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 hashgraph-online/awesome-codex-plugins --skill vidseeds-local-videogit clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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/hashgraph-online/awesome-codex-plugins/vidseeds-local-video)<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/vidseeds-local-video"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/vidseeds-local-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.
<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/vidseeds-local-video"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/vidseeds-local-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.00783 |
| Opus 5 | $0.00027 | $0.00392 |
| Sonnet 5 | $0.00011 | $0.00157 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
vidseeds-local-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 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local video media (MCP)
VidSeeds.ai follows client-first media: the hosted MCP server does not read files from the user's computer. Tools return recipes (ffmpeg/ffprobe commands) or accept base64 frames the agent extracted locally.
Probe a file
vidseeds_probe_local_video- duration, resolution, codecs; use before trim or thumbnail frame picks.
Frames and clips
| Goal | Tool |
|---|---|
| Still frames for thumbnails | vidseeds_extract_video_frames |
| Short clip for context | vidseeds_extract_video_clip |
| Generic transcode recipe | vidseeds_transcode_format_recipe |
| Media helper commands | vidseeds_get_local_media_recipe |
Run returned shell commands on the user's machine (requires ffmpeg/ffprobe installed). Pass results back into thumbnail tools as frames on vidseeds_generate_thumbnail when needed.
Precision trim
vidseeds_analyze_precision_trim- suggested cut points, segment catalog, seed cost preview.vidseeds_plan_precision_trim- AI edit plan (CritiquePlan) with genre-aware processing.vidseeds_execute_precision_trim- export recipe/commands for local ffmpeg.
V3 Genre-Aware Processing (2026-06-27)
Precision Trim V3 adds genre classification + soundscape analysis + motion profile + hook detection + semantic boundaries as parallel client-side signals. These are passed as optional metadata in vidseeds_analyze_precision_trim / vidseeds_plan_precision_trim inputs:
detectedGenre- overrides automatic genre detection (speech_driven, action_dynamic, ambient_relax, visual_primary, mixed_narrative, tutorial)soundscape- spectral classification from PCM (silence/speech/music/ambient/noise)motionProfile- frame-by-frame pixel diff analysis (static/slow/action/scene_change)
How it affects plans:
- ambient_relax: high silence tolerance (15s+), preserves zero-word scenes, < 20% cut ratio
- action_dynamic: aggressive pause trimming (500ms+), up to 40% cut ratio
- speech_driven: cut at semantic boundaries, moderate trimming
- visual_primary: preserves scenes without speech, cut only on true silence
- mixed_narrative: uses all signals - only cuts when multiple agree
- tutorial: precision trimming, no speed around instructions
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.
- 4d ago First seen · 65 lines · 54 tokens per session scan A 1e0496ebe0a0
vidseeds-local-video is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (968 stars, last pushed today), licensed Apache-2.0. It adds 54 tokens to every session and 783 once invoked, about $0.0003 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 2026-09-05.
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