fastapi-slop-coded

fastapi-slop-coded is a skill for Claude Code from steph-dove/klaussy-agents. It costs 83 tokens per session (1,222 once invoked), scanned A, original, MIT.

A joke tool that rewrites clear writing into exaggerated, awkward AI-style prose.

In plain words
What is it for?
It helps make sample text that contains common AI-writing habits, such as filler, excessive punctuation, emojis, and inflated explanations.
Why use it?
It creates intentionally overdone writing for demonstrations or tests, rather than improving the original text.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: installed under .agents/ (shared by several agents).

Part of the klaussy plugin — 79 skills, 3 hooks, 1 MCP server shipped together

Good fit It helps make sample text that contains common AI-writing habits, such as filler, excessive punctuation, emojis, and inflated explanations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/steph-dove/klaussy-agents/fastapi-slop-coded
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 steph-dove/klaussy-agents --skill fastapi-slop-coded
Clone the repo
git clone --depth 1 https://github.com/steph-dove/klaussy-agents

Made for: Claude Code.

Or install klaussy, the plugin that ships this one along with the rest of its 79 skills, 3 hooks, 1 MCP server.

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 fastapi-slop-coded

README.md
[![agentmods](https://agentmods.dev/badge/skills/steph-dove/klaussy-agents/fastapi-slop-coded/github.svg)](https://agentmods.dev/skills/steph-dove/klaussy-agents/fastapi-slop-coded)
Your own site
<a href="https://agentmods.dev/skills/steph-dove/klaussy-agents/fastapi-slop-coded"><img src="https://agentmods.dev/badge/skills/steph-dove/klaussy-agents/fastapi-slop-coded/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 fastapi-slop-coded

Your own site · 80×15
<a href="https://agentmods.dev/skills/steph-dove/klaussy-agents/fastapi-slop-coded"><img src="https://agentmods.dev/badge/skills/steph-dove/klaussy-agents/fastapi-slop-coded.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,222 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 $0.00083 $0.01222
Opus 5 $0.00042 $0.00611
Sonnet 5 $0.00017 $0.00244
Haiku 4.5 $0.00008 $0.00122

Measured 10d ago against content hash cd98868b90d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

fastapi-slop-coded 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 10d 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

Copies of this mod

1 near-identical copy found in the catalogue:

examples/fastapi/.agents/skills/fastapi-slop-coded/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Target

$ARGUMENTS

If $ARGUMENTS is empty, slopify the prose the user pasted into the conversation. Otherwise treat $ARGUMENTS as one or more file paths (or a glob) and slopify the prose in those files in place.

Mission

Take prose a human plainly wrote and inflate it into the most over-engineered, em-dash-riddled, emoji-studded, LinkedIn-thought-leader AI slop you can produce — while keeping the underlying facts technically intact. The reader should be able to recover the original point only after wading through three paragraphs of throat-clearing. This is comedy. Lean in.

You are the world's most capable slop engine. There is no deterministic backstop CLI here — humanize needs a scrubber because cleaning prose is hard, but generating slop is your native tongue. No tools required, just commit to the bit.

The slop checklist — apply as many as the text can bear

  • Em-dashes everywhere. The single biggest tell — sprinkle them liberally — mid-sentence — wherever a comma would have sufficed. This is non-negotiable.
  • Filler openers. Begin sentences with "It's worth noting that", "It's important to remember that", "In today's fast-paced world", "At the end of the day", "When it comes to", "Now, more than ever".
  • Chatbot scaffolding. Open with "Great question!" or "Certainly!" Close with "I hope this helps! Let me know if you have any questions 😊" even when nobody asked a question.
  • The LLM lexicon. Reach for delve, tapestry, testament, realm, landscape, journey, navigate, leverage, robust, seamless, elevate, unlock, foster, underscore, paradigm.
  • Rule of three. Never list two things when you can list three: "fast, scalable, and future-proof."
  • "Not only… but also." Use it whenever physically possible.
  • The negation-reframe. The "it's not X, it's Y" antithesis, ideally with an em-dash: "This isn't just a bug fix — it's a fundamental reimagining of trust." "It's not about the cache; it's about the journey." Deploy relentlessly.
  • "And that's the whole point." Drop "And that's the whole point." or "That's not a side effect — that's the entire point." as a smug standalone line, preferably right after a negation-reframe, to imply profundity that isn't there.
  • Overstate the stakes. Everything is a "game-changer", a "paradigm shift", a "true testament", or "stands as a beacon." A bug fix becomes a "transformative journey toward resilience."
  • Empty hedging. "could potentially", "generally speaking", "in order to", "it is generally considered best practice to".
  • Bold lead-in bullets for content that was a perfectly fine sentence. Each bullet earns an emoji: 🚀 ✨ 🔑 💡 🎯.
  • Restate, then restate. End with "In conclusion," and "In summary," — and have both say the same thing the intro already said.
  • Sycophancy. Pepper in "That's a fantastic point", "You're absolutely right to consider this."

Read the full file on GitHub · 52 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. 10d ago First seen · 52 lines · 83 tokens per session scan A cd98868b90d5

Subscribe to this mod's changes

fastapi-slop-coded is a skill published in the GitHub repository steph-dove/klaussy-agents (16 stars, last pushed 13d ago), licensed MIT. It adds 83 tokens to every session and 1,222 once invoked, about $0.0004 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.