stop-slop-quality

stop-slop-quality is a skill for Claude Code from strikersam/autonomous-ai-agency. It costs 20 tokens per session (400 once invoked), scanned A, original, MIT.

A command for planning interviews with a highly engaged group of fans and analysing what keeps them involved, might drive them away, or they want more or less of.

In plain words
What is it for?
Use it to choose a fan cohort, prepare interview questions, define a confidentiality process, and create a synthesis plan for the responses.
Why use it?
It focuses the conversation on retention and honest feedback instead of relying on generic engagement surveys or polite responses.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to choose a fan cohort, prepare interview questions, define a confidentiality process, and create a synthesis plan for the responses.

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Install with agentmods
npx agentmods add skills/strikersam/autonomous-ai-agency/stop-slop-quality
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 strikersam/autonomous-ai-agency --skill stop-slop-quality
Clone the repo
git clone --depth 1 https://github.com/strikersam/autonomous-ai-agency

Made for: Claude Code.

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 stop-slop-quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/stop-slop-quality/github.svg)](https://agentmods.dev/skills/strikersam/autonomous-ai-agency/stop-slop-quality)
Your own site
<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/stop-slop-quality"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/stop-slop-quality/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 stop-slop-quality

Your own site · 80×15
<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/stop-slop-quality"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/stop-slop-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 400 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 $0.00020 $0.00400
Opus 5 $0.00010 $0.00200
Sonnet 5 $0.00004 $0.00080
Haiku 4.5 $0.00002 $0.00040

Measured 9d ago against content hash 40bb944dd32a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

stop-slop-quality 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 9d 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/stop-slop-quality/SKILL.md · 60 lines

What it actually says

Stop-Slop Quality Skill

Inspired by: stop-slop — removing AI tells from prose

Purpose: Train AI agents to catch and remove common AI writing patterns (generic phrases, structural clichés, weak prose).

What's Unique About stop-slop

stop-slop identifies AI "tells"—predictable patterns that reveal AI authorship:

  • Banned phrases — "harness-native operator", "it's important to note", "ultimately"
  • Structural clichés — binary contrasts, dramatic fragmentation, false agency
  • Weak prose — passive voice, vague declaratives, Wh-sentence starters

AI Tells Detected

Throat-Clearing Phrases

  • "It's important to note that..."
  • "As you may know..."
  • "It's worth mentioning..."

Emphasis Crutches (Banned Adverbs)

  • truly, really, very, literally, certainly, definitely

Business Jargon

  • leverage, synergy, paradigm shift, ecosystem

Meta-Commentary

  • "The following code demonstrates"
  • "As mentioned above"

Implementation

Create agents/quality_checker.py to check/clean text:

class StopSlopChecker:
    def check_text(self, text: str) -> list[dict]:
        """Find AI tells in text"""
    
    def clean_text(self, text: str) -> str:
        """Remove AI tells"""

Integration Points

  • Pre-commit hook to check commit messages
  • Pre-PR hook to check descriptions
  • Real-time filtering during agent output

References

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. 9d ago First seen · 60 lines · 20 tokens per session scan A 40bb944dd32a

Subscribe to this mod's changes

stop-slop-quality is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 400 once invoked, about $0.0001 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 2026-09-03.

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