humanize

A rewriting guide for making text sound more natural and less like it was produced by an AI system.

In plain words
What is it for?
Cleaning up drafts, rewriting text for blogs or social posts, and adjusting wording for a specific audience.
Why use it?
It removes formulaic wording and other common AI writing patterns, making the result easier to read as ordinary human writing.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,196 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 $0.00032 $0.01196
Opus 5 $0.00016 $0.00598
Sonnet 5 $0.00006 $0.00239
Haiku 4.5 $0.00003 $0.00120

Measured 2d ago against content hash 4d59f2a280a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

humanize 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 2d 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.

skills/humanize/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

✍️ Humanize — Rewriting for Natural Voice...

Remove AI tells and rewrite content to sound like a human wrote it.

Activation

When this skill activates, output:

✍️ Humanize — Rewriting for natural voice...

Then execute the protocol below.

Context Guard

Context Status Priority
User says "humanize", "make it sound human/natural" ACTIVE — rewrite content P1
User says "clean up this writing", "remove AI tone" ACTIVE — rewrite content P1
User says "rewrite for blog/social/client" ACTIVE — rewrite with audience in mind P2
User is writing code or technical docs (API refs, JSDoc) DORMANT — technical writing is fine as-is
User is writing commit messages or changelogs DORMANT — these have their own format

Protocol

Step 1: Identify AI Patterns

Scan the content for these common AI writing tells:

Words to eliminate or replace:

AI Pattern Replace With
"delve", "delve into" "explore", "look at", "dig into"
"leverage" "use", "take advantage of"
"utilize" "use"
"facilitate" "help", "make easier"
"comprehensive" (often removable, or "thorough", "complete")
"robust" "solid", "strong", "reliable"
"streamline" "simplify", "speed up"
"moreover", "furthermore" (cut entirely or use "also", "and")
"it's important to note" (cut — just state the thing)
"in conclusion" (cut — the reader knows it's the end)
"in today's [X] landscape" (cut entirely)
"game-changer" (be specific about the benefit)
"navigate" (non-literal) "deal with", "handle", "work through"
"paradigm" (use a concrete noun instead)
"synergy" "overlap", "combination", "fit"

Structural patterns to fix:

  • Excessive hedging: "It might be worth considering that perhaps..." → Just say the thing
  • Hollow transitions: "Now, let's turn our attention to..." → Cut, or use a heading
  • Overlong intros: "In the ever-evolving world of..." → Start with the point
  • Bullet-point-itis: Every section as bullets → Mix in short paragraphs
  • Triple emphasis: "truly remarkable and incredibly powerful" → Pick one adjective
  • Sycophantic openings: "Great question!" → Don't; just answer
  • Unnecessary qualifiers: "very", "really", "quite", "rather" → Usually cuttable

Read the full file on GitHub · 117 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. 2d ago First seen · 117 lines · 32 tokens per session scan A 4d59f2a280a9

Subscribe to this mod's changes

humanize is a skill published in the GitHub repository cwinvestments/memstack (417 stars, last pushed 5d ago), licensed MIT. It adds 32 tokens to every session and 1,196 once invoked, about $0.0002 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.

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