Concepts

Name: Concepts
Author: AgriciDaniel

ASecurity

- The main branch declares version 3.0.0 and an MIT license - The skill now enumerates 25 patterns, with the first five permitting an edit on one sighting and weak-alone patterns requiring corroborating tells in the same passage - Its rewrite instructions preserve supported claims and forbid adding unsupported facts, but this remains a prompt instruction rather than an external verification mechanism - Section 8 bars em and en dashes unless the supplied writer sample uses them, while exempting c

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Added September 19, 2026

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Scanned September 19, 2026

npx -y skills add AgriciDaniel/anti-slop --skill concepts --agent claude-code

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SKILL.md

---
type: "concept"
title: "blader humanizer agent skill"
domain: "detection and repair of AI slop in prose, code, documentation, and agent output, grounded in corpus evidence rather than authorship detection"
status: "active"
created: "2026-07-28"
updated: "2026-07-28"
tags:
  - "#domain/detection-and-repair-of-ai-slop-in-prose-code-documentation-and"
  - "#type/concept"
  - "#confidence/evidence-based"
confidence: "evidence-based"
related:
  - "[[wiki/concepts/_index|Concepts Hub]]"
  - "[[Claim Verification Flow]]"
  - "[[Index]]"
  - "[[Dashboard]]"
  - "[[CONVENTIONS]]"
  - "[[Tag Taxonomy]]"
  - "[[Source Intake Workflow]]"
  - "[[Research Refresh Workflow]]"
  - "[[Synthesis Workflow]]"
  - "[[Reporting Workflow]]"
  - "[[Source Manifest Guide]]"
  - "[[Best Practices Kernel]]"
  - "[[Health Scorecard]]"
  - "[[Action Roadmap]]"
  - "[[Weekly Report]]"
  - "[[Approval Queue]]"
source_urls:
  - "https://github.com/blader/humanizer"
---

# blader humanizer agent skill

## What It Says

- The main branch declares version 3.0.0 and an MIT license
- The skill now enumerates 25 patterns, with the first five permitting an edit on one sighting and weak-alone patterns requiring corroborating tells in the same passage
- Its rewrite instructions preserve supported claims and forbid adding unsupported facts, but this remains a prompt instruction rather than an external verification mechanism
- Section 8 bars em and en dashes unless the supplied writer sample uses them, while exempting code, commands, paths, and URLs
- File mode says to preserve code blocks, inline code, commands, paths, YAML metadata, data, and link targets

## Source

Source: [blader humanizer agent skill](https://github.com/blader/humanizer); type supporting; retrieved 2026-09-11; refresh_due 2026-10-11.



## Canon Backlink

- Canon ledger entry: [references/canon/025-blader-humanizer-agent-skill.md](../../../../references/canon/025-blader-humanizer-agent-skill.md)
- Source ledger: `references/source-ledger.json`

## Related

- [[Claim Verification Flow]]
- [[Source Intake Workflow]]
- [[Research Refresh Workflow]]

Files in this skill

AI Copilot Code Quality 2025.md2.1 KB
AI models collapse when trained on recursively generated data.md1.9 KB
AI-AI Evaluator Bias.md3.4 KB
AI-AI bias large language models favor communications generated by large languag.md2.1 KB
AI-Generated Workslop Is Destroying Productivity.md2 KB
Anthropic study of sycophancy in production conversations.md2 KB
Base Models Look Human To AI Detectors.md2.2 KB
Best Practices Kernel.md1.6 KB
DAMAGE Detecting Adversarially Modified AI Generated Text.md2.1 KB
Delving into LLM-assisted writing in biomedical publications through excess voca.md2 KB
ELEPHANT measuring social sycophancy in language models.md1.9 KB
EU AI Act Article 50 transparency obligations.md2.3 KB
Echoes of AI Investigating the Downstream Effects of AI Assistants on Software M.md2.2 KB
Em Dash Population Prevalence.md3.4 KB
Em-ergence of the em-dash.md1.9 KB
Empirical evidence of Large Language Model's influence on human spoken communica.md2.1 KB
Evidence Tiers.md3.4 KB
From Industry Claims to Empirical Reality An Empirical Study of Code Review Agen.md2 KB
GPT detectors are biased against non-native English writers.md1.8 KB
High-Quality Chaos.md1.7 KB