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 monkilabs/opencastle --skill unslopgit clone --depth 1 https://github.com/monkilabs/opencastleWrote 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/monkilabs/opencastle/unslop)<a href="https://agentmods.dev/skills/monkilabs/opencastle/unslop"><img src="https://agentmods.dev/badge/skills/monkilabs/opencastle/unslop/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/monkilabs/opencastle/unslop"><img src="https://agentmods.dev/badge/skills/monkilabs/opencastle/unslop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01626 |
| Opus 5 | $0.00034 | $0.00813 |
| Sonnet 5 | $0.00014 | $0.00325 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
unslop 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 5d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unslop
Edit text to remove AI patterns and add human voice.
Process
- Scan for the patterns below.
- Rewrite. Preserve meaning, match the intended tone.
- Add soul.
- Self-audit: "what makes this obviously AI generated?" Fix what is left.
Add soul
Removing patterns is half the job. Sterile, voiceless writing is just as obvious.
- Have opinions. React to facts instead of neutrally listing pros and cons.
- Vary rhythm. Short sentences. Then longer ones that take their time.
- Acknowledge complexity. "Impressive but also kind of unsettling" beats "impressive".
- Use "I" when it fits. First person is not unprofessional.
- Let some mess in. Perfect structure looks machine made.
- Be specific. Not "this is concerning" but "there is something unsettling about agents churning away at 3am".
Content
- Puffery. "pivotal moment", "testament to", "evolving landscape", "setting the stage for", "indelible mark". Cut it and state what happened.
- Name-dropping. Listing outlets without context. Pick one, say what it said.
- Superficial -ing phrases. "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete, or expand with a real source.
- Promotional language. "nestled", "vibrant", "breathtaking", "groundbreaking", "renowned", "must-visit". Describe neutrally.
- Vague attributions. "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete the claim.
- Formulaic challenges. "Despite challenges... continues to thrive." Replace with specific facts.
Language
- AI vocabulary. Additionally, crucial, delve, enduring, enhance, fostering, garner, interplay, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore, vibrant. Use plain words.
- Fancy ways to say "is". "serves as", "stands as", "boasts", "features". Say "is" or "has".
- "Not just X, but Y." State the point directly.
- Rule of three. Forcing ideas into groups of three. Use the natural number.
- Synonym cycling. Protagonist, main character, central figure, and hero in one paragraph. Pick one and repeat it.
- False ranges. "from X to Y" where X and Y are not on a meaningful scale. List the topics directly.
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.
- 5d ago First seen · 81 lines · 68 tokens per session scan A 1246379ec5e0
unslop is a skill published in the GitHub repository monkilabs/opencastle (61 stars, last pushed 11d ago), licensed MIT. It adds 68 tokens to every session and 1,626 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 2026-09-03.
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