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.
npx skills add strikersam/autonomous-ai-agency --skill stop-slop-qualitygit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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.
[](https://agentmods.dev/skills/strikersam/autonomous-ai-agency/stop-slop-quality)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
- stop-slop: https://github.com/hardikpandya/stop-slop
- Quick-Note Issue: #229
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.
- 9d ago First seen · 60 lines · 20 tokens per session scan A 40bb944dd32a
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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