promote-article

promote-article is a skill for Claude Code from Misar-AI/misarblog-mcp. It costs 46 tokens per session (296 once invoked), scanned A, original, MIT.

A skill that writes separate promotional copy for a Misar.Blog article on X, LinkedIn, and Reddit. It reads the article first and follows each platform's different writing constraints.

In plain words
What is it for?
Use it to create social captions, share an article, recommend a suitable Reddit community, and consider reactions or newsletters when deciding how to promote it.
Why use it?
It avoids reusing one generic post everywhere and reduces the risk of inaccurate claims or promotion that conflicts with a platform's norms.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the misarblog plugin — 7 skills, 3 agents, 2 MCP servers shipped together

Good fit Use it to create social captions, share an article, recommend a suitable Reddit community, and consider reactions or newsletters when deciding how to promote it.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/misar-ai/misarblog-mcp/promote-article
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 Misar-AI/misarblog-mcp --skill promote-article
Clone the repo
git clone --depth 1 https://github.com/Misar-AI/misarblog-mcp

Made for: Claude Code.

Or install misarblog, the plugin that ships this one along with the rest of its 7 skills, 3 agents, 2 MCP servers.

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 promote-article

README.md
[![agentmods](https://agentmods.dev/badge/skills/misar-ai/misarblog-mcp/promote-article/github.svg)](https://agentmods.dev/skills/misar-ai/misarblog-mcp/promote-article)
Your own site
<a href="https://agentmods.dev/skills/misar-ai/misarblog-mcp/promote-article"><img src="https://agentmods.dev/badge/skills/misar-ai/misarblog-mcp/promote-article/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 promote-article

Your own site · 80×15
<a href="https://agentmods.dev/skills/misar-ai/misarblog-mcp/promote-article"><img src="https://agentmods.dev/badge/skills/misar-ai/misarblog-mcp/promote-article.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 296 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 $0.00046 $0.00296
Opus 5 $0.00023 $0.00148
Sonnet 5 $0.00009 $0.00059
Haiku 4.5 $0.00005 $0.00030

Measured 10d ago against content hash 54162a7ffc2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

promote-article 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 10d 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/promote-article/SKILL.md · 37 lines

What it actually says

Promote an article

Read it first

get_article by slug. Captions written from the title alone are the reason most promotional copy reads interchangeably.

Write per platform, not once

Each platform punishes copy written for a different one:

  • X/Twitter — under 280 characters, hook in the first line, link last. No hashtag stuffing.
  • LinkedIn — longer, first person, line breaks between short paragraphs. Lead with the insight, not the announcement.
  • Reddit — conversational and genuinely non-promotional, or it gets removed and the account penalised. Recommend a relevant subreddit and its rules, and say clearly when self-promotion is not welcome there.

Always use the article's real URL from the API.

Amplify

  • get_reactions — a post already resonating is the one worth promoting again.
  • list_newsletter_issues — feature it in the next issue rather than only posting socially.
  • get_follow_status when the user is considering outreach to another creator.

Do not

Claim engagement numbers, endorsements, or coverage that did not happen.

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. 10d ago First seen · 37 lines · 46 tokens per session scan A 54162a7ffc2d

Subscribe to this mod's changes

promote-article is a skill published in the GitHub repository Misar-AI/misarblog-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 296 once invoked, about $0.0002 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 2026-08-31.

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