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 VKirill/claude-lane-stack --skill drmax-text-humanizationgit clone --depth 1 https://github.com/VKirill/claude-lane-stackWrote 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/vkirill/claude-lane-stack/drmax-text-humanization)<a href="https://agentmods.dev/skills/vkirill/claude-lane-stack/drmax-text-humanization"><img src="https://agentmods.dev/badge/skills/vkirill/claude-lane-stack/drmax-text-humanization/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/vkirill/claude-lane-stack/drmax-text-humanization"><img src="https://agentmods.dev/badge/skills/vkirill/claude-lane-stack/drmax-text-humanization.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 | $0.00108 | $0.00395 |
| Opus 5.5 | $0.00043 | $0.00158 |
| Sonnet 5.5 | $0.00022 | $0.00079 |
| Haiku 4.5 | $0.00011 | $0.00040 |
Grade A, and why
drmax-text-humanization 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 1mo 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
TEXT HUMANIZATION by DrMax v1.6.1
When
- After X4
экспортor an approved draft: delivery layer only - Draft is factually approved; need natural professional prose
- Not for gaming AI detectors (that is a different, discouraged goal)
Protocol
- Load runtime skill 1:1: ORIGINAL.md
- Optional help + scenarios:
- Prefer
GIST HUMANIZATION HANDOFFif available - Priority: facts → semantic contract → decision architecture → safety → decision value → specificity → clarity → readability → style
- Do not change protected facts, conditions, limits, or unique GIST factors for “smoothness”
Place in pipeline
X4 export / approved draft → Text Humanization → ai-detect → publish
Related
drmax-cocoon-engine-x4— structure and GIST 4.3; this skill does not design pagesai-detect— LinguaForensic 3.9.4 measure after this pass; not a substitutedrmax-signalforge— live-URL experiments, not prose polish
What ships with it
3 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.
- 1mo ago Changed · -12 tokens per session 55e2e3db4629
- 1mo ago First seen · 35 lines · 120 tokens per session scan A 597d21006313
drmax-text-humanization is a skill published in the GitHub repository VKirill/claude-lane-stack (122 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 395 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-05.
Other skills, from other repositories
build-teaql-app
Build or change a TeaQL application in Java, Rust, Go, Swift, Python, C#/.NET, or TypeScript, including Kotlin/JVM applications that consume Java-generated libraries. Mandatory order: first draft and save a complete KSML model, then verify the client and evaluate that saved model, repair it through repeated evaluation…
eval-agents
Audit custom subagent definitions for Claude Code (.claude/agents/.md) and Codex (.codex/agents/.toml): loadability against the native schema, description overlap, model tier, tool scope, and headless-safe instructions. Use when onboarding to a project with agents, after adding or importing agents, or when the parent…
self-assessment
Interactive skill assessment with personalized learning path generation.
land-and-deploy
Merge PR, wait for CI, verify deploy, run canary. The complete landing pipeline.
source-command-methodology-advisor
Analyzes your codebase and asks 3 targeted questions to recommend the right AI-assisted development methodology stack.
git-ai-archaeology
Analyze AI config evolution in a git repo. Use when mapping AI adoption history, finding when configs were first introduced, charting commit velocity by month, or identifying maturity phases in a project's AI tooling.