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 nauta-ai/holster --skill slopsquat-preflightgit clone --depth 1 https://github.com/nauta-ai/holsterWrote 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/nauta-ai/holster/slopsquat-preflight)<a href="https://agentmods.dev/skills/nauta-ai/holster/slopsquat-preflight"><img src="https://agentmods.dev/badge/skills/nauta-ai/holster/slopsquat-preflight/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/nauta-ai/holster/slopsquat-preflight"><img src="https://agentmods.dev/badge/skills/nauta-ai/holster/slopsquat-preflight.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 | $0.00074 | $0.00351 |
| Opus 5 | $0.00037 | $0.00176 |
| Sonnet 5 | $0.00015 | $0.00070 |
| Haiku 4.5 | $0.00007 | $0.00035 |
Grade A, and why
slopsquat-preflight 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 10d 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
Before AI-generated code ships or an agent runs on this repo, scan it with holster-scan and report back.
- If
holster-scanis not installed:pip install holster-scan. - Run
holster-scan <absolute-path-to-repo>(defaults to the current directory). It flags two things:- Hallucinated / typosquatted package imports - packages an AI may have invented (
reqeusts,langchain-utils,panda) or published typosquats of popular packages. An attacker can register the hallucinated name, so installing it is a supply-chain risk. - Agent boundary issues - what an agent would inherit: a run wrapper passing the full shell env, an MCP fs-scope wider than the project, unbounded tool calls.
- Hallucinated / typosquatted package imports - packages an AI may have invented (
- Surface any high-severity findings plainly before the user proceeds; for a flagged package, do NOT install or trust it until verified on the real registry.
--format sariffor CI / code-scanning; a.holster.ymlallow:list suppresses known internal/vendor-index packages.
holster-scan runs entirely locally - the repo never leaves the machine. It is NOT generic SAST; it targets the risks unique to AI-generated code.
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.
- 10d ago First seen · 15 lines · 74 tokens per session scan A cbf90be9f1e0
slopsquat-preflight is a skill published in the GitHub repository nauta-ai/holster (0 stars, last pushed 3mo ago), licensed MIT. It adds 74 tokens to every session and 351 once invoked, about $0.0004 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.
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onboard
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connect
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