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 X-School-Academy/skill-pilot --skill mediagit clone --depth 1 https://github.com/X-School-Academy/skill-pilotWrote 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/x-school-academy/skill-pilot/media)<a href="https://agentmods.dev/skills/x-school-academy/skill-pilot/media"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/media/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/x-school-academy/skill-pilot/media"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/media.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 | $0.00043 | $0.00606 |
| Opus 5.5 | $0.00017 | $0.00242 |
| Sonnet 5.5 | $0.00009 | $0.00121 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
media 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 16d 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.
What it actually says
hi test end test text
Tools
Select the tool that matches the task. Read its reference file only when you are ready to invoke it.
- audio_segments — Transcribe audio and return segments with timing information for understanding scene transitions. (details)
- extract_vocals — Extract vocals from an audio file using Demucs source separation. (details)
- flf_to_video — Create a video by interpolating motion between two images (first and last frame). (details)
- image_analysis — Analyze an image using AI vision model to answer questions or provide descriptions. (details)
- image_to_dialog_video — Generate two synchronized talking-head videos (one per dialog role) from a single portrait. (details)
- image_to_image — Modify or transform an existing image based on text instructions using AI. (details)
- image_to_talk_video — Create a single-person talking or singing video from a face image synchronized with audio. (details)
- image_to_video — Animate a static image into a video using AI to add motion and life. (details)
- text_segments_to_speech — Generate speech audio for multiple lines with per-line emotion control. (details)
- text_to_image — Generate an image from a text description using AI image generation. (details)
- text_to_song — Generate singing audio from lyrics with musical vocal delivery. (details)
- text_to_speech — Generate speech audio from text using TTS model. (details)
- text_to_video — Generate a video clip from a text description using AI video generation. (details)
- video_analysis — Analyze a video using AI vision model to answer questions or provide descriptions. (details)
- video_lipsync — Run the MuseTalk lip-sync CLI to align a reference video with a new audio track. (details)
- video_to_talk_video — Create a talking or singing video from an existing clip synchronized with audio. (details)
- video_upscale — Upscale video size to 2X and restore face in the video. (details)
What ships with it
17 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.
- references/audio_segments.md 2.4 KB
- references/extract_vocals.md 1.2 KB
- references/flf_to_video.md 1.4 KB
- references/image_analysis.md 1.1 KB
- references/image_to_dialog_video.md 1.8 KB
- references/image_to_image.md 896 B
- references/image_to_talk_video.md 1.5 KB
- references/image_to_video.md 1.2 KB
- references/text_segments_to_speech.md 1.8 KB
- references/text_to_image.md 986 B
- references/text_to_song.md 961 B
- references/text_to_speech.md 1.4 KB
- references/text_to_video.md 1.0 KB
- references/video_analysis.md 1.4 KB
- references/video_lipsync.md 1.3 KB
- references/video_to_talk_video.md 1.6 KB
- references/video_upscale.md 674 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.
- 16d ago First seen · 29 lines · 43 tokens per session scan A c73c297f45e7
media is a skill published in the GitHub repository X-School-Academy/skill-pilot (20 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 606 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 2026-10-02.
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