animate

animate is a skill for Claude Code, Codex from rwliebs/Dossier. It costs 25 tokens per session (1,734 once invoked), scanned A, original, no licence file.

A review skill that examines a feature and suggests or applies animations and small interaction effects.

In plain words
What is it for?
Reviewing a feature for useful animations, adding small interaction effects, and improving interface feedback.
Why use it?
It helps identify where motion could clarify how an interface works or improve its feedback to users.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/rwliebs/dossier/animate
Any agent
npx skills add rwliebs/Dossier --skill animate
Clone the repo
git clone --depth 1 https://github.com/rwliebs/Dossier

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for animate

README.md
[![agentmods](https://agentmods.dev/badge/skills/rwliebs/dossier/animate.svg)](https://agentmods.dev/skills/rwliebs/dossier/animate)
Your own site
<a href="https://agentmods.dev/skills/rwliebs/dossier/animate"><img src="https://agentmods.dev/badge/skills/rwliebs/dossier/animate.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,734 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00025 $0.01734
Opus 5 $0.00013 $0.00867
Sonnet 5 $0.00005 $0.00347
Haiku 4.5 $0.00003 $0.00173

Measured 4d ago against content hash baa0033ac22d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

animate 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.

.agents/skills/animate/SKILL.md · 174 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 4d ago First seen · 174 lines · 25 tokens per session scan A baa0033ac22d

Subscribe to this mod's changes

animate is a skill published in the GitHub repository rwliebs/Dossier (88 stars, last pushed 1mo ago), with no licence file. It adds 25 tokens to every session and 1,734 once invoked, about $0.0001 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 2026-08-30.

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