explainer-video

explainer-video is a skill for Claude Code, Codex from gabrielmoreira/agent-skills-mirror. It costs 59 tokens per session (2,248 once invoked), scanned A, original, MIT.

A workflow for turning topics, scripts, data, product explanations, or course material into finished explainer videos with narration and supporting visuals.

In plain words
What is it for?
It helps create videos using voiceovers, motion graphics, stock footage, uploaded media, or generated images and video.
Why use it?
It organizes the explanation, timing, visuals, assembly, and quality checks so the information is easier to understand as a video.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps create videos using voiceovers, motion graphics, stock footage, uploaded media, or generated images and video.

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Install with agentmods
npx agentmods add skills/gabrielmoreira/agent-skills-mirror/explainer-video
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.

Any agent
npx skills add gabrielmoreira/agent-skills-mirror --skill explainer-video
Clone the repo
git clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirror

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 explainer-video

README.md
[![agentmods](https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/explainer-video/github.svg)](https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/explainer-video)
Your own site
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/explainer-video"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/explainer-video/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.

agentmods 80×15 button for explainer-video

Your own site · 80×15
<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/explainer-video"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/explainer-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,248 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 5.1 $0.00059 $0.02248
Opus 5.5 $0.00024 $0.00899
Sonnet 5.5 $0.00012 $0.00450
Haiku 4.5 $0.00006 $0.00225

Measured 1mo ago against content hash b24bc78396a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

explainer-video 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.

mirrors/repos/0xsline@OpenChatCut/src/agent/skills/explainer-video/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explainer Video

Use this workflow to turn information into a clear finished video. The information is the product: topic, script, logic, data, product mechanism, or voiceover. Visuals support understanding. Explainer Video owns the section plan, narration mode, timing order, assembly, and QA; create-motion-graphics is the helper workflow for direct Motion Graphic authoring and placement.

Workflow

  1. Read the project state, prompt, attached files, assets, transcript, and timeline.
  2. Identify the working labels:
    • explainer_start: topic_only, script_or_outline, voiceover_or_transcript, product_or_data, reference_assets, or direct_mg_animation_brief.
    • source_structure: free_topic, script_sections, timestamped_sections, slides_or_pages, existing_voiceover, uploaded_assets, product_or_data, or mixed.
    • narration_mode: generated_tts, existing_voiceover, transcript_only, or none.
    • visual_mode: motion_graphics, stock_or_uploaded_footage, generated_video_or_images, or mixed.
  3. Respect source structure. If the user provides structured material such as timestamps, numbered sections, slides/pages, scene labels, chapters, bullet outline, product points, transcript ranges, or voiceover sections, use that as the default planning scaffold. Merge, split, reorder, or relabel only when there is a clear production reason; explain the change and get user acceptance before treating it as the plan.
  4. Ask only for missing details that change the result: topic or script, target length, audience, platform/aspect ratio, language/voice, visual mode, tone, brand/style constraints, and whether to plan first or create directly.
  5. If more than one detail is missing, load widget-forms and ask in one <widget>. Use text fields for topic/script/context and single-choice fields for duration, platform, language/voice, and visual mode.
  6. Complete the preflight before writing visual treatments. The plan must have values for:
    • source_structure
    • narration_mode
    • visual_mode
    • animation_reference: read or not_needed
    • visual_direction_source: active Design Style, chosen preset, concrete user style/reference, accepted role anchor, explicit proceed-without-alignment, or not_needed
    • voice_selection: confirmed concrete preset, audition needed, or not_needed
    • timing_source: actual voiceover/transcript ranges, generated TTS duration, user timestamps, planned duration, or not_needed
  7. Animation Reference Gate. If any section may use motion graphics, animation, animated diagrams, data animation, mechanism visualization, abstract concept visualization, or MG overlays, read references/explainer-animation.md before writing those visual treatments. If the visual plan uses only stock footage, uploaded footage, generated live-action/video clips, or still images, mark animation_reference: not_needed and continue without loading it.
  8. Motion Graphic Direction Gate. If any section will generate MG/animation, load create-motion-graphics before asking the user to choose visual style. Use it to read the existing project visual language, align or confirm the Design Style, and directly author and place the Motion Graphic. Explainer Video still owns narration mode, section order, timing, assembly, and QA. Before final MG authoring, confirm visual direction through one of: active Design Style, catalog Design Style preset chosen from visual cards, concrete user style/reference, accepted role anchor, or explicit proceed-without-alignment. Treat broad hints such as "clean", "modern", "technical", "cinematic", or "tech style" as filters for preset selection, not as enough to generate final MGs. Do not invent text-only style choices before checking presets; assistant-written style options are fallback alignment, not a catalog preset.
  9. Build a compact explainer plan only after the relevant gates above are complete:
    • viewer promise or thesis
    • preserved or proposed sections
    • narration source and timing source
    • narration-to-visual map per section: narration text or time range, visual goal, visual treatment, source assets, and sync risk
    • assumptions and claims that need grounding
    • first visible result to create before batching
  10. For topic_only, write a short outline before drafting or generating. For script_or_outline, preserve the user's claims and meaning while tightening structure. For product_or_data, explain the mechanism or value without inventing unsupported claims. For direct_mg_animation_brief, do not force a broad explainer outline; inspect the provided script, assets, references, transcript, or style target, then create the requested MG section, intro, diagram, or overlay inside the same gates.
  11. Voice Gate. For generated_tts, load voice before recommending voices, choosing a preset, or submitting TTS. If the user has not confirmed a concrete voice preset, follow voice to read the curated voice list and show an audition widget first. Do not infer a voiceId from the content topic, language, gender, or broad style words.
  12. Create or align narration only when needed. For generated_tts, draft or tighten section-level narration lines first; estimate whether they fit target timing before submission, rewrite obvious mismatches, generate/place TTS by section only after the Voice Gate is complete, then read actual audio duration before any matching narration-backed MG/animation generation. Do not submit TTS and its matching MG in the same parallel batch. For existing_voiceover, do not regenerate narration; transcribe or read the audio and split it into section time ranges before generating matching visuals. For transcript_only, confirm whether the transcript should become TTS, captions, or only structure if ambiguous. For none, skip narration sync and plan visuals from the information structure and output rhythm.
  13. Produce visuals section by section. For MG/animation, verify the animation reference has been read, visual direction is confirmed, and create-motion-graphics has been used for direct authoring and placement before final generation or batching. For generated-TTS sections, even the first representative section MG must wait until that section's actual TTS duration is known. For narration-backed MG/animation, duration must come from the matching narration's actual audio duration when available, not from script estimates. For stock, uploaded, generated-video, or mixed visual sections, inspect/select the visual source first and use it only when it supports the section. When style or correctness is uncertain, create the first representative section or shot before batching only after required narration timing exists; a pre-audio style proof requires explicit user approval and must be labeled style-only, not treated as a section MG or placed as final timeline content.

Read the full file on GitHub · 79 lines

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. 1mo ago First seen · 79 lines · 59 tokens per session scan A b24bc78396a7

Subscribe to this mod's changes

explainer-video is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (19 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 2,248 once invoked, about $0.0002 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 2026-08-30.

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