A tool for working with Adology thumbnails, which are still images representing items such as videos. It provides image links, helps inspect what appears in the frame, and supports placing those images in HTML, PDFs, and slides.

Use it to retrieve thumbnails for selected Adology posts, analyze their visual content, and embed the images in generated documents.

It prevents visual citations from using broken images, video files, or invented placeholders. It also separates finding suitable items from retrieving their images.

thumbnails — Skill for Claude Code by adologyai

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.

Any agent

npx skills add adologyai/content-intelligence-plugin --skill thumbnails

Clone the repo

git clone --depth 1 https://github.com/adologyai/content-intelligence-plugin

Made for: Claude Code.

Or install content-intelligence, the plugin that ships this one along with the rest of its 14 skills, 4 commands, 1 agent.

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/adologyai/content-intelligence-plugin/thumbnails/github.svg)](https://agentmods.dev/skills/adologyai/content-intelligence-plugin/thumbnails)

Your own site

<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/thumbnails"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/thumbnails/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/adologyai/content-intelligence-plugin/thumbnails"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/thumbnails.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 146 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,505 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. 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	$0.00146	$0.01505
Opus 5.5	$0.00058	$0.00602
Sonnet 5.5	$0.00029	$0.00301
Haiku 4.5	$0.00015	$0.00151

Measured 2mo ago against content hash 164392c85f55, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

thumbnails scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

import base64, mimetypes, urllib.request

skills/thumbnails/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thumbnails

Every item Adology returns from analyze carries a thumbnail in its base set — a poster image, so a video item resolves to a still frame rather than a video file. Alongside it is url, the post's own permalink. Those two fields are the whole visual citation.

An item with no stored asset comes back with an empty thumbnail. That's a real state, not an error: drop the item, or swap it for the next candidate, rather than rendering a broken image or inventing a placeholder.

Getting thumbnail URLs

Thumbnails ride on analyze. Two shapes cover almost everything:

You already know which posts you want — analyze({ projectId, itemIds: [...] }). The by-id deep dive returns each item's full creative read plus url and thumbnail. This is the hydration step after any ranking: rank with query_items (which carries lift multiples, isOutlier, and externalUrl), collect the itemId values, then hydrate them here for the images and creative fields.
You want a set that matches a description — analyze({ projectId, query, distribution }) with distribution: 'top' for the highest-engagement items per feed, 'recent' for newest, or 'exhaustive' with sortBy for a deterministic ranked page you can page through.

Add mediaTypeFilter: 'image' or 'video' to keep the set to one media class — worth doing whenever the question is about the frame itself, since a video's poster and a still image are different creative artifacts even though both arrive as a thumbnail.

Reading what's in the frame

For visual and first-frame analysis, ask analyze for the fields that describe the image rather than the copy: visualDescription, visualConcept, productDisplayStyle, productionStyle, creativeExecution, and narrativeFormat. Pair those with mediaTypeFilter so you're comparing like with like.

To quantify a visual pattern instead of reading individual frames, pivot on the scope's visual label dimensions. Discover which dimensions exist first — list_labels({ projectId }), or get_table_data({ projectId, listDimensions: true }) — then pivot: get_table_data({ projectId, rows: ['<visual dimension>'], columns: 'focalVsRest', focalBrand, metrics: ['count','useRate','medianLikes'], mediaTypes: ['video'] }). Assumed dimension names produce empty tables, so always take them from the discovery call.

Read the full file on GitHub · 128 lines

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 · 128 lines · 146 tokens per session scan A 164392c85f55

Subscribe to this mod's changes

thumbnails is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 146 tokens to every session and 1,505 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Creative and media

thumbnails next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
thumbnailsadologyai/content-intelligence-plugin	Skill	2	1mo ago	Apache-2.0	A	146	Claude Code
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
chat-pet-sprite-creationmicrosoft/vscode	Skill	195k	today	MIT	A	53	Claude Code, Codex

thumbnails