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 hugobowne/show-us-your-agent-skills --skill youtube-watch-later-gist-summariesgit clone --depth 1 https://github.com/hugobowne/show-us-your-agent-skillsWrote 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/hugobowne/show-us-your-agent-skills/youtube-watch-later-gist-summaries)<a href="https://agentmods.dev/skills/hugobowne/show-us-your-agent-skills/youtube-watch-later-gist-summaries"><img src="https://agentmods.dev/badge/skills/hugobowne/show-us-your-agent-skills/youtube-watch-later-gist-summaries/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/hugobowne/show-us-your-agent-skills/youtube-watch-later-gist-summaries"><img src="https://agentmods.dev/badge/skills/hugobowne/show-us-your-agent-skills/youtube-watch-later-gist-summaries.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 | $0.00068 | $0.02992 |
| Opus 5 | $0.00034 | $0.01496 |
| Sonnet 5 | $0.00014 | $0.00598 |
| Haiku 4.5 | $0.00007 | $0.00299 |
Grade A, and why
youtube-watch-later-gist-summaries 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 12d 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project: YouTube Watch Later Skill, a public GitHub Gist published by Eleanor Berger (
intellectronica). The skill was written by her Hermes agent, which the frontmatter credits as the author.License: MIT, as declared in the skill's frontmatter. Full license text is in
LICENSEalongside this file.Snapshot: Frozen copy of the gist as of 2026-05-22. The maintained version lives upstream and may have evolved since this snapshot.
YouTube Watch Later Gist Summaries
Overview
Use this skill to produce shareable summary links for all videos currently in a user's YouTube Watch Later playlist. The output is a concise list of Channel — Title — https://gists.sh/<owner>/<gist-id> entries, with one secret GitHub gist per video summary.
This skill is intentionally browser-tool agnostic. Use whichever browser-control tool is available in the current environment, but operate the user's already logged-in browser/session where possible. Do not assume a particular browser automation package, profile path, or Chrome debugging port unless the environment explicitly provides one.
Hard Boundaries
- Do not add videos to Watch Later.
- Do not remove videos from Watch Later.
- Do not mutate unrelated browser, YouTube, GitHub, or Hermes configuration.
- Do not make public gists.
gh gist createis secret by default on current GitHub CLI versions; avoid--public. - Do not paste full transcripts into chat, logs, process titles, or gist descriptions.
- Do not rely on another YouTube transcript skill being installed; transcript extraction instructions are included below.
Prerequisites
- A browser-control tool that can inspect the user's authenticated YouTube session.
- The user is logged in to YouTube in that browser session.
ghis installed and authenticated to the GitHub account that should own the gists.- Network access to YouTube and GitHub.
- A way to fetch transcripts, preferably Python with
youtube-transcript-api; fallback options are documented below.
What ships with it
3 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.
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.
- 12d ago First seen · 294 lines · 68 tokens per session scan A c750b22f8d95
youtube-watch-later-gist-summaries is a skill published in the GitHub repository hugobowne/show-us-your-agent-skills (67 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 2,992 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 2026-08-30.
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