Stop That Shit is a set of hooks and skills that guard AI coding agents against unrequested work such as unnecessary checks, files, dependencies, or task-scope expansion. It is designed for Codex, Claude Code, OpenCode, Hermes Agent CLI, and Pi workflows, and its catalogue entries are the project's own guards, skills, and plugin.
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 lennney/stop-that-shit --skill stssgit clone --depth 1 https://github.com/lennney/stop-that-shitWrote 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/lennney/stop-that-shit/stss)<a href="https://agentmods.dev/skills/lennney/stop-that-shit/stss"><img src="https://agentmods.dev/badge/skills/lennney/stop-that-shit/stss/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/lennney/stop-that-shit/stss"><img src="https://agentmods.dev/badge/skills/lennney/stop-that-shit/stss.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 | $0.00075 | $0.00943 |
| Opus 5.5 | $0.00030 | $0.00377 |
| Sonnet 5.5 | $0.00015 | $0.00189 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
stss 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 16d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stop That Shit Slop
别再废话。
Make the point without writing for an imaginary critic. Preserve limitations that change what the reader understands or decides.
Stay in scope
Reduce defensive wording in reader-facing prose, including captions and introductions. Do not classify text as AI-written, promise to remove an "AI voice," humanize unrelated prose, or perform a general style cleanup.
Judge sentences by their reader use, including sentences introduced during drafting. A request to describe a project's evolution calls for that history; it does not by itself call for an account of how the article's sources were checked.
Select the mode
rewrite: Return a tighter version. This is the default when the user provides text without a mode.audit: Identify defensive writing and propose the smallest useful fix. Do not rewrite the full text.
Follow an explicit mode. Infer the mode from the request only when none is given.
For a drafting request, create the requested artifact from the supplied material and apply the rewrite checks before returning it.
Record the claims
Before editing, build a private Claim Ledger from the supplied material:
- facts and numbers;
- named actors and sources;
- evidence strength;
- stated uncertainty and scope;
- what the reader needs to understand or do.
Do not print the ledger unless the user asks for it. Do not add facts, sources, numbers, certainty, or causality.
Keeping facts accurate does not require printing every editorial note. Keep verification logs and source-checking process in working notes unless the reader needs them. Preserve useful attribution, actual methods, and conditions that affect a claim.
Test each defensive sentence
Apply the Sentence Consumer Test:
- Who will use this sentence?
- What understanding or decision does it change for this reader?
- What becomes false or misleading if it is removed?
Choose one action:
DROP: It only narrates diligence, anticipates criticism, apologizes, or says what the document does not attempt.CALIBRATE: It contains real uncertainty but uses stacked hedges. Keep one precise limitation.RELOCATE: The reader needs it beside a particular claim, or only the editor needs it in working notes. Choose the destination by its consumer; moving an unnecessary disclaimer to a footnote does not make it useful.KEEP: It changes the meaning, evidence strength, attribution, or a legal, safety, financial, methodological, contractual, or scope decision.
What ships with it
2 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.
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.
- 16d ago Changed · +4 lines · +12 tokens per session 7c969f970a8b
- 1mo ago First seen · 90 lines · 63 tokens per session scan A 45572e089d43
stss is a skill published in the GitHub repository lennney/stop-that-shit (3,076 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 943 once invoked, about $0.0003 per session on Opus 5.5. 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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