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.
npx skills add qingxuantang/tar-engine --skill generate-contentgit clone --depth 1 https://github.com/qingxuantang/tar-engineWrote 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.
[](https://agentmods.dev/skills/qingxuantang/tar-engine/generate-content)<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>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.
| Model | Per session | Once 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 |
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.
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."
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.
- 7d ago First seen · 73 lines · 68 tokens per session scan A 53fb7a61adfa
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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