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 litestar-org/litestar-skills --skill litestar-middlewaregit clone --depth 1 https://github.com/litestar-org/litestar-skillsWrote 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/litestar-org/litestar-skills/litestar-middleware)<a href="https://agentmods.dev/skills/litestar-org/litestar-skills/litestar-middleware"><img src="https://agentmods.dev/badge/skills/litestar-org/litestar-skills/litestar-middleware/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/litestar-org/litestar-skills/litestar-middleware"><img src="https://agentmods.dev/badge/skills/litestar-org/litestar-skills/litestar-middleware.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 | $0.00048 | $0.00490 |
| Opus 5 | $0.00024 | $0.00245 |
| Sonnet 5 | $0.00010 | $0.00098 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
litestar-middleware 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 11d 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
Litestar Middleware
Use this skill for built-in middleware config, custom ASGI middleware, request lifecycle hooks, and auth user loading.
Code Style Rules
- Use built-in middleware configs before custom middleware.
- Keep middleware focused on cross-cutting request behavior.
- Filter by ASGI scope when middleware applies only to HTTP or WebSocket.
- Keep business policy in Guards and services.
Quick Reference
- Middleware patterns: middleware.md
- Pair with litestar-auth-guards for permission checks.
- Pair with litestar-deployment for proxy and platform concerns.
Workflow
- Decide whether a built-in config solves the need.
- Choose custom middleware only for cross-cutting behavior.
- Set ordering deliberately.
- Verify HTTP and WebSocket behavior separately when both apply.
Guardrails
- Do not put business workflows in middleware.
- Do not apply HTTP-only middleware to WebSocket scopes.
- Do not mutate request state without documenting the key.
- Do not duplicate Guard policy in middleware.
Validation Checkpoint
- Middleware order is intentional.
- Scope filtering is correct.
- Built-in configs are used where available.
- Tests cover the request path affected by middleware.
Example
from litestar.middleware import ASGIMiddleware
middleware = [RequestIDMiddleware()]
References Index
Official References
- https://docs.litestar.dev/ - Litestar documentation
- https://docs.litestar.dev/latest/reference/ - Litestar API reference
Shared Styleguide Baseline
What ships with it
1 file 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.
- 11d ago First seen · 82 lines · 48 tokens per session scan A 852b8e7a76b2
litestar-middleware is a skill published in the GitHub repository litestar-org/litestar-skills (14 stars, last pushed 21d ago), licensed MIT. It adds 48 tokens to every session and 490 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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