de-slopify

A careful editing pass for removing writing patterns that can make documentation and user-facing text sound machine-written.

In plain words
What is it for?
Use it after writing or revising READMEs, documentation, command-line help, error messages, onboarding text, release notes, or changelogs.
Why use it?
It helps preserve useful information while making project prose feel more natural and trustworthy.

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/hoangsonww/forge-agentic-coding-cli/de-slopify
Any agent
npx skills add hoangsonww/Forge-Agentic-Coding-CLI --skill de-slopify
Clone the repo
git clone --depth 1 https://github.com/hoangsonww/Forge-Agentic-Coding-CLI

Made for: Claude Code, Codex.

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 254 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 $0.00043 $0.00254
Opus 5 $0.00022 $0.00127
Sonnet 5 $0.00009 $0.00051
Haiku 4.5 $0.00004 $0.00025

Measured 2d ago against content hash efdde94068c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

de-slopify 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.

.claude/skills/de-slopify/SKILL.md · 33 lines

What it actually says

/de-slopify

AI writing has tells. Emdashes. "It's not just X, it's Y." "Here's why." Forced enthusiasm. Pseudo-profound openers. These patterns signal "LLM wrote this" to readers and erode trust in the project.

Prompt

Use the verbatim prompt at .flywheel/prompts/de-slopify.md.

Hard rule

No regex. No script. Read each line. Revise each line deliberately. Attempts to automate this pass fail, because the fixes are context-dependent.

When to run

  • After an agent writes or substantially revises README.md.
  • After any change to user-facing CLI help text, error messages, or the onboarding walkthrough.
  • After generating release notes or CHANGELOG.md entries.

What to preserve

Technical specifics, command names, exact flag names, actual counts (tests, providers, tools). Strip tone tics, not information.

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 · 33 lines · 43 tokens per session scan A efdde94068c5

Subscribe to this mod's changes

de-slopify is a skill published in the GitHub repository hoangsonww/Forge-Agentic-Coding-CLI (22 stars, last pushed 16d ago), licensed MIT. It adds 43 tokens to every session and 254 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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