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 gabrielmoreira/agent-skills-mirror --skill talking-head-guidegit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/talking-head-guide)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/talking-head-guide"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/talking-head-guide/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/gabrielmoreira/agent-skills-mirror/talking-head-guide"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/talking-head-guide.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 | $0.00159 | $0.13173 |
| Opus 5 | $0.00079 | $0.06587 |
| Sonnet 5 | $0.00032 | $0.02635 |
| Haiku 4.5 | $0.00016 | $0.01317 |
Grade B, and why
talking-head-guide scanned grade B 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 11d 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
**When the user enters this workflow without a source video uploaded yet, ask via a widget surface — bundle the file upload with the treatment selection in one flow**, not two separate turns or a markdown "drag your file How it starts
The opening of the file, as written. The whole thing — 636 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Talking Head Video Editing
What this skill covers
Required input: an existing talking-head / 口播 video uploaded to the project. If the user wants to start without one (e.g., generate a fresh talking-head from scratch), this skill doesn't apply.
When the user enters this workflow without a source video uploaded yet, ask via a widget surface — bundle the file upload with the treatment selection in one flow, not two separate turns or a markdown "drag your file in" instruction. Load widget-forms for the host-specific route. Never tell the user to "拖进编辑器" / "点击素材库的上传按钮"; that's friction with no upside.
When the task creates or targets a OpenChatCut project for the user, surface the editor link early so they can watch progress, and re-confirm the visible editor matches the project before final delivery.
Independent treatments that can be applied to talking-head videos. Pick the ones that match what the user wants — not all are needed every time.
- A-roll editing (中文称 语音剪辑 / 含 去口癖、停顿、重复) — transcript-based speech editing. Common operations include cleanup, highlight extraction, restructure, opening hook, and others as needed for the aligned outcome.
- Motion graphics overlay (英文展示给用户时写全称 Motion Graphics，不要缩成 "MG"；中文产品术语固定为 MG 动画——不要叫"动效""字幕条""动态字幕"等其它说法) — reinforce key information, structured content, and topic transitions with on-screen motion graphics
- B-roll (industry term — keep as "B-roll" in any language, do not translate) — cover jump cuts or visualize what's being said
- Background music (中文 背景音乐) — set mood and smooth micro-gaps
- Captions (中文 字幕) — on-screen text for accessibility
- AI Voice Isolation (中文 AI 人声隔离) — clean or isolate spoken human voice with DeepFilterNet3, picture untouched. See the
voice-isolationskill.
用户语言为中文时，在 widget options / choices options / 对话文案里严格使用上面括号里的产品术语——别自己再翻译一遍，会跟产品其它地方对不上。
What shapes the edit
Beyond picking treatments, a talking-head edit is shaped by several orthogonal variables. When the user's ask is vague, these are what's worth clarifying first:
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.
- 11d ago First seen · 636 lines · 159 tokens per session scan B 208de5215ec3
talking-head-guide is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It adds 159 tokens to every session and 13,173 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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