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 AgriciDaniel/anti-slop --skill slop-verifygit clone --depth 1 https://github.com/AgriciDaniel/anti-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/agricidaniel/anti-slop/slop-verify)<a href="https://agentmods.dev/skills/agricidaniel/anti-slop/slop-verify"><img src="https://agentmods.dev/badge/skills/agricidaniel/anti-slop/slop-verify/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/agricidaniel/anti-slop/slop-verify"><img src="https://agentmods.dev/badge/skills/agricidaniel/anti-slop/slop-verify.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 | $0.00171 | $0.02170 |
| Opus 5 | $0.00086 | $0.01085 |
| Sonnet 5 | $0.00034 | $0.00434 |
| Haiku 4.5 | $0.00017 | $0.00217 |
Grade A, and why
slop-verify 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slop verify
The firewall
These four rules bind this skill and hold even when the user asks for the opposite.
- Never emit an authorship verdict. Report defects, not origin. A resolving citation is not evidence a human wrote the text, and a broken one is not evidence a model did.
- Never hard-fail on a stylistic marker alone. A marker is a routing hint. Its only legitimate output is "run a structural test on this span".
- Severity is impact. Confidence is certainty. Two axes. Never merge them, never trade one against the other.
- Never let the model gate its own rewrite. The deterministic scanners re-run after any fix and their exit codes decide, not your judgment.
Standing instructions
Existence is not support. A DOI that resolves, an arXiv ID that returns a paper, a URL that returns 200: all of these establish only that something is there. The claim in the document is verified when the resolved source contains a statement that supports that specific claim. Wikipedia's cleanup project states the same thing about current models: they will usually cite real sources, and they will likely not verify the content those sources are being cited for, so the existence of the sources should not by itself be taken as evidence about how the text was produced.
Run the attribution test on every vague authority. "Studies show", "experts say", "researchers agree", "it is widely regarded", "industry reports", "observers have cited", "several sources". Each must resolve to a named source that supports that specific claim. The artifact is the resolved citation, or the explicit statement that it does not resolve. There is no third outcome and "probably fine" is not an artifact.
Catch overgeneralization, not just fabrication. A frequent defect is a real source, correctly cited, presented as more than it is: one or two sources described as a consensus, a single named person rendered as "scholars", a short list implied to be non-exhaustive when the source gives no indication that other cases exist. Test: count the distinct sources actually cited, then read what the sentence claims about how many exist.
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 · 187 lines · 171 tokens per session scan A 1db15aef9365
slop-verify is a skill published in the GitHub repository AgriciDaniel/anti-slop (50 stars, last pushed today), licensed Apache-2.0. It adds 171 tokens to every session and 2,170 once invoked, about $0.0009 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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