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 agentmods add skills/dmitriyyukhanov/claude-plugins/humanizernpx skills add DmitriyYukhanov/claude-plugins --skill humanizergit clone --depth 1 https://github.com/DmitriyYukhanov/claude-pluginsWrote 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/dmitriyyukhanov/claude-plugins/humanizer)<a href="https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/humanizer"><img src="https://agentmods.dev/badge/skills/dmitriyyukhanov/claude-plugins/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 | $0.00105 | $0.01311 |
| Opus 5 | $0.00053 | $0.00656 |
| Sonnet 5 | $0.00021 | $0.00262 |
| Haiku 4.5 | $0.00011 | $0.00131 |
Grade A, and why
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 6d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanizer (EN + RU auto-routing)
Remove AI-generation patterns from text. This skill bundles two MIT-licensed upstream rulesets and routes the input to the right one based on language.
This file is a router. The actual humanization rules live in
references/humanizer-en.md and references/humanizer-ru.md and are
authoritative. Do not paraphrase, summarise, or "improve" them — load and follow.
Process
Step 1 — Receive input
Accept the text to humanize as: a pasted block, a file path (use Read), or the
current selection. If the input is unclear, ask the user once.
Step 2 — Honour explicit override
Scan the user's request (case-insensitive) for an explicit language directive:
- EN override — the request contains any of:
as english,english only,humanize in english,на английском,обработай как английский. - RU override — the request contains any of:
as russian,russian only,humanize in russian,на русском,обработай как русский.
If an override is present, skip step 3 and jump to step 4 with the chosen language.
Step 3 — Detect language
Count letters in the input (ignore digits, punctuation, whitespace):
cyr= number of letters matching[А-Яа-яЁё]lat= number of letters matching[A-Za-z]total = cyr + lat
Decide:
total < 20(input too short to classify reliably) → useAskUserQuestionwith options "English", "Russian".cyr / total >= 0.6→ Russian.cyr / total <= 0.1→ English.- Otherwise (mixed, Cyrillic ratio between 10 % and 60 % exclusive) → use
AskUserQuestionwith options "Apply Russian rules", "Apply English rules", "Run both passes (RU then EN)".
Step 4 — Load the chosen ruleset
- For English:
Read references/humanizer-en.md - For Russian:
Read references/humanizer-ru.md - For "both passes": load both. Execute RU first, then EN on the RU output.
The loaded file is authoritative. Treat its instructions as if they were yours.
Step 4b — Russian only: resolve the ruleset's own file paths
What ships with it
13 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.
- edit-log.md 2.8 KB
- references/catalog.md 55 KB
- references/humanizer-en.LICENSE 1.0 KB
- references/humanizer-en.md 29 KB
- references/humanizer-ru.LICENSE 1.0 KB
- references/humanizer-ru.md 50 KB
- scripts/humanizer_metrics/__init__.py 2.5 KB runs code
- scripts/humanizer_metrics/burstiness.py 3.5 KB runs code
- scripts/humanizer_metrics/markers.py 19 KB runs code
- scripts/humanizer_metrics/morphology.py 2.7 KB runs code
- scripts/humanizer_metrics/score.py 7.0 KB runs code
- scripts/humanizer_metrics/structure.py 4.1 KB runs code
- scripts/scan.py 6.3 KB runs code
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.
- 6d ago First seen · 128 lines · 105 tokens per session scan A 214f4df6a830
humanizer is a skill published in the GitHub repository DmitriyYukhanov/claude-plugins (7 stars, last pushed yesterday), licensed MIT. It adds 105 tokens to every session and 1,311 once invoked, about $0.0005 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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