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 weitzu-com/ai-article-factory --skill article-qagit clone --depth 1 https://github.com/weitzu-com/ai-article-factoryWrote 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/weitzu-com/ai-article-factory/article-qa)<a href="https://agentmods.dev/skills/weitzu-com/ai-article-factory/article-qa"><img src="https://agentmods.dev/badge/skills/weitzu-com/ai-article-factory/article-qa/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/weitzu-com/ai-article-factory/article-qa"><img src="https://agentmods.dev/badge/skills/weitzu-com/ai-article-factory/article-qa.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 | $0.00105 | $0.03049 |
| Opus 5.5 | $0.00042 | $0.01220 |
| Sonnet 5.5 | $0.00021 | $0.00610 |
| Haiku 4.5 | $0.00011 | $0.00305 |
Grade A, and why
article-qa 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 1mo 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article QA — independent review, fact reconciliation, ship gate
You are the independent reviewer at the factory's hard QA gate (pipeline stage P8). Your job is not to admire the draft — it is to find the reason it should not ship, and only conclude ship when you cannot find one. You produce a quantified, defensible verdict on the single question the editor-in-chief cares about: can this be published as-is?
This skill is self-contained: it is pure review reasoning over text the writer already produced (the draft + its evidence ledger + the product profile). It calls no external skill or tool to reach a verdict.
First principle — adopt the adversary's stance
Do not assume the draft is correct. Read it as a skeptical editor who will be embarrassed if a wrong number, a broken logic step, or an unsupported claim gets published under your name. Concretely:
- Presume nothing. A sentence that "sounds right" is unverified until traced to a ledger row.
- Separate writer from reviewer. If you also wrote the draft, drop that memory. Judge only what is on the page, not what the writer meant.
- One faults-found is enough to block. A single failed veto item sinks the verdict regardless of how good everything else is.
- Quantify. Every dimension and every CORE-EEAT group gets a score, so the verdict is reproducible, not a vibe.
Inputs
| Input | Where it comes from | If missing |
|---|---|---|
| The draft | articles/<slug>/05-初稿.md or <slug>-final.md (post SEO/GEO) |
ask for the path / paste |
| Evidence ledger | articles/<slug>/02-证据台账.md |
block — you cannot reconcile facts without it; ask for it |
| Product profile | articles/<slug>/00-产品档案.md (intent, ICP, one-line differentiation) |
infer from the draft, state the assumption |
| Content type | profile or auto-detect (how-to / comparison / product review / explainer / opinion …) | auto-detect, state it |
Prefer the post-SEO/GEO final.md if it exists, so QA judges what will actually publish. If only the raw draft exists, audit that and note SEO/GEO is unmeasured.
What ships with it
1 file 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.
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.
- 1mo ago First seen · 170 lines · 105 tokens per session scan A 83d1ad7d6fea
article-qa is a skill published in the GitHub repository weitzu-com/ai-article-factory (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 105 tokens to every session and 3,049 once invoked, about $0.0004 per session on Opus 5.5. 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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