content-calendar

content-calendar is a skill for Codex from jeremylongworth-source/AgentSkills. It costs 53 tokens per session (286 once invoked), scanned A, original, MIT.

A schedule for planning creator content across dates, platforms, formats, topics, calls to action, assets, owners, and production status.

In plain words
What is it for?
It helps build weekly, monthly, and campaign calendars for evergreen, timely, community, sponsor, product, and proof content.
Why use it?
It turns scattered ideas into a realistic publishing cadence and makes review, batching, reuse, and measurement easier to manage.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It helps build weekly, monthly, and campaign calendars for evergreen, timely, community, sponsor, product, and proof content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeremylongworth-source/agentskills/content-calendar
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 jeremylongworth-source/AgentSkills --skill content-calendar
Clone the repo
git clone --depth 1 https://github.com/jeremylongworth-source/AgentSkills

Made for: 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-calendar

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/content-calendar/github.svg)](https://agentmods.dev/skills/jeremylongworth-source/agentskills/content-calendar)
Your own site
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/content-calendar"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/content-calendar/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-calendar

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/content-calendar"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/content-calendar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 286 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 $0.00053 $0.00286
Opus 5 $0.00026 $0.00143
Sonnet 5 $0.00011 $0.00057
Haiku 4.5 $0.00005 $0.00029

Measured 7d ago against content hash 77fe404f71b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

content-calendar 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 7d 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/content-calendar/SKILL.md · 42 lines

What it actually says

Content Calendar

Core Workflow

  1. Identify campaign window, platforms, cadence, content pillars, production capacity, launch dates, and business goals.
  2. Map posts by date, platform, format, pillar, hook, CTA, asset needs, owner, and status.
  3. Balance evergreen, timely, community, sponsor, product, and proof content.
  4. Include batching, repurposing, review, and publishing checkpoints.
  5. Add measurement expectations and follow-up review cadence.
  6. Flag overload or unrealistic production assumptions.

Safety Rules

  • Do not promise performance outcomes or algorithmic reach.
  • Do not schedule sponsor, regulated, or sensitive posts without review gates.
  • Do not invent platform best times or specs without current evidence.

Deliverable Shape

For content calendars, provide:

  • Calendar range and goals
  • Pillar mix
  • Calendar table
  • Asset and owner notes
  • Review and publishing status
  • Repurposing plan
  • Measurement checkpoint

References

  • Read references/content-calendar-checklist.md when creating creator content calendars.
Files

What ships with it

2 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.

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. 7d ago First seen · 42 lines · 53 tokens per session scan A 77fe404f71b6

Subscribe to this mod's changes

content-calendar is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 8d ago), licensed MIT. It adds 53 tokens to every session and 286 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 2026-09-03.

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