write-like-meng-on-x

write-like-meng-on-x is a skill for Codex from devinilabs/pro-skill. It costs 111 tokens per session (1,665 once invoked), scanned A, a copy of write-like-meng-on-x, MIT.

A writing assistant for creating and refining posts on X, the social network formerly known as Twitter, in Meng To's current writing style. It uses an authored-post collection and related project context as reference.

In plain words
What is it for?
Use it to draft, rewrite, review, or refine X posts in Meng To's voice, including replies, standalone posts, quote posts, threads, and product posts.
Why use it?
It provides a consistent way to draft posts, replies, threads, and resource shares while using evidence from the specified content sources. The description does not promise broader social-media actions.

Skill for Codex

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

Good fit Use it to draft, rewrite, review, or refine X posts in Meng To's voice, including replies, standalone posts, quote posts, threads, and product posts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/devinilabs/pro-skill/write-like-meng-on-x
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 devinilabs/pro-skill --skill write-like-meng-on-x
Clone the repo
git clone --depth 1 https://github.com/devinilabs/pro-skill

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 write-like-meng-on-x

README.md
[![agentmods](https://agentmods.dev/badge/skills/devinilabs/pro-skill/write-like-meng-on-x.svg)](https://agentmods.dev/skills/devinilabs/pro-skill/write-like-meng-on-x)
Your own site
<a href="https://agentmods.dev/skills/devinilabs/pro-skill/write-like-meng-on-x"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/write-like-meng-on-x.svg" alt="Measured on agentmods" 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 1,665 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 100% copy Near-identical to another mod 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 $0.01665
Opus 5 $0.00056 $0.00833
Sonnet 5 $0.00022 $0.00333
Haiku 4.5 $0.00011 $0.00167

Measured 8d ago against content hash 5675889197eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

write-like-meng-on-x 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/update-tweet-corpus.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to write-like-meng-on-x — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agent-skills/codex/write-like-meng-on-x/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Write Like Meng on X

Start

Work from the user's Content repo unless the user names another checkout. If no Content repo is active, locate it from the available workspace roots or ask for the target before writing files.

  1. Read AGENTS.md and run git status --short --branch before changing files.
  2. Read references/voice-profile.md before drafting.
  3. Read only the relevant rows in references/content-source-map.md for factual and personal context.
  4. Search references/tweet-corpus.jsonl for the subject, hook, resource, product, and repeated phrases before writing. Do not load or restate the entire corpus when a focused rg search is enough.
  5. Treat authored X posts as voice evidence, not as copy to splice together.

Use this evidence order:

  1. Current user instructions and raw wording
  2. Recent authored posts of the same format
  3. Trusted personal, product, and resource context in the Content repo
  4. Older authored posts
  5. Prior generated drafts, only for continuity

Draft

Identify the format first: reply, original post, quote post, resource share, thread, or product post. Match examples from the same format because Meng's replies are looser than his standalone posts.

Keep the user's strongest original line when it already sounds natural. Improve clarity, sequence, and specificity without replacing the thought with a generic copywriting framework.

Ground the post in something real when useful:

  • a product Meng has built or actively uses
  • a workflow, constraint, failure, proof point, or result recorded in Content
  • a resource Meng has actually shared
  • a personal detail already supported by the corpus or trusted project context

Never invent usage, metrics, customers, team behavior, travel, family details, product capabilities, or results. Do not turn a resource share into a hidden product pitch.

For every rewrite or drafting request, return exactly five finished options unless the user explicitly requests another count. Put the strongest option first. Make the five options materially different in angle, structure, rhythm, or intent instead of producing five surface-level paraphrases.

Read the full file on GitHub · 134 lines

Files

What ships with it

5 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. 8d ago First seen · 134 lines · 111 tokens per session scan A 5675889197eb

Subscribe to this mod's changes

write-like-meng-on-x is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 26d ago), licensed MIT. It adds 111 tokens to every session and 1,665 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to write-like-meng-on-x, differing in 0 lines, and is treated as a copy.

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