills-repo (6 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 4,636 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
social-content compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| social-contentDavidhevesi/marketing-skills-repo | Skill | 6 | 7mo ago | MIT | A | 37 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |