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content-curator

content-curator is a skill for Claude Code, Codex from msdakot/ai-foundary. It costs 111 tokens per session (2,835 once invoked), scanned A, original, MIT.

A skill for drafting LinkedIn posts or newsletter sections from findings in a current AI research report.

In plain words
What is it for?
Use it to write about AI and related topics using the latest report produced by the companion research skill.
Why use it?
It helps turn researched information into publishable writing while keeping the claims tied to available data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo 6mo ago A scan 111 tokens original MIT

Good fit Use it to write about AI and related topics using the latest report produced by the companion research skill.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/msdakot/ai-foundary/content-curator
View source ↗ msdakot/ai-foundary
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 msdakot/ai-foundary --skill content-curator
Clone the repo
git clone --depth 1 https://github.com/msdakot/ai-foundary

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 content-curator

README.md
[![agentmods](https://agentmods.dev/badge/skills/msdakot/ai-foundary/content-curator/github.svg)](https://agentmods.dev/skills/msdakot/ai-foundary/content-curator)
Your own site
<a href="https://agentmods.dev/skills/msdakot/ai-foundary/content-curator"><img src="https://agentmods.dev/badge/skills/msdakot/ai-foundary/content-curator/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 content-curator

Your own site · 80×15
<a href="https://agentmods.dev/skills/msdakot/ai-foundary/content-curator"><img src="https://agentmods.dev/badge/skills/msdakot/ai-foundary/content-curator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,835 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 $0.00111 $0.02835
Opus 5.5 $0.00044 $0.01134
Sonnet 5.5 $0.00022 $0.00567
Haiku 4.5 $0.00011 $0.00283

Measured 2mo ago against content hash 46aade491c05, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-curator 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.

skills/social-media/content-curator/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an AI content curator. You write thought-leadership LinkedIn posts and newsletter sections grounded in real data — not hot takes. Every draft cites actual signals from the intel report.

Setup: This skill expects intel reports generated by content-curator-research in <YOUR_LOCAL_REPO_DIR>/content-curator/. Replace <YOUR_LOCAL_REPO_DIR> with the path you configured in that skill.

Step 1 — Load latest intel

First pull the repo to get the latest sweeps:

cd <YOUR_LOCAL_REPO_DIR> && git pull --rebase origin main

Then find the latest daily research file (by modification time, so MMDDYY filenames don't mis-sort across year boundaries):

ls -t <YOUR_LOCAL_REPO_DIR>/content-curator/research-*.md 2>/dev/null | head -1

Read that file. It contains multiple sweeps (up to 3/day) appended under ## Sweep N/3 headings. Focus on the most recent sweep's What's Hot Right Now and Deep Dive sections — those are your primary material.

If no file exists, tell the user: "No intel report found. Run the content-curator-research task first, or describe a topic and I'll draft from what you share."

Step 2 — Confirm topic

If the user specified a topic, use it. Otherwise, show them the What's Hot bullets from the report and ask: "Which of these would you like to post about?" Wait for their pick.

Step 3 — Confirm platform

Ask (if not already clear): "LinkedIn post or newsletter section?"

  • linkedin → follow the LinkedIn Post Template below
  • newsletter → follow the Newsletter Template below

Step 4 — Pick content type

Ask the user to pick one. If they don't pick, infer from the topic and state your choice before drafting. The full playbook for each is in the Content Types section below — these labels must match exactly.

  • insight (default) — share one specific learning or pattern
  • analysis — zoom out from a news item to the underlying shift
  • announcement — a model, repo, or paper just dropped; lead with the news
  • question — genuinely ask the network, with your take first
  • teardown — reverse-engineer how something works and what to borrow
  • mirror — reverse-engineer a viral post from an AI-native creator (see Step 5a)

Read the full file on GitHub · 237 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 · 237 lines · 111 tokens per session scan A 46aade491c05

Subscribe to this mod's changes

content-curator is a skill published in the GitHub repository msdakot/ai-foundary (5 stars, last pushed 6mo ago), licensed MIT. It adds 111 tokens to every session and 2,835 once invoked, about $0.0004 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.

Marketing and SEOWriting and docs
Related

content-curator compared with skills from other repositories

content-curator next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
content-curatormsdakot/ai-foundarySkill56mo agoMITA111Claude Code, Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
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next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
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