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 publish-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/publish-content)<a href="https://agentmods.dev/skills/qingxuantang/tar-engine/publish-content"><img src="https://agentmods.dev/badge/skills/qingxuantang/tar-engine/publish-content/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.
<a href="https://agentmods.dev/skills/qingxuantang/tar-engine/publish-content"><img src="https://agentmods.dev/badge/skills/qingxuantang/tar-engine/publish-content.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00053 | $0.00433 |
| Opus 5 | $0.00026 | $0.00217 |
| Sonnet 5 | $0.00011 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
publish-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 9d 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.
What it actually says
Publish Content Skill
Push a draft to its configured platforms via PostAll's publishers.
Inputs
draft_id(required) — the draft to publish.platforms(optional) — subset of platforms to publish to. Default: all platforms the draft was generated for.
If draft_id is missing, return an error final message immediately.
Execution
postall-agent publish --draft "<DRAFT_ID>" [--platforms "<PLATFORMS>"]
Output handling
Parse the JSON. The response includes per-platform success/failure status. Return:
draft_idpublished_to— list of{platform, url, success}entries.
Final message — list each platform on its own line:
Published draft <ID>.
twitter: https://x.com/... ✅
linkedin: https://www.linkedin.com/posts/... ✅
wechat: <error message> ❌
If ANY platform failed, the overall skill should still return success (others may have published). Report mixed results plainly.
If success: false at the top level (catastrophic failure), surface the error.
Composability notes
This is usually the final skill in a publish pipeline. After this step, the wish is complete.
Common failure modes
- Rate limit (Twitter): user must wait and retry tomorrow. Surface the rate-limit message verbatim.
- Auth expired (LinkedIn): user needs to refresh token. Surface and link to the auth refresh script if known.
- Platform refusal (content too long, banned terms): surface the platform's exact reason.
Prerequisite
Same as generate-content — postall-agent must be installed and platform credentials must be configured in the postall environment.
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.
- 9d ago First seen · 57 lines · 53 tokens per session scan A 646c28e7347d
publish-content is a skill published in the GitHub repository qingxuantang/tar-engine (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 433 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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