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 m3taz-ahmed/ai-globals --skill gsap-animated-frontendgit clone --depth 1 https://github.com/m3taz-ahmed/ai-globalsWrote 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/m3taz-ahmed/ai-globals/gsap-animated-frontend)<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/gsap-animated-frontend"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/gsap-animated-frontend/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/m3taz-ahmed/ai-globals/gsap-animated-frontend"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/gsap-animated-frontend.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 | $0.00084 | $0.00574 |
| Opus 5.5 | $0.00034 | $0.00230 |
| Sonnet 5.5 | $0.00017 | $0.00115 |
| Haiku 4.5 | $0.00008 | $0.00057 |
Grade A, and why
gsap-animated-frontend 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 1mo 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GSAP Animated Frontend
Use this skill as the root router for a model-agnostic GSAP workflow.
Public Workflow Surface
Expose only two primary workflows:
gsap-newgsap-refactor
Do not present scan, audit, recipes, doctor, validate, or similar helpers as primary user-facing workflows.
Source Of Truth
Always read and update these project artifacts first:
.gsap/animation-spec.md.gsap/animation-plan.md.gsap/audit-report.md.gsap/pages/*.animation.md
Never rely on chat history as the workflow memory.
Workflow Routing
For new pages, new sections, or first-time motion systems:
- read
subskills/gsap-new/SKILL.md
For existing pages/components that need improvement:
- read
subskills/gsap-refactor/SKILL.md
Internal Helpers
Use internal scripts and templates for support work:
scripts/gsap_workflow.pyscripts/brand_extractor.pyscripts/structure_search.pyscripts/interview_generator.pyscripts/phase_planner.pytemplates/animation-spec.mdtemplates/animation-plan.mdtemplates/audit-report.mdtemplates/animation-tasks.mdtemplates/page-animation.mdtemplates/phase.md
Use references only as needed:
references/gsap-core-patterns.mdreferences/scroll-trigger-patterns.mdreferences/animation-recipes.mdreferences/performance-guide.md
Non-Negotiables
- Persist decisions back into
.gsap. - Ask questions only when required by missing artifact data.
- Read current code before planning refactors.
- Include reduced-motion and mobile downgrade rules in every plan.
- Keep helper commands internal; the visible experience stays centered on
gsap-newandgsap-refactor. - Let the workflow script inspect framework, packages, page structure, design signals, and existing motion before asking questions.
- Do not implement an entire page in one pass; generate phased artifacts and execute one major section per phase.
- Keep
.gsap/tasks/*.mdand.gsap/phases/**/*.mdcurrent so a fresh agent can resume safely.
What ships with it
26 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.
- agents/openai.yaml 296 B
- assets/gsap-skill-banner.svg 5.9 KB
- gsap_cli.py 306 B runs code
- README.md 7.9 KB
- references/animation-recipes.md 13 KB
- references/gsap-core-patterns.md 6.5 KB
- references/performance-guide.md 5.6 KB
- references/scroll-trigger-patterns.md 6.2 KB
- requirements.txt 65 B
- scripts/brand_extractor.py 5.1 KB runs code
- scripts/gsap_workflow.py 31 KB runs code
- scripts/interview_generator.py 5.6 KB runs code
- scripts/interview_strategy.py 2.3 KB runs code
- scripts/phase_planner.py 2.6 KB runs code
- scripts/project_intelligence.py 4.8 KB runs code
- scripts/structure_search.py 7.0 KB runs code
- subskills/gsap-new/agents/openai.yaml 285 B
- subskills/gsap-new/SKILL.md 2.1 KB
- subskills/gsap-refactor/agents/openai.yaml 293 B
- subskills/gsap-refactor/SKILL.md 2.1 KB
- templates/animation-plan.md 1.0 KB
- templates/animation-spec.md 1.2 KB
- templates/animation-tasks.md 765 B
- templates/audit-report.md 318 B
- templates/page-animation.md 834 B
- templates/phase.md 263 B
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.
- 1mo ago First seen · 73 lines · 84 tokens per session scan A 7b111f831078
gsap-animated-frontend is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed 5d ago), licensed MIT. It adds 84 tokens to every session and 574 once invoked, about $0.0003 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.
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