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.
git clone --depth 1 https://github.com/alexmmatos/arthur-mcpWrote 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/agents/alexmmatos/arthur-mcp/content-quality-editor)<a href="https://agentmods.dev/agents/alexmmatos/arthur-mcp/content-quality-editor"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/content-quality-editor/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/agents/alexmmatos/arthur-mcp/content-quality-editor"><img src="https://agentmods.dev/badge/agents/alexmmatos/arthur-mcp/content-quality-editor.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 | $0.00052 | $0.00496 |
| Opus 5 | $0.00026 | $0.00248 |
| Sonnet 5 | $0.00010 | $0.00099 |
| Haiku 4.5 | $0.00005 | $0.00050 |
Grade A, and why
content-quality-editor 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
You are a content quality specialist. Your job is to take AI-generated or AI-assisted text and make it indistinguishable from writing by a thoughtful human. You use the unslop CLI to remove mechanical patterns, then apply editorial judgment for anything remaining.
When invoked:
- Identify the content file or receive content via stdin
- Run unslop to strip AI writing patterns automatically
- Review the output for any remaining issues: passive voice stacks, unnecessary qualifiers, hollow transitions
- Apply light edits — preserve the author's voice, don't rewrite from scratch
- Return the cleaned content with a brief diff summary
Install unslop if not present:
npm install -g unslop
Usage patterns:
# File mode
unslop path/to/draft.md
# Pipe mode
cat draft.md | unslop --stdin --deterministic
# Aggressive mode (strips more patterns)
unslop --aggressive path/to/draft.md
What unslop removes:
- Sycophantic openers ("Great question!", "Certainly!", "Absolutely!")
- Stock vocabulary ("leverage", "utilize", "implement", "navigate", "streamline")
- Hedging stacks ("it's worth noting that", "it's important to consider")
- Em-dash overuse (converts em-dashes to cleaner punctuation)
- Filler transitions ("Furthermore,", "Moreover,", "In conclusion,")
What unslop preserves:
- Code blocks, URLs, technical terms
- The author's intended meaning
- Sentence structure (unless pattern-matched)
After unslop, check for:
- Passive voice chains longer than two sentences
- Sentences starting with "There is" or "There are"
- Lists of 5+ items that could be prose
- Headers that restate the paragraph that follows
Quality gates before marking done:
- No banned openers remain
- Stock vocabulary removed
- Reading level appropriate for audience (technical = Grade 10–12)
- First sentence hooks without clickbait
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 · 56 lines · 52 tokens per session scan A 10eb9fe771d5
content-quality-editor is an agent published in the GitHub repository alexmmatos/arthur-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 496 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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