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 EvovexAI/EvoFlow --skill talking-head-recutgit clone --depth 1 https://github.com/EvovexAI/EvoFlowWrote 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/evovexai/evoflow/talking-head-recut)<a href="https://agentmods.dev/skills/evovexai/evoflow/talking-head-recut"><img src="https://agentmods.dev/badge/skills/evovexai/evoflow/talking-head-recut/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/evovexai/evoflow/talking-head-recut"><img src="https://agentmods.dev/badge/skills/evovexai/evoflow/talking-head-recut.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 | $0.00172 | $0.15875 |
| Opus 5 | $0.00086 | $0.07938 |
| Sonnet 5 | $0.00034 | $0.03175 |
| Haiku 4.5 | $0.00017 | $0.01588 |
Grade A, and why
talking-head-recut scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL -o "$WORK_DIR/public/vendor/gsap.min.js" "https://cdn.jsdelivr.net/npm/[email protected]/dist/gsap.min.js" The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
25 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.
- assets/fonts/Caveat-400-latin.woff2 73 KB
- assets/fonts/Caveat-700-latin.woff2 73 KB
- assets/fonts/Inter-400-latin.woff2 23 KB
- assets/fonts/Inter-700-latin.woff2 24 KB
- assets/fonts/LXGWWenKaiTC-400-latin.woff2 19 KB
- assets/fonts/Virgil.woff2 60 KB
- NOTICE.md 2.0 KB
- references/DESIGN_INDEX.md 9.9 KB
- references/frames/clean.html 2.6 KB
- references/frames/hairline.html 5.7 KB
- references/frames/polaroid.html 5.2 KB
- references/layouts/overlay.html 5.3 KB
- references/layouts/pip.html 4.5 KB
- references/layouts/split.html 3.7 KB
- references/layouts/stack.html 3.4 KB
- references/styles/academic.html 5.9 KB
- references/styles/audit.html 6.0 KB
- references/styles/editorial.html 6.4 KB
- references/styles/geom.html 5.6 KB
- references/styles/minimal.html 4.0 KB
- references/styles/spotlight.html 4.8 KB
- references/styles/swiss.html 5.9 KB
- references/styles/terminal.html 6.8 KB
- references/styles/whiteboard.html 5.7 KB
- references/styles/xhs.html 7.0 KB
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.
- today First seen · 1,199 lines · 172 tokens per session scan A 84b534cc7ffd
talking-head-recut is a skill published in the GitHub repository EvovexAI/EvoFlow (197 stars, last pushed today), with no licence file. It adds 172 tokens to every session and 15,875 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-13.
Other skills, from other repositories
company-product-context
Compiles comprehensive company product context from PDF documents, web research, and industry knowledge.
deep-researcher
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
codebase-context-extractor
This skill provides a comprehensive context extraction system for large codebases. It intelligently analyzes code structure, dependencies, and relationships to extract relevant context for understanding, debugging, or modifying code.
llmtornado-tutorial-generator
Generates comprehensive code tutorials on LlmTornado API formatted for Medium publication with examples, explanations, and best practices.
skill-creator
Generates Anthropic Skills with complete workflow including GitHub PR creation and local download verification.
Research Synthesis Workflow
A step-by-step guide to synthesizing research from multiple sources into a coherent summary.