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 Encod3d-Sec/TORCH --skill hunt-smugglinggit clone --depth 1 https://github.com/Encod3d-Sec/TORCHWrote 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/encod3d-sec/torch/hunt-smuggling)<a href="https://agentmods.dev/skills/encod3d-sec/torch/hunt-smuggling"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/hunt-smuggling/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/encod3d-sec/torch/hunt-smuggling"><img src="https://agentmods.dev/badge/skills/encod3d-sec/torch/hunt-smuggling.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 | $0.00054 | $0.01653 |
| Opus 5 | $0.00027 | $0.00826 |
| Sonnet 5 | $0.00011 | $0.00331 |
| Haiku 4.5 | $0.00005 | $0.00165 |
Grade A, and why
hunt-smuggling scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
push each load-bearing smuggled request into Repeater rather than leaving it in a curl loop. How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunt: HTTP Request Smuggling
Assumes hunt-core for the scope gate, two-account rule, confirmation gate, enumeration limits, stop conditions, wiki protocol, FIND output, and Deadends. Do not re-derive any of that here.
Wiki
qmd_query "HTTP request smuggling desync CL.TE TE.CL TE.TE CL.0 HTTP/2 downgrade" via wiki-search MCP
Hub: [[web-moc]] (live web index). Primary page: [[http-request-smuggling]]. Payload arsenal: wiki/payloads/smuggling.md.
Anchors: [[reverse-proxy-attacks]].
Attack surface signals
Smuggling needs a front-end that parses headers differently from the back-end: a CDN/WAF/LB in
front of an origin, HTTP/1.1 keep-alive reused across users, or an HTTP/2 edge that downgrades to
HTTP/1.1. Odds rise wherever both Transfer-Encoding and Content-Length are honored somewhere
in the chain.
Rank before probing. Not all front-end/back-end pairs are equally likely:
- HTTP/2 edge downgrading to HTTP/1.1 origin - H2.CL / H2.TE re-open a surface a hardened H1 front-end closes; highest yield on modern stacks.
- Multiple hops in the chain - CDN -> WAF -> LB -> origin; each added parser is another chance for two of them to disagree.
- Mismatched server software front vs back - e.g. a normalising proxy in front of a lenient app server, or vice versa.
- Connection reuse to the back-end - a poisoned prefix only reaches a victim if the back-end pools/keep-alives the connection across requests.
- Endpoints behind the edge auth/path filter - a desync that bypasses a front-end control is worth more than one that does not reach anything privileged.
Methodology
- Detect (timing, safe): send a deliberately malformed TE/CL and watch for a back-end read timeout.
# CL.TE probe (front-end uses CL, back-end uses TE) - delays if vulnerable
POST / HTTP/1.1
Content-Length: 4
Transfer-Encoding: chunked
1
A
0
# TE.CL probe (front-end TE, back-end CL)
Transfer-Encoding: chunked + Content-Length: 6 ; body: "0\r\n\r\nX"
- Confirm (differential): smuggle a prefix that prepends to the victim's request, then issue a normal request and observe the poisoned response (e.g. your
Gprepended to their path -> 404 onGET ...). See the confirmation gate below - a timing delay alone is never the finding. - TE.TE: obfuscate the header so one server ignores it (
Transfer-Encoding: xchunked,Transfer-Encoding,Transfer-Encoding:\tchunked, double TE). - HTTP/2: test H2.CL / H2.TE (smuggle via H2 that downgrades to H1), and H2 request splitting via CRLF in header values.
- CL.0 / H2.0: back-end ignores body -> smuggle a full second request.
- Exploit: capture other users' requests (steal session cookies/headers), bypass front-end auth/path controls, cache-poison via smuggled response, escalate a reflected issue to stored.
- Distill when confirmed - reusable obfuscation or H2-desync variant, GENERIC, no client host:
python3 scripts/wiki-stage.py --kind technique --slug <slug> --target-page techniques/web/http-request-smuggling.md
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.
- 9d ago First seen · 125 lines · 54 tokens per session scan A 7086c0d59af2
hunt-smuggling is a skill published in the GitHub repository Encod3d-Sec/TORCH (318 stars, last pushed 8d ago), licensed MIT. It adds 54 tokens to every session and 1,653 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…