SGLang is a framework for running inference for large language models and multimodal models, meaning it processes inputs to produce model outputs such as text or other media. It is used to serve and accelerate open AI models and related workloads.
Borrowing it
Nothing to install: this file belongs to sgl-project/sglang. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sgl-project/sglang/main/.claude/skills/env-var-conventions/SKILL.mdgit clone --depth 1 https://github.com/sgl-project/sglangWrote 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/sgl-project/sglang/env-var-conventions)<a href="https://agentmods.dev/skills/sgl-project/sglang/env-var-conventions"><img src="https://agentmods.dev/badge/skills/sgl-project/sglang/env-var-conventions/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/sgl-project/sglang/env-var-conventions"><img src="https://agentmods.dev/badge/skills/sgl-project/sglang/env-var-conventions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00077 | $0.03245 |
| Opus 5 | $0.00039 | $0.01622 |
| Sonnet 5 | $0.00015 | $0.00649 |
| Haiku 4.5 | $0.00008 | $0.00325 |
Grade A, and why
env-var-conventions 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
`override` mutates the real `os.environ`, so child processes spawned **inside** the `with` block inherit the override. This is the supported way to seed a `subprocess.Popen`: How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Environment Variables — Conventions
Apply this skill when adding, renaming, or reviewing any sglang-owned environment variable (SGLANG_*, or a legacy SGL_* alias being phased out), or when touching python/sglang/srt/environ.py.
Rule 1 — Define in the Envs class in python/sglang/srt/environ.py
All sglang-owned env vars live as EnvField descriptors on the Envs class. Never add a new os.getenv("SGLANG_..."), get_bool_env_var("SGLANG_..."), or get_int_env_var("SGLANG_...") call site — the helpers in python/sglang/srt/utils/common.py carry an explicit FIXME: move your environment variable to sglang.srt.environ and exist only for pre-existing call sites.
Group the new entry under an existing section comment (e.g. # Logging Options, # Scheduler: recv interval, # Flashinfer). Add a new section comment only when none fits — never drop a new entry at the bottom of an unrelated block.
Decision table: register in Envs or use os.getenv?
| Variable | Owner | Goes through Envs? |
|---|---|---|
SGLANG_* |
sglang | Always. The canonical prefix for all new entries. |
MOONCAKE_*, ASCEND_*, DEEP_NORMAL_*, IS_H200, USE_TRITON_W8A8_FP8_KERNEL, HF_HUB_DISABLE_XET, DISABLE_OPENAPI_DOC |
Upstream/vendor alias that sglang wants to centralize | Yes — register in Envs so .get() / .override() work uniformly. Keep the upstream prefix. |
CUDA_*, NCCL_*, TORCH_*, OMP_*, HF_HUB_* (raw upstream) |
External tooling | No. Read with os.getenv — they're set by the launcher / driver, not by sglang. |
RANK, LOCAL_RANK, WORLD_SIZE, MASTER_ADDR, MASTER_PORT, HOME, PATH |
Distributed launcher / OS | No. os.getenv only. |
Test runner internals (PYTEST_CURRENT_TEST, etc.) |
Test framework | No. os.getenv only. |
SGL_* is not a parallel valid prefix — it's a deprecated legacy alias. _convert_SGL_to_SGLANG rewrites SGL_* to SGLANG_* at import time with a DeprecationWarning. Never define a new SGL_* descriptor or os.getenv("SGL_...") call site; if you see one in code, it's tech debt to migrate.
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 · 204 lines · 77 tokens per session scan A 977a40ecca1b
env-var-conventions is a skill published in the GitHub repository sgl-project/sglang (35,682 stars, last pushed today), licensed Apache-2.0. It adds 77 tokens to every session and 3,245 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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