vidxp-ingest-video

vidxp-ingest-video is a skill for Claude Code, Codex from grayhatdevelopers/vidxp. It costs 83 tokens per session (471 once invoked), scanned A, original, MIT.

A video-import workflow for VidXP, a system that stores and indexes videos so their contents can be searched. It handles video registration, indexing choices, model readiness, and progress checks through VidXP tools.

In plain words
What is it for?
Use it to upload or import local videos, index dialogue and scenes, and report each file's processing state and search information.
Why use it?
It removes the manual work of adding videos and waiting for them to become searchable. It also avoids importing media that VidXP has already registered or indexed.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/grayhatdevelopers/vidxp/vidxp-ingest-video
Any agent
npx skills add grayhatdevelopers/vidxp --skill vidxp-ingest-video
Clone the repo
git clone --depth 1 https://github.com/grayhatdevelopers/vidxp

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 vidxp-ingest-video

README.md
[![agentmods](https://agentmods.dev/badge/skills/grayhatdevelopers/vidxp/vidxp-ingest-video.svg)](https://agentmods.dev/skills/grayhatdevelopers/vidxp/vidxp-ingest-video)
Your own site
<a href="https://agentmods.dev/skills/grayhatdevelopers/vidxp/vidxp-ingest-video"><img src="https://agentmods.dev/badge/skills/grayhatdevelopers/vidxp/vidxp-ingest-video.svg" alt="Measured on agentmods" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 471 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00083 $0.00471
Opus 5 $0.00042 $0.00235
Sonnet 5 $0.00017 $0.00094
Haiku 4.5 $0.00008 $0.00047

Measured today against content hash 7d4230b7d9b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vidxp-ingest-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 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.

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.

plugins/vidxp/skills/vidxp-ingest-video/SKILL.md · 37 lines

What it actually says

Ingest video with VidXP

Workflow

  1. Resolve the vidxp MCP tools and call get_workspace. Do not import a video that is already registered or indexed.
  2. Choose indexable capabilities from the workspace. Use speech and scene for ordinary content retrieval. Add action when the request depends on actions or events spanning multiple frames. Add actor only when anonymous recurring-face clusters are wanted; it does not identify people by name.
  3. Call get_runtime_readiness. If selected models are missing, submit prepare_models, use wait_job with its observation token for subsequent bounded waits, then fetch get_job once when terminal.
  4. Use ingest_local_media for one to ten paths accessible to VidXP; otherwise use create_media_upload and give the returned link to the user. Keep index_after_import enabled unless registration-only behavior was requested.
  5. Poll the returned ingestion or upload ID with get_media_ingestion or get_media_upload. Honor its poll interval, reuse the same identifiers, and do not resubmit unchanged work.
  6. Stop at a terminal state and report each file's state, media ID, index job, and searchable snapshot or generation. If indexing fails after registration, retry with start_indexing; do not upload the file again.
  7. If the request also asks about the video, continue directly into the VidXP evidence workflow once it is searchable.

Long operations

  • Tell the user that model preparation and indexing can take several minutes.
  • Update when the stage changes or about once per minute; do not narrate every status check or invent an ETA.
  • Treat files independently so one failure does not hide successful siblings.
Files

What ships with it

1 file 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.

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. today Changed 7d4230b7d9b7
  2. 4d ago First seen · 37 lines · 83 tokens per session scan A 6c3bd5f5cbfe

Subscribe to this mod's changes

vidxp-ingest-video is a skill published in the GitHub repository grayhatdevelopers/vidxp (30 stars, last pushed 3d ago), licensed MIT. It adds 83 tokens to every session and 471 once invoked, about $0.0004 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 2026-08-30.

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