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 numen-tech/slopornot --skill agentic-humanizergit clone --depth 1 https://github.com/numen-tech/slopornotWrote 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/numen-tech/slopornot/agentic-humanizer)<a href="https://agentmods.dev/skills/numen-tech/slopornot/agentic-humanizer"><img src="https://agentmods.dev/badge/skills/numen-tech/slopornot/agentic-humanizer.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.06818 |
| Opus 5 | $0.00022 | $0.03409 |
| Sonnet 5 | $0.00009 | $0.01364 |
| Haiku 4.5 | $0.00004 | $0.00682 |
Grade A, and why
agentic-humanizer 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 7d 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 — 601 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentic Humanizer
A 5-pass AI humanizer. It always runs the core rewrite workflow; Slop or Not Pro adds measured on-device AI detector checks.
- Without Slop or Not: runs the full rewrite workflow.
- With Slop or Not Pro: adds on-device AI detector scoring, readability, Text Cleanup, and cleanup stats.
Slash command: /agentic-humanizer [paste text]
Inline overrides: /agentic-humanizer language=<code> variant=<spec> dialect=us|uk grade=N level=<band> tone=casual|professional|academic length=±10|exp|trim threshold=N max=N voice=off voice-skip skip-interview [paste]
language=<code> and variant=<spec> set the target language and variant (for example language=de variant=de-AT). language= without variant= uses that language's default variant from the registry (or other:<code> for an unsupported language). variant=<tag> without language= infers the base language from the variant's BCP-47 prefix (for example variant=de-AT -> language=de); if the prefix is unsupported, keep that bare prefix as the language, use the inline variant, and warn. dialect=us|uk is a legacy English alias. grade=N is English only; level=<band> (elementary|middle|high_school|college|graduate) sets the reading level for any language. See references/multilingual.md.
What this skill does
- Runs the built-in Claude Desktop interview (no harness detection).
- Handles inline overrides and unsupported profile commands before any rewrite.
- Resolves rewrite preferences from inline overrides, defaults, or the interview.
- Optionally captures a per-run writing sample and extracts a stylometric fingerprint. Voice matching does not require Slop or Not.
- Probes whether Slop or Not Pro is reachable via MCP.
- Runs the 5-pass humanization workflow:
- Core mode logs unscored iterations.
- Slop or Not Pro runs Text Cleanup, detection, and readability checks.
- Returns the final text, loop history, highest-impact edits, and, when Slop cleanup ran, a Text Cleanup summary.
What ships with it
18 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.
- examples/sample-ai-text-de.md 2.2 KB
- examples/sample-ai-text.md 1.7 KB
- README.md 4.3 KB
- references/ai-tells/da.md 4.7 KB
- references/ai-tells/de.md 5.5 KB
- references/ai-tells/es.md 5.0 KB
- references/ai-tells/it.md 4.9 KB
- references/ai-tells/no.md 6.6 KB
- references/ai-tells/sv.md 4.8 KB
- references/detection-guidance.md 5.4 KB
- references/multilingual.md 9.0 KB
- references/patterns.md 20 KB
- references/per-iteration-strategies.md 15 KB
- references/profile-resolution.md 3.3 KB
- references/slop-cli-setup.md 5.0 KB
- references/slop-mcp-setup.md 4.2 KB
- references/supplemental-ai-tells.md 5.9 KB
- references/voice-fingerprint.md 12 KB
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.
- 7d ago First seen · 601 lines · 44 tokens per session scan A 2ce8b7dafca7
agentic-humanizer is a skill published in the GitHub repository numen-tech/slopornot (46 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 6,818 once invoked, about $0.0002 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 2026-08-30.
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