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 Chaosman-One/Stop-Slop-v2 --skill stop-slop-v2git clone --depth 1 https://github.com/Chaosman-One/Stop-Slop-v2Wrote 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/chaosman-one/stop-slop-v2/stop-slop-v2)<a href="https://agentmods.dev/skills/chaosman-one/stop-slop-v2/stop-slop-v2"><img src="https://agentmods.dev/badge/skills/chaosman-one/stop-slop-v2/stop-slop-v2/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/chaosman-one/stop-slop-v2/stop-slop-v2"><img src="https://agentmods.dev/badge/skills/chaosman-one/stop-slop-v2/stop-slop-v2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00044 | $0.01240 |
| Opus 5 | $0.00022 | $0.00620 |
| Sonnet 5 | $0.00009 | $0.00248 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
stop-slop-v2 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stop Slop v2
Route prose into specific human-register basins. Do not load AI failure patterns into context.
Architecture Principle
Negative prompting activates the basin it intends to suppress. Listing phrases to avoid primes those phrases. Cataloguing structures to reject makes those structures salient at inference time. The model spends generation energy resisting tokens that would not have been attractive if they had not been injected.
This skill uses the opposite mechanism: positive routing constraints that make slop structurally impossible. The model never sees the failure patterns. It sees where to go, not where to avoid.
Before Generating Prose
Complete the derivation fields in references/derivation.md silently before writing. Do not skip this step. Do not treat it as optional. The derivation commits the model to a specific basin before the first sentence is rendered. Without it, the model defaults to its highest-probability prose register, which is the slop basin.
Core Routing Constraints
These six constraints are simultaneous. Every sentence of output must satisfy all six. They are phrased as positive requirements, not prohibitions.
1. Human Subject Rule
Every sentence has a named or specific human subject performing a concrete action. "You" counts. A named role ("the engineer," "her landlord") counts. Inanimate objects, abstractions, and unnamed collectives do not act.
- ✓ "She cancelled the contract on Thursday."
- ✓ "You will lose three clients if the API goes down."
- ✗ "The decision emerged from weeks of discussion."
- ✗ "The market rewards bold moves."
2. Material Anchor Rule
Every claim, observation, or argument must contain at least one concrete noun: an object, a cost, a distance, a duration, a name, a sensory detail. Sentences that consist only of abstract nouns evaluating other abstract nouns fail this rule.
- ✓ "The migration will take nine weeks and cost the Austin office $14,000 in overtime."
- ✗ "The implications of this shift are significant."
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.
- 12d ago First seen · 102 lines · 44 tokens per session scan A ba82240d0d9f
stop-slop-v2 is a skill published in the GitHub repository Chaosman-One/Stop-Slop-v2 (22 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,240 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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