weekly-brief

weekly-brief is a skill for Claude Code from adologyai/content-intelligence-plugin. It costs 170 tokens per session (5,968 once invoked), scanned A, original, Apache-2.0.

A guide for producing a three-page weekly report about competitors in advertising and social media. The PDF includes a visual scoreboard, market signals, social trends, coaching, and real images from the analyzed posts.

In plain words
What is it for?
Use it to create weekly competitive-intelligence briefs with rankings, market observations, social trends, and recommendations based on a project's tracked data.
Why use it?
It brings recurring competitive findings into one shareable document and makes the evidence easier to review. Real post images show which content each observation refers to.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the content-intelligence plugin — 14 skills, 4 commands, 1 agent shipped together

Good fit Use it to create weekly competitive-intelligence briefs with rankings, market observations, social trends, and recommendations based on a project's tracked data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adologyai/content-intelligence-plugin/weekly-brief
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 weekly-brief
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.

agentmods badge for weekly-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/weekly-brief/github.svg)](https://agentmods.dev/skills/adologyai/content-intelligence-plugin/weekly-brief)
Your own site
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/weekly-brief"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/weekly-brief/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 weekly-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/adologyai/content-intelligence-plugin/weekly-brief"><img src="https://agentmods.dev/badge/skills/adologyai/content-intelligence-plugin/weekly-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 170 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,968 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00170 $0.05968
Opus 5.5 $0.00068 $0.02387
Sonnet 5.5 $0.00034 $0.01194
Haiku 4.5 $0.00017 $0.00597

Measured 2mo ago against content hash afe8622bdf63, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

weekly-brief 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/assemble_pdf.py, scripts/download_thumbnails.py, scripts/qa_check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

> `requests` can be blocked in some sandboxes the same way `curl` is),
skills/weekly-brief/SKILL.md · 453 lines

How it starts

The opening of the file, as written. The whole thing — 453 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Weekly Competitive Intelligence Brief

Build a polished 3-page PDF competitive intelligence report from an Adology project's scope. Each page is a self-contained "slide" with its own data pipeline, rendered as HTML via WeasyPrint, then merged into a single PDF. Every page includes real post thumbnails.

Architecture Rules

DO NOT use subagents. Build all 3 pages yourself, sequentially, in the main thread. Subagents caused cascading failures in production — they made unchecked decisions, crashed the sandbox disk, and couldn't be course-corrected.

Thumbnails are MANDATORY. Every scoreboard card, spotlight, trend card, and coaching card must have a real thumbnail image from the actual post. The skill includes a bundled script (scripts/download_thumbnails.py) that handles downloading, resizing, and base64-encoding. You run this script — it produces a JSON file mapping image URLs to small base64 data URIs. Then you insert those data URIs into the HTML <img> tags. There is no alternative to this. Do not skip thumbnails. Do not use CSS placeholders. Do not use colored rectangles with initials. Download the real images.

Coverage is part of the brief, not a caveat you drop. A weekly brief is a claim about a window. Say which sources actually cover that window and name the ones that don't — by name, on the page. A stale source that goes unmentioned turns a data gap into a false finding ("Brand X went quiet this week" when nobody fetched Brand X).

Path Conventions

This skill's shell examples use two literal placeholders that you must substitute before running any command:

  • {skill_path} — the absolute path to this skill's directory (the directory containing this SKILL.md). At runtime this resolves to something like /Users/<you>/.../skills/weekly-brief. Use it to invoke bundled scripts under scripts/ and to read reference files under references/.
  • {output_dir} — the working/output directory for this brief's HTML, JSON, and final PDF artifacts. Pick a fresh directory per run (e.g. outputs/<project_name>-<week_end>/) and substitute it consistently across the whole workflow.

Read the full file on GitHub · 453 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.

  1. 2mo ago First seen · 453 lines · 170 tokens per session scan A afe8622bdf63

Subscribe to this mod's changes

weekly-brief is a skill published in the GitHub repository adologyai/content-intelligence-plugin (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 170 tokens to every session and 5,968 once invoked, about $0.0007 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.

Related

weekly-brief compared with skills from other repositories

weekly-brief next to 6 skills from other repositories
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