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corpus-ingest-core: Skill for Claude Code

.agents/skills/x-video-ingest/SKILL.md

x-video-ingest is a skill for Claude Code, Codex from norton77930/corpus-ingest-core. It costs 18 tokens per session (384 once invoked), scanned A, original, MIT.

A controlled process for bringing one video from an X post into a project collection of source material.

In plain words
What is it for?
Use it to download the video, extract its audio, transcribe it on the machine, and save the resulting materials after explicit approval.
Why use it?
It lets a person preview the source and approve the download and processing before anything is written locally.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is norton77930/corpus-ingest-core's own configuration. It tells Claude Code and Codex how to work on corpus-ingest-core itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything corpus-ingest-core configures →

not rated 2repo changed 29d ago A scan 18 tokens original MIT
View source ↗ norton77930/corpus-ingest-core
Reuse

Borrowing it

Nothing to install: this file belongs to norton77930/corpus-ingest-core. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/norton77930/corpus-ingest-core/main/.agents/skills/x-video-ingest/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/norton77930/corpus-ingest-core

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 x-video-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/x-video-ingest/github.svg)](https://agentmods.dev/skills/norton77930/corpus-ingest-core/x-video-ingest)
Your own site
<a href="https://agentmods.dev/skills/norton77930/corpus-ingest-core/x-video-ingest"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/x-video-ingest/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 x-video-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/norton77930/corpus-ingest-core/x-video-ingest"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/x-video-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 384 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.
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 $0.00018 $0.00384
Opus 5.5 $0.00007 $0.00154
Sonnet 5.5 $0.00004 $0.00077
Haiku 4.5 $0.00002 $0.00038

Measured 29d ago against content hash 0ea071a19067, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

x-video-ingest 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 29d 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.

.agents/skills/x-video-ingest/SKILL.md · 27 lines

What it actually says

X Video Ingest

Use the mounted MCP tool to bring the video from one X post into the corpus. Keep the human in control: one preview, one explicit approval, one matching confirmed call, then stop.

Procedure

  1. Call ingest_x_video with the exact url the user gave and confirm=false.
  2. Explain the derived podcast id and episode reference, the resolved title, the planned writes, and the returned warnings.
  3. State plainly that this preview already resolved public source metadata over the network. It is zero-write but not zero-network, so the source host has already been contacted once before the human is asked anything.
  4. Explain what confirming would add: downloading the source media, extracting audio, transcribing locally on this machine, and writing corpus artifacts. The source video itself is never kept.
  5. Ask one explicit approval question and wait for the answer.
  6. Treat absent, ambiguous, conditional, or negative replies as no approval.
  7. After explicit approval, call the same MCP tool with the same url and confirm=true, exactly once.
  8. Pass title only when the human supplied one, and force=true only when the human explicitly asked to overwrite existing artifacts. This tool needs no api_cost_ack because it calls no external LLM.
  9. Report the bounded result and stop. Do not start another preview or action unless the user makes a new request.

The confirmed run does not rebuild the search index. Report the cache-stale warning and let the human decide when to rebuild.

If the MCP tool is unavailable, report a setup problem. Do not use a terminal, CLI, another side-effect tool, cron/scheduler, retry, or autonomous loop as a fallback.

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. 29d ago Changed · -5 tokens per session 0ea071a19067
  2. 2mo ago First seen · 27 lines · 23 tokens per session scan A 24faf9a3efdb

Subscribe to this mod's changes

x-video-ingest is a skill published in the GitHub repository norton77930/corpus-ingest-core (2 stars, last pushed 29d ago), licensed MIT. It adds 18 tokens to every session and 384 once invoked, about $0.0001 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 2026-08-31.

LLMPythonRAG and vectorsResearchai-agentsknowledge-basemcp
Related

x-video-ingest compared with skills from other repositories

x-video-ingest next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
x-video-ingestnorton77930/corpus-ingest-coreSkill229d agoMITA18Claude Code, Codex
memory-triagemem0ai/mem0Skill68k2d agoApache-2.0A58Claude Code
mem0mem0ai/mem0Skill68k2d agoApache-2.0A181Claude Code
mem0-climem0ai/mem0Skill68k2d agoApache-2.0A177Claude Code, Codex
mem0-vercel-ai-sdkmem0ai/mem0Skill68k2d agoApache-2.0A146Claude Code, Codex
mem0-statusmem0ai/mem0Skill68k2d agoApache-2.0A44Claude Code, Codex
mem0-tourmem0ai/mem0Skill68k2d agoApache-2.0A47Claude Code, Codex