unslop

unslop is a skill for Claude Code, Codex from Firstp1ck/pi-coding-agent-forge. It costs 59 tokens per session (1,735 once invoked), scanned A, a copy of unslop, MIT.

A writing-editing skill that removes common signs of machine-written prose and adds a more natural human voice.

In plain words
What is it for?
Use it when writing or editing READMEs, documentation, commit messages, pull requests, release notes, comments, or chat replies.
Why use it?
It helps agents produce text that sounds less generic, repetitive, or artificially polished while keeping the original meaning.

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/firstp1ck/pi-coding-agent-forge/unslop
Any agent
npx skills add Firstp1ck/pi-coding-agent-forge --skill unslop
Clone the repo
git clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forge

Made for: Claude Code, Codex.

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 unslop

README.md
[![agentmods](https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/unslop.svg)](https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/unslop)
Your own site
<a href="https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/unslop"><img src="https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/unslop.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,735 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 98% copy Near-identical to another mod 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 $0.00059 $0.01735
Opus 5 $0.00030 $0.00868
Sonnet 5 $0.00012 $0.00347
Haiku 4.5 $0.00006 $0.00173

Measured 5d ago against content hash 75ef979d394f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

unslop 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.

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.

Origin

This is a copy

98% identical to unslop — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

pi-skill-unslop/skills/unslop/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Unslop

Edit text to remove AI patterns and add human voice.

Process

  1. Scan for the patterns below.
  2. Rewrite. Preserve meaning, match intended tone.
  3. Add soul (see next section).
  4. Self-audit: "What makes this obviously AI generated?" Fix remaining tells.

Adding soul

Removing patterns is half the job. Sterile, voiceless writing is just as obvious.

  • Have opinions. React to facts instead of neutrally listing pros and cons.
  • Vary rhythm. Short sentences. Then longer ones that take their time. Mix it up.
  • Acknowledge complexity. "Impressive but also kind of unsettling" beats "impressive."
  • Use "I" when it fits. First person isn't unprofessional.
  • Let some mess in. Perfect structure looks machine-made.
  • Be specific. Not "this is concerning" but "there's something unsettling about agents churning away at 3am."

Patterns to detect and fix

Content

  1. Puffery. "pivotal moment", "testament to", "evolving landscape", "setting the stage for", "indelible mark", "deeply rooted". Cut puffery, state what happened.
  2. Name-dropping. Listing media outlets without context. Pick one, say what was said.
  3. Superficial -ing phrases. "highlighting...", "ensuring...", "reflecting...", "showcasing...", "fostering...". Delete or expand with real sources.
  4. Promotional language. "nestled", "vibrant", "breathtaking", "groundbreaking", "renowned", "stunning", "must-visit". Use neutral descriptions.
  5. Vague attributions. "Experts believe", "Industry reports suggest", "Some critics argue". Name the source or delete.
  6. Formulaic challenges. "Despite challenges... continues to thrive." Replace with specific facts.

Language

  1. AI vocabulary. Additionally, crucial, delve, enduring, enhance, fostering, garner, interplay, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore, vibrant. Replace with plain words.
  2. Fancy ways to say "is". "serves as", "stands as", "boasts", "features". Just say "is" or "has".
  3. "Not just X, but Y." State the point directly instead.
  4. Rule of three. Forcing ideas into groups of three. Use the natural number.
  5. Synonym cycling. Protagonist, main character, central figure, hero all in one paragraph. Pick one, repeat it.
  6. False ranges. "from X to Y" where X and Y aren't on a meaningful scale. List topics directly.

Read the full file on GitHub · 87 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. 5d ago First seen · 87 lines · 59 tokens per session scan A 75ef979d394f

Subscribe to this mod's changes

unslop is a skill published in the GitHub repository Firstp1ck/pi-coding-agent-forge (77 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,735 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to unslop, differing in 8 lines, and is treated as a copy.

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