ai-check

ai-check is a skill for Claude Code from harshaneel/humanize. It costs 81 tokens per session (6,135 once invoked), scanned A, original, MIT.

A text-analysis skill that looks for patterns associated with AI-generated writing and produces a scored report with evidence for each finding.

In plain words
What is it for?
Use it to review text before publishing, investigate whether writing sounds AI-generated, and identify specific wording or structure that creates that impression.
Why use it?
It helps writers understand which parts of a draft may look machine-written instead of relying on a vague overall judgment.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the humanize plugin — 2 skills shipped together

Good fit Use it to review text before publishing, investigate whether writing sounds AI-generated, and identify specific wording or structure that creates that impression.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/harshaneel/humanize/ai-check
Install

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.

Any agent
npx skills add harshaneel/humanize --skill ai-check
Clone the repo
git clone --depth 1 https://github.com/harshaneel/humanize

Made for: Claude Code.

Or install humanize, the plugin that ships this one along with the rest of its 2 skills.

Wrote 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.

agentmods badge for ai-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/harshaneel/humanize/ai-check/github.svg)](https://agentmods.dev/skills/harshaneel/humanize/ai-check)
Your own site
<a href="https://agentmods.dev/skills/harshaneel/humanize/ai-check"><img src="https://agentmods.dev/badge/skills/harshaneel/humanize/ai-check/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.

agentmods 80×15 button for ai-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/harshaneel/humanize/ai-check"><img src="https://agentmods.dev/badge/skills/harshaneel/humanize/ai-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,135 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.06135
Opus 5.5 $0.00032 $0.02454
Sonnet 5.5 $0.00016 $0.01227
Haiku 4.5 $0.00008 $0.00613

Measured 2mo ago against content hash 675276638c8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-check 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 2mo 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.

plugins/humanize/skills/ai-check/SKILL.md · 506 lines

How it starts

The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI-Check Skill

Forensic analysis of text for AI-generation signals. Grounded in the published detection literature (Wu et al. 2025, Mitchell et al. 2023, Kujur 2025, AAAI 2025 shared task).

The output is a structured report, not a vague judgment. Every fired signal cites evidence.


The nine signal categories

Score each category 0–3:

  • 0 = No signal detected (human-consistent)
  • 1 = Weak signal (possible AI, could be human)
  • 2 = Moderate signal (likely AI pattern)
  • 3 = Strong signal (near-certain AI pattern)

Severity-to-score mapping (use for every category):

Evidence in category Score
No flagged instances 0
One weak instance, or vague unease without a specific quote 1
One moderate instance, or two or more weak instances 2
One strong instance, or two or more moderate instances, or four or more weak instances 3

Double-counting policy: a single phrase can fire at most two distinct signals when the phrase is genuinely diagnostic for both. Example: "it is important to note that" is both Signal A (banned vocabulary) and Signal C (institutional hedge). Log it under both, but the same phrase cannot count as two separate weak instances inside the same category.

Total score cap: 9 categories × 3 = 27 maximum.

Signal A: Perplexity (word predictability)

Look for vocabulary that is maximally safe and expected — words that are technically correct but never the most precise or interesting choice a knowledgeable human would make.

Flags:

  • Generic verbs where domain-specific ones belong ("address" instead of "untangle", "implement" instead of "wire up")
  • Adjectives that describe without adding information ("significant improvements", "notable progress", "key challenges")
  • Hedged assertions that swap specificity for safety ("can often lead to", "may result in", "tends to")
  • Any of the canonical AI vocabulary list: delve, leverage (verb), utilize, robust, comprehensive, streamline, foster, facilitate, pivotal, nuanced, notable, notably, enduring, garner, it is worth noting, it is important to note, multifaceted, in the realm of, the landscape of, a myriad of, a plethora of

Read the full file on GitHub · 506 lines

Changes

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.

  1. 2mo ago First seen · 506 lines · 81 tokens per session scan A 675276638c8f

Subscribe to this mod's changes

ai-check is a skill published in the GitHub repository harshaneel/humanize (604 stars, last pushed 1mo ago), licensed MIT. It adds 81 tokens to every session and 6,135 once invoked, about $0.0003 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 2026-08-30.

Related

ai-check compared with skills from other repositories

ai-check next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
ai-checkharshaneel/humanizeSkill6041mo agoMITA81Claude Code
filter-tellspetar-djukic/writing-skillsSkill5todayMITA82Claude Code, Codex
humanizepetar-djukic/writing-skillsSkill5todayMITA192Claude Code, Codex
match-voicepetar-djukic/writing-skillsSkill5todayMITA118Claude Code, Codex
critic-panelpetar-djukic/writing-skillsSkill5todayMITA0Claude Code, Codex
update-referencespetar-djukic/writing-skillsSkill5todayMITA127Claude Code, Codex
accent-dialpetar-djukic/writing-skillsSkill5todayMITA0Claude Code, Codex