human-writing

human-writing is a skill for Claude Code, Codex from kataras/jwt. It costs 159 tokens per session (1,899 once invoked), scanned A, original, MIT.

A writing guide for the jwt repository, a Go library for authentication tokens. It sets rules for making the project’s documentation sound clear and written by an engineer.

In plain words
What is it for?
Use it when writing or editing repository documentation or Go code comments, then check the text with the repository’s style scanner.
Why use it?
It helps remove common signs of machine-written prose and keeps documentation consistent across the book, README, changelog, and skill files.

Skill for Claude CodeCodex

Part of the jwt plugin — 2 skills shipped together

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.

agentmods
npx agentmods add skills/kataras/jwt/human-writing
Any agent
npx skills add kataras/jwt --skill human-writing
Clone the repo
git clone --depth 1 https://github.com/kataras/jwt

Made for: Claude Code, Codex.

Or install jwt, 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 human-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/kataras/jwt/human-writing.svg)](https://agentmods.dev/skills/kataras/jwt/human-writing)
Your own site
<a href="https://agentmods.dev/skills/kataras/jwt/human-writing"><img src="https://agentmods.dev/badge/skills/kataras/jwt/human-writing.svg" alt="Measured on agentmods" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,899 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00159 $0.01899
Opus 5 $0.00079 $0.00949
Sonnet 5 $0.00032 $0.00380
Haiku 4.5 $0.00016 $0.00190

Measured 5d ago against content hash 7f2709514990, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

human-writing 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 5d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/scan-tells.ps1, scripts/scan-tells.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skill/human-writing/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Human writing, for the jwt repository

This repository is read by people deciding whether to trust a security library with their authentication. It has to sound like an engineer wrote it, because one did. Prose that reads as generated invites the question of whether the code was too.

This skill is the standard, and scripts/scan-tells.ps1 is the check.

Scope

Every tracked markdown file: book/**.md, brand/BRAND.md, skill/**/*.md including this one, and the root README.md and CHANGELOG.md. That is exactly the set the scanner's -Md mode walks, so if the two disagree, one of them has a bug.

Untracked files are out of scope whatever they contain. Local agent configuration is not published, so holding it to a standard no reader will ever see is wasted effort.

Doc comments in .go files are in scope for the standard but not for the scanner. The scanner skips Go entirely, because separating a doc comment from a string literal from a code sample inside a comment is more machinery than it is worth. Those are edited by hand, and the rules below still apply to them.

book/output/ is generated. Never edit it.

book/README.md, the preface, is the reference voice. When you are unsure how a sentence should sound, read it.

Scan before you write, and again after

pwsh skill/human-writing/scripts/scan-tells.ps1 book/03-claims.md
pwsh skill/human-writing/scripts/scan-tells.ps1 -Md              # the whole corpus
pwsh skill/human-writing/scripts/scan-tells.ps1 -Md -Summary     # counts per rule
pwsh skill/human-writing/scripts/scan-tells.ps1 -Wrap book/      # long lines
skill/human-writing/scripts/scan-tells.sh --md --summary         # no pwsh needed

The scanner is fence aware. It never reports anything inside a fenced code block, and it blanks inline code spans, link targets and bare URLs before matching, so an identifier or a URL containing a double dash is not a finding. Exit code is 1 while findings remain.

Zero findings is the bar for every file here. There are no correct-in-context em dashes in this repository.

Read the full file on GitHub · 162 lines

Files

What ships with it

2 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.

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. 5d ago First seen · 162 lines · 159 tokens per session scan A 7f2709514990

Subscribe to this mod's changes

human-writing is a skill published in the GitHub repository kataras/jwt (211 stars, last pushed 14d ago), licensed MIT. It adds 159 tokens to every session and 1,899 once invoked, about $0.0008 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.

Related

Other skills, from other repositories

jwx-guide-v4

Guide for developing Go applications with github.com/lestrrat-go/jwx v4 — parse/sign JWTs, work with JWS/JWE/JWK, pick algorithms, and avoid the common footguns. For developers using jwx, not for developing the library itself.

lestrrat-go/jwx · 61 tokens

jwx-companion-bulk

Apply bulk operations across all jwx companion modules. Args.

lestrrat-go/jwx · 0 tokens

simple-go-api

Teach, explain, review, or extend the vc-gin-api Gin project while preserving its small Router-to-Handler-to-Service-to-DAO flow. Use when a learner asks how a request works, wants to add a field or endpoint, needs a guided Go backend exercise, or asks Codex to check this repository for overengineering. Do not use to…

bg-vc/vc-gin-api · 87 tokens

ddd-go-backend

Build production-ready Go backend services following DDD-layered architecture. Covers project scaffolding, config (Viper), database (GORM + MySQL/PostgreSQL), object storage (S3/MinIO), OAuth2 + JWT auth, OpenTelemetry tracing + Jaeger visualization, Zap logging, middleware patterns, and API routing. Use when creating…

LSTM-Kirigaya/jinhui-skills · 98 tokens

testing-for-json-web-token-vulnerabilities

Test JWT implementations for critical vulnerabilities including algorithm confusion, none algorithm bypass, kid parameter injection, and weak secret exploitation to achieve authentication bypass and privilege escalation.

Njones17/AI-agent-master-cyber-skills-list · 39 tokens

dd-code-generation

Use pup CLI for immediate Datadog operations or generate code for integration into applications.

DataDog/pup · 16 tokens