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 Eid0lon/zero-slop --skill no-slopgit clone --depth 1 https://github.com/Eid0lon/zero-slopWrote 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/eid0lon/zero-slop/no-slop)<a href="https://agentmods.dev/skills/eid0lon/zero-slop/no-slop"><img src="https://agentmods.dev/badge/skills/eid0lon/zero-slop/no-slop/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/eid0lon/zero-slop/no-slop"><img src="https://agentmods.dev/badge/skills/eid0lon/zero-slop/no-slop.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 | $0.00113 | $0.01167 |
| Opus 5 | $0.00056 | $0.00583 |
| Sonnet 5 | $0.00023 | $0.00233 |
| Haiku 4.5 | $0.00011 | $0.00117 |
Grade A, and why
no-slop 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 8d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
No Slop
No Slop is a cold, precise anti-slop workflow. Its job is to detect generic AI UI, remove it, and block weak output before it ships.
After anti-slop remediation, hand app-like surfaces to reality-skill so the result is not only less generic, but also usable beyond a static mockup.
Command Interface
Use the command grammar in references/command-interface.md.
Primary commands:
no-slop --scan [target]
no-slop --fix [target]
no-slop --redesign [target]
no-slop --judge [target]
no-slop --prevent [target-or-brief]
no-slop --autopsy [target-or-brief]
no-slop -e --scan [target]
Short flags:
-s,--scan: scan and score.-f,--fix: surgical remediation.-r,--redesign: full redesign.-j,--judge: run the strict judge panel.--prevent: prevention mode before UI generation.--autopsy: emit the forensic AI UI Autopsy report.-e,--economy: disable judge subagents and use local deterministic checks only.
Default mode is --scan. Judge mode is active by default unless --economy is set.
First Action
Load steps/step-00-command-router.md.
Step 00 parses command flags, resolves dials and presets, loads the right references, and routes to scan, fix, redesign, judge, or prevent.
Core References
Load only what the task needs:
references/command-interface.md: CLI grammar, flag precedence, output contracts.references/dials-and-presets.md: the eight 0-10 control dials and fast presets.references/ai-slop-patterns.md: detection taxonomy, severity scoring, slop signatures.references/judge-system.md: mandatory multi-agent judge protocol and fail gates.references/prevention-protocol.md: pre-generation detector and judge workflow.references/remediation-playbook.md: fix/redesign tactics and before/after examples.references/design-quality-rubric.md: scoring rubric and quality gates.references/ecosystem-contract.md: ownership, composition, and handoff rules.
Non-Negotiables
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 222 B
- references/ai-slop-patterns.md 9.6 KB
- references/command-interface.md 3.6 KB
- references/design-quality-rubric.md 2.5 KB
- references/dials-and-presets.md 4.9 KB
- references/ecosystem-contract.md 1.9 KB
- references/judge-system.md 4.1 KB
- references/prevention-protocol.md 1.9 KB
- references/remediation-playbook.md 6.1 KB
- scripts/no_slop_cli.py 65 KB runs code
- scripts/test_no_slop_cli.py 8.3 KB runs code
- steps/step-00-command-router.md 1.4 KB
- steps/step-01-detect.md 1.5 KB
- steps/step-02-prevent.md 1000 B
- steps/step-03-remediate.md 1.2 KB
- steps/step-04-judge.md 1.7 KB
- steps/step-05-verify.md 2.8 KB
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.
- 8d ago First seen · 110 lines · 113 tokens per session scan A 5ba745854492
no-slop is a skill published in the GitHub repository Eid0lon/zero-slop (12 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 113 tokens to every session and 1,167 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
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image-to-code
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design-taste-frontend-v1
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is design-taste-frontend (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.
redesign-existing-projects
Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.
high-end-visual-design
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
industrial-brutalist-ui
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.