crosspost

A cross-posting command adapts one piece of content for X, LinkedIn, and Threads, three social platforms with different length and style conventions.

In plain words
What is it for?
It is for creating platform-specific versions of a blog post, announcement, banner, or other source content and distributing them across the three platforms.
Why use it?
It avoids publishing the same unsuitable wording everywhere and handles each platform's format separately.

Command

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/saigonxiii/evc/crosspost
Clone the repo
git clone --depth 1 https://github.com/SaigonXIII/evc
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 617 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 $0.00000 $0.00617
Opus 5 $0.00000 $0.00309
Sonnet 5 $0.00000 $0.00123
Haiku 4.5 $0.00000 $0.00062

Measured 2d ago against content hash 04dfe1ae217e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

crosspost 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 2d 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.

_templates/commands/crosspost.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Crosspost

Distribute content across X, LinkedIn, and Threads with platform-native adaptation.

Trigger

User invokes /crosspost or says "crosspost", "post everywhere", "share on all platforms", "distribute this"

Core Rules

  1. Never post identical content cross-platform. Each platform gets a native adaptation.
  2. X is primary. Post to X first (largest audience), then adapt for others.
  3. Respect platform conventions. Length, formatting, tone all differ.
  4. One idea per post. Split multi-idea content across posts.
  5. Canon guardrails apply. All content must follow brand canon and approved messaging.

Platform Specs

Platform Max Length Link Handling Hashtags Tone
X 280 chars Counted in length None (config.md) Founder, direct, confident
LinkedIn 3000 chars Not counted 3-5 relevant Professional, insight-led
Threads 500 chars Separate attachment None Casual, conversational

Steps

1. Get source content

Identify the anchor asset (blog, banner, announcement, weekly day content). Extract the core message.

2. Draft X version first

  • Open with a hook, not a summary
  • Cut to the core insight fast
  • Keep under 280 chars
  • Apply /stop-slop rules
  • Include Audience, Key Message, Tone of Voice justification

3. Adapt for LinkedIn

  • Strong first line (visible before "see more")
  • Short paragraphs with line breaks
  • Frame around lessons, results, or professional takeaways
  • More explicit context than X
  • 3-5 relevant hashtags

4. Adapt for Threads (optional)

  • Conversational, casual tone
  • Shorter than LinkedIn, less compressed than X
  • Visual-first if possible

5. Present all versions

Show in a table:

Platform Draft Chars
X [draft] [count]
LinkedIn [draft] [count]
Threads [draft] [count]

6. Post approved versions

  • X: post via an X/Twitter MCP tool if available, otherwise stage for manual posting
  • LinkedIn: draft for manual posting (no first-party API flow)
  • Threads: draft for manual posting (no first-party API flow)
  • Stagger 30-60 min between platforms

Read the full file on GitHub · 80 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. 2d ago First seen · 80 lines · 0 tokens per session scan A 04dfe1ae217e

Subscribe to this mod's changes

crosspost is a command published in the GitHub repository SaigonXIII/evc (56 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 617 tokens. 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.