What is video-matching?

A newsletter step that finds related official videos on the VS Code and GitHub YouTube channels. YouTube is a video platform, and RSS feeds are machine-readable lists of new items.

Use it after newsletter polishing to fetch recent channel videos, match them to entries by topic, and record the matches in a report.

It saves you from searching those channels manually for videos that explain newsletter entries. It adds matching video links directly to the assembled newsletter.

How briancl2/CustomerNewsletter configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to briancl2/CustomerNewsletter. 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/briancl2/CustomerNewsletter/main/.github/skills/video-matching/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/briancl2/CustomerNewsletter

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/briancl2/customernewsletter/video-matching/github.svg)](https://agentmods.dev/skills/briancl2/customernewsletter/video-matching)

Your own site

<a href="https://agentmods.dev/skills/briancl2/customernewsletter/video-matching"><img src="https://agentmods.dev/badge/skills/briancl2/customernewsletter/video-matching/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/briancl2/customernewsletter/video-matching"><img src="https://agentmods.dev/badge/skills/briancl2/customernewsletter/video-matching.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,297 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.

Model	Per session	Once invoked
Fable 5.1	$0.00077	$0.01297
Opus 5.5	$0.00031	$0.00519
Sonnet 5.5	$0.00015	$0.00259
Haiku 4.5	$0.00008	$0.00130

Measured 2mo ago against content hash f99053203699, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-matching 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 2mo 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.

.github/skills/video-matching/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Matching

Enrich newsletter entries with links to matching official YouTube videos from the VS Code and GitHub channels.

Quick Start

Read the assembled newsletter from output/YYYY-MM_month_newsletter.md
Fetch RSS feeds from VS Code and GitHub YouTube channels
Match videos to newsletter entries by topic
Add [Video (Xm)](URL) links to matched entries
Write enriched newsletter back to output/YYYY-MM_month_newsletter.md

Inputs

Newsletter: output/YYYY-MM_month_newsletter.md (required)
YouTube RSS feeds (fetch these):
- VS Code channel: https://www.youtube.com/feeds/videos.xml?channel_id=UCs5Y5_7XK8HLDX0SLNwkd3w
- GitHub channel: https://www.youtube.com/feeds/videos.xml?channel_id=UC7c3Kb6jYCRj4JOHHZTxKsQ

Output

Enriched Newsletter: output/YYYY-MM_month_newsletter.md (overwrite in place)
Video Matching Report: workspace/newsletter_phase4_6_video_matches_YYYY-MM-DD.md
Record receipt with phase id phase4_6_video

Core Workflow

Step 1: Fetch Video Feeds

Fetch both YouTube RSS feeds. Each returns the 15 most recent videos with:

<title> — Video title
<link> — YouTube URL (format: https://www.youtube.com/watch?v=VIDEO_ID or /shorts/VIDEO_ID)
<published> — Publication date
<media:description> — Full description with chapters, links, and speaker info

Parse both feeds and build a combined video inventory.

Step 2: Filter Videos

INCLUDE videos that are:

Published within the newsletter's DATE_RANGE (or up to 2 weeks before/after)
About GitHub Copilot, VS Code, agents, MCP, security, or enterprise features
Full-length videos (>2 minutes) or Shorts that directly demonstrate a named feature

EXCLUDE:

Shorts that are generic teasers without specific feature content
Open Source Friday episodes about non-GitHub projects
Non-English content
General tutorials not tied to a specific feature in the newsletter

Step 3: Match Videos to Newsletter Entries

Read the full file on GitHub · 118 lines

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.

references/video-sources.md 2.7 KB

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.

2mo ago First seen · 118 lines · 77 tokens per session scan A f99053203699

Subscribe to this mod's changes

video-matching is a skill published in the GitHub repository briancl2/CustomerNewsletter (11 stars, last pushed 5mo ago), licensed MIT. It adds 77 tokens to every session and 1,297 once invoked, about $0.0003 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.

Marketing and SEO Research agentic-workflows agents copilot llmops mkdocs newsletter

video-matching next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
video-matchingbriancl2/CustomerNewsletter	Skill	11	5mo ago	MIT	A	77	Claude Code, Codex
trulens-diagnosistruera/trulens	Skill	3.6k	yesterday	MIT	A	17	Claude Code, Codex
agents-sdk-dotnet-activityhandler-migrationmicrosoft/Agents	Skill	1.1k	yesterday	MIT	A	76	Claude Code
agents-sdk-dotnetmicrosoft/Agents	Skill	1.1k	yesterday	MIT	A	112	Claude Code
agents-sdk-typescript-otelmicrosoft/Agents	Skill	1.1k	yesterday	MIT	A	88	Claude Code
bf-to-agents-sdk-dotnet-migrationmicrosoft/Agents	Skill	1.1k	yesterday	MIT	A	56	Claude Code
github-review-prfeiskyer/claude-code-settings	Skill	1.7k	yesterday	MIT	A	90	Claude Code

CustomerNewsletter: Skill for Claude Code