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 randommonicle/claude-skills --skill unslop-textgit clone --depth 1 https://github.com/randommonicle/claude-skillsWrote 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/randommonicle/claude-skills/unslop-text)<a href="https://agentmods.dev/skills/randommonicle/claude-skills/unslop-text"><img src="https://agentmods.dev/badge/skills/randommonicle/claude-skills/unslop-text/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/randommonicle/claude-skills/unslop-text"><img src="https://agentmods.dev/badge/skills/randommonicle/claude-skills/unslop-text.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 | $0.00242 | $0.03442 |
| Opus 5 | $0.00121 | $0.01721 |
| Sonnet 5 | $0.00048 | $0.00688 |
| Haiku 4.5 | $0.00024 | $0.00344 |
Grade A, and why
unslop-text 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 11d 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
unslop-text
Read this first, because the most common misunderstanding sinks the whole thing.
This skill does not write well for you, and it has no house style. It does two narrow things. It removes the specific cues that make text read as machine-written, and, where the text reads as AI because nobody ever chose a voice, it forces a deliberate one. Argument, taste, and what you actually want to say are still yours. A guardrail is not a writer.
Most of the work is the first thing, and most of the first thing is mechanical. This is
where text differs from a website. A UI has no correct look, so its skill can only ever say
"make a deliberate choice." Prose is not like that. Nearly every cited tell has a plain
correct fix that needs no taste at all: the em dash becomes a comma or a period, delve into
becomes look at, the sycophantic opener gets cut, the as an AI boilerplate gets deleted,
the "in conclusion" recap goes. These are not style calls and there is no voice to invent.
You remove the tic and write the plain sentence a person would write. So lead with the plain
fix. Reserve the deliberate-voice work below for the genuinely stylistic choices, and for
prose that reads as empty because nobody decided what it was.
The trap to avoid (this is the whole point)
The failure mode of every anti-AI-writing effort is replacing one default register with another. The 2024 tell was the smooth corporate voice: the em dash, "delve," "it's not just a tool, it's a partner," a bulleted list for everything, a tidy "in conclusion." The 2026 over-correction is its mirror image, the "trying not to sound like AI" voice: staccato three-word fragments, forced lowercase, a "here's the thing" or "look" cold open, a swear dropped in to seem casual, and the truly desperate move of pasting fake typos to beat a detector. People clock the second one just as fast. One auditor in the data flagged deliberately-inserted typos ("excyted," "annownce") as themselves a tell.
Treat the over-corrected register as its own tell, the way a cream-and-serif redesign is its own tell. The most common way to fail this skill is to apply its rules too hard and land in that second voice. Watch three moves in particular. Conspicuous em-dash avoidance: the fix for a dash is a comma or a period, not an ellipsis, not a colon, and not a visibly contorted sentence that bends around the gap, because the bending is as legible as the dash was. Manufactured casualness: a "honestly," a lowercase "i," a "lol" bolted onto writing that is otherwise formal reads as costume, not voice. And rhythm that is uniform in a new way: all-short sentences are as mechanical as all-medium ones. Evenness is the tell, whichever length it settles on. The over-corrected register is documented as a catalog entry in references/tells.md so the human pass checks for it by name.
What ships with it
8 files 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.
- 11d ago First seen · 217 lines · 242 tokens per session scan A 2d896cc1f9b8
unslop-text is a skill published in the GitHub repository randommonicle/claude-skills (23 stars, last pushed 5d ago), licensed Apache-2.0. It adds 242 tokens to every session and 3,442 once invoked, about $0.0012 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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