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 naveedharri/benai-skills --skill gif-creatorgit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/gif-creator)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/gif-creator"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/gif-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/naveedharri/benai-skills/gif-creator"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/gif-creator.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 | $0.00124 | $0.02170 |
| Opus 5 | $0.00062 | $0.01085 |
| Sonnet 5 | $0.00025 | $0.00434 |
| Haiku 4.5 | $0.00012 | $0.00217 |
Grade A, and why
gif-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 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Visual Animation
Create polished, on-brand animated GIF and static PNG infographics for LinkedIn posts. These visuals follow Ben AI's exact brand guidelines and are designed for maximum engagement on LinkedIn.
Two-Step Process
This skill follows a strict two-step interactive process. Never skip to creating the visual without Step 1 approval.
Step 1: Suggest Visualization Approaches
Before creating anything, propose 2-3 different ways to visualize the content. Consider:
- Vertical process flow: Steps stacked top-to-bottom with arrows (best for sequential workflows, 4-10 steps)
- Comparison grid: Side-by-side cards comparing approaches (best for before/after, tool comparisons)
- Hub and spoke: Central concept with radiating connections (best for ecosystems, tool stacks)
- Timeline: Horizontal or vertical timeline with milestones (best for journeys, evolution)
- Numbered list cards: Clean cards with numbers (best for tips, tools lists, rankings)
For each suggestion, briefly explain:
- The layout type
- What content goes in each card/node
- Why it fits this particular content
Wait for user to confirm which approach before proceeding.
Step 2: Create the GIF and PNG
Once the approach is confirmed, build the visual using PIL/Pillow following the exact brand guidelines below. Always output both:
- An animated GIF (nodes appearing one by one)
- A static PNG (final frame, for fallback)
Save both to the outputs folder.
Brand Guidelines
These are non-negotiable. Every visual must follow these exactly.
Canvas Size
- Final output: 800 x 998 pixels (portrait, ~4:5 ratio — optimal for LinkedIn)
- Render at 3x: 2400 x 2994 pixels, then downscale with LANCZOS for crisp text
- Never change these dimensions
Colors
| Role | Color | Hex |
|---|---|---|
| Background | Light yellow | #FAF3E3 (250, 243, 227) |
| Card background | White | #FFFFFF (255, 255, 255) |
| Border / shadow / text | Near-black | #020309 (2, 3, 9) |
| Title accent | Green | (72, 160, 120) |
| Gray text (descriptions) | Gray | (100, 100, 100) |
| Divider lines | Warm gray | (210, 205, 190) |
What ships with it
1 file 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.
- 7d ago First seen · 196 lines · 124 tokens per session scan A 956243ce1b05
gif-creator is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed yesterday), licensed MIT. It adds 124 tokens to every session and 2,170 once invoked, about $0.0006 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 2026-09-05.
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