generate-content

generate-content is a skill for Claude Code, Codex from qingxuantang/tar-engine. It costs 68 tokens per session (592 once invoked), scanned A, original, Apache-2.0.

A skill that drafts text for social platforms from a topic or web page. It supports platform-specific drafts, optional writing styles, and a preview of the generated content.

In plain words
What is it for?
Use it to prepare drafts for Twitter, LinkedIn, WeChat, and other supported platforms from a topic or URL.
Why use it?
It removes the need to manually reshape one idea for each social network and keeps the required topic and platform details together.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare drafts for Twitter, LinkedIn, WeChat, and other supported platforms from a topic or URL.

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Install with agentmods
npx agentmods add skills/qingxuantang/tar-engine/generate-content
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 qingxuantang/tar-engine --skill generate-content
Clone the repo
git clone --depth 1 https://github.com/qingxuantang/tar-engine

Made for: Claude Code, 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 generate-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/qingxuantang/tar-engine/generate-content.svg)](https://agentmods.dev/skills/qingxuantang/tar-engine/generate-content)
Your own site
<a href="https://agentmods.dev/skills/qingxuantang/tar-engine/generate-content"><img src="https://agentmods.dev/badge/skills/qingxuantang/tar-engine/generate-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 592 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 $0.00068 $0.00592
Opus 5 $0.00034 $0.00296
Sonnet 5 $0.00014 $0.00118
Haiku 4.5 $0.00007 $0.00059

Measured 7d ago against content hash 53fb7a61adfa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

generate-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 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.

packs/postall-content/skills/generate-content/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Content Skill

Produce platform-specific draft text using PostAll's generator.

Inputs

The planner provides these args (read from args):

  • topic (required) — what the content is about, in plain language.
  • platforms (required) — comma-separated list, e.g. twitter,linkedin,wechat.
  • style (optional) — professional / casual / technical / playful. Default: professional.
  • url (optional) — if the wish included a URL, pass it so postall extracts content from it.

If topic or platforms is missing, return an error final message and do not call postall-agent.

Execution

Invoke postall-agent via run_bash. Build the command from the args:

postall-agent generate \
  --topic "<TOPIC>" \
  --platforms "<PLATFORMS>" \
  [--style "<STYLE>"] \
  [--url "<URL>"]

The CLI prints a JSON object to stdout. Capture it.

Output handling

Parse the JSON. Key fields you must return to the user:

  • draft_id — needed by downstream skills (image, publish).
  • platforms — confirmation of which platforms got drafts.
  • content_preview — first 200 chars of each platform's draft for the user to skim.

Return a single concise final message in this shape:

Draft created.

draft_id: <ID>
platforms: <PLATFORMS>

Twitter:
  <first ~200 chars>

LinkedIn:
  <first ~200 chars>

If postall-agent returns success: false, surface the error message to the user verbatim and do NOT pretend the draft was created.

Composability notes

Other skills in this pack consume draft_id. The wish-runner threads it through the args of the next skill automatically — you don't have to do anything special, just make sure draft_id is in your final message so the engine can extract it.

Prerequisite

This skill requires postall-agent to be installed in the engine container:

pip install postall-agent

If postall-agent is not found (run_bash returns "command not found"), tell the user: "This skill needs the postall-agent CLI installed. Run pip install postall-agent in the engine container and retry."

Read the full file on GitHub · 73 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. 7d ago First seen · 73 lines · 68 tokens per session scan A 53fb7a61adfa

Subscribe to this mod's changes

generate-content is a skill published in the GitHub repository qingxuantang/tar-engine (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 592 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 2026-08-31.

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