plan-content

plan-content is a command for Claude Code from squerne/open-career-skills. It costs 13 tokens per session (136 once invoked), scanned A, original, MIT.

A command that plans or drafts LinkedIn posts according to the 360Brew rules, using your profile, story bank, and content calendar. It creates either a set of ideas or one draft.

In plain words
What is it for?
Use it to generate six post ideas, draft a post about a chosen topic, and record drafts in your content calendar.
Why use it?
It turns career experiences and topics into an organised posting plan instead of leaving ideas scattered.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths.

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.

agentmods
npx agentmods add commands/squerne/open-career-skills/plan-content
Clone the repo
git clone --depth 1 https://github.com/squerne/open-career-skills

Made for: Claude Code.

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 plan-content

README.md
[![agentmods](https://agentmods.dev/badge/commands/squerne/open-career-skills/plan-content.svg)](https://agentmods.dev/commands/squerne/open-career-skills/plan-content)
Your own site
<a href="https://agentmods.dev/commands/squerne/open-career-skills/plan-content"><img src="https://agentmods.dev/badge/commands/squerne/open-career-skills/plan-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 136 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00013 $0.00136
Opus 5 $0.00006 $0.00068
Sonnet 5 $0.00003 $0.00027
Haiku 4.5 $0.00001 $0.00014

Measured 6d ago against content hash 1c8c14828e3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

plan-content 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 6d 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.

.claude/commands/plan-content.md · 11 lines

What it actually says

Use the linkedin-360brew-planner skill (.claude/skills/linkedin-360brew-planner/SKILL.md) exactly as written.

  • Inputs: profile/profile.md, story-bank/, and content/calendar.md.
  • If $ARGUMENTS names a topic or idea, run Mode B (draft that post). Otherwise run Mode A (6-idea slate).
  • Log drafted posts to content/calendar.md per the skill's instructions.
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. 6d ago First seen · 11 lines · 13 tokens per session scan A 1c8c14828e3d

Subscribe to this mod's changes

plan-content is a command published in the GitHub repository squerne/open-career-skills (22 stars, last pushed 29d ago), licensed MIT. It adds 13 tokens to every session and 136 once invoked, about $0.0001 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.