Flow Context
flowexec/flow
This project uses flow for automation. An agent skill from flowexec/flow.
Conventions for SGLang environment variables — where to define, how to access, how to name, and how to deprecate.
$ npx skills add sgl-project/sglang --skill env-var-conventions -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sgl-project/sglang env-var-conventions --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/env-var-conventions .claude/skills/env-var-conventions && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "env-var-conventions" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/env-var-conventions into .claude/skills/env-var-conventions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "env-var-conventions", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sgl-project/sglang/tree/main/.agents/skills/env-var-conventionsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sgl-project/sglang --skill env-var-conventions -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sgl-project/sglang env-var-conventions --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/env-var-conventions .agents/skills/env-var-conventions && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "env-var-conventions" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/env-var-conventions into .agents/skills/env-var-conventions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "env-var-conventions", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sgl-project/sglang --skill env-var-conventions -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sgl-project/sglang env-var-conventions --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/env-var-conventions .cursor/skills/env-var-conventions && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "env-var-conventions" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/env-var-conventions into .cursor/skills/env-var-conventions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "env-var-conventions", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sgl-project/sglang.git --path .agents/skills/env-var-conventions--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sgl-project/sglang --skill env-var-conventions -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sgl-project/sglang env-var-conventions --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/env-var-conventions .gemini/skills/env-var-conventions && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "env-var-conventions" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/env-var-conventions into .gemini/skills/env-var-conventions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "env-var-conventions", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sgl-project/sglang env-var-conventionsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sgl-project/sglang --skill env-var-conventions -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/env-var-conventions .github/skills/env-var-conventions && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "env-var-conventions" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/env-var-conventions into .github/skills/env-var-conventions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "env-var-conventions", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sgl-project/sglang --skill env-var-conventions -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sgl-project/sglang env-var-conventions --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/env-var-conventions .opencode/skills/env-var-conventions && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "env-var-conventions" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/env-var-conventions into .opencode/skills/env-var-conventions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "env-var-conventions", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
env-var-conventionsConventions for SGLang environment variables — where to define, how to access, how to name, and how to deprecate.
Env Var Conventions is an agent skill from sgl-project/sglang. Conventions for SGLang environment variables — where to define, how to access, how to name, and how to deprecate. Use when adding, renaming, or reviewing any SGLANG environment variable (or migrating a legacy SGL alias), or when touching python/sglang/srt/environ.py.
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Secrets management. It works with SGLang and Python. The repository describes itself as: SGLang is a high-performance serving framework for large language models and multimodal models. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit f620d73. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Env Var Conventions loads about 2.9k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 1,218 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sgl-project/sglang at commit f620d73, republished under its Apache-2.0 licence (© sgl-project). 1,218 words, ~2,875 tokens.
.claude/skills/env-var-conventions/SKILL.md (or your agent's skills folder).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.
Envs class in python/sglang/srt/environ.pyAll 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.
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.
The rule of thumb: if the value's lifecycle is owned by sglang code (we read it, we may want to override it in tests, we may want to rename it), put it in Envs. If the value is set by something outside sglang and we only consume it as-is, use os.getenv.
| Type | Use for |
|---|---|
EnvBool(default) | boolean flag |
EnvInt(default) | integer |
EnvFloat(default) | float |
EnvStr(default) | string |
EnvTuple(()) | comma-separated list, parsed via s.split(",") and stripped |
Default value:
None as the default (e.g. EnvStr(None), EnvInt(None)). The descriptor handles set-to-None correctly via _set_to_none.ENABLE_FOO = EnvBool(False) means foo is off in prod; DISABLE_FOO = EnvBool(False) means foo is on in prod. See Rule 4 on picking the verb.When a knob has more than two discrete states (e.g. an off / soft / strict ladder), define an IntEnum next to Envs and pass the enum member as the EnvInt default. Callers compare against the enum, not raw integers:
class ToolStrictLevel(IntEnum):
OFF = 0
FUNCTION = 1
PARAMETER = 2
SGLANG_TOOL_STRICT_LEVEL = EnvInt(ToolStrictLevel.OFF)
# At the call site:
if envs.SGLANG_TOOL_STRICT_LEVEL.get() >= ToolStrictLevel.PARAMETER:
...Don't pile SGLANG_ENABLE_FOO_STRICT / SGLANG_ENABLE_FOO_OFF boolean knobs that fight each other — one ordered integer is cleaner.
EnvField API, never raw os.environfrom sglang.srt.environ import envs
if envs.SGLANG_FOO.get():
...envs.SGLANG_FOO is the descriptor itself; its __bool__ and __len__ raise on purpose so that if envs.SGLANG_FOO: fails loudly instead of silently reading as truthy. The .get() is mandatory at every read site.
| Method | Use |
|---|---|
.get() | Read value (parsed). Returns default if unset, or None if explicitly set to None. |
.set(value) | Set value. set(None) flips the internal _set_to_none flag so the next .get() returns None, not default. |
.clear() | Unset entirely. Next .get() returns default. |
.is_set() | True iff the key is present in os.environ (regardless of value, including the explicit-None case). |
.override(value) | Context manager — set on enter, restore exactly what was there on exit. Use this in tests. |
The _set_to_none distinction matters: clear() → is_set()=False, get()=default; set(None) → is_set()=True, get()=None. A few descriptors (e.g. SGLANG_TEST_MAX_RETRY = EnvInt(None), SGLANG_DISAGGREGATION_THREAD_POOL_SIZE = EnvInt(None)) rely on this to distinguish "user opted out" from "default applies".
with envs.SGLANG_TEST_RETRACT.override(True):
...Don't mutate os.environ directly in tests — override restores the original cleanly, including the explicit-None state, even if the block raises.
For multiple overrides composed dynamically, use ExitStack:
with ExitStack() as stack:
for name, value in test_envs.items():
stack.enter_context(getattr(envs, name).override(value))
run_test()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:
with envs.SGLANG_TEST_RETRACT.override(True):
subprocess.Popen([...]).wait()A child started outside the with block sees the original value.
temp_set_env is for non-sglang keys onlyThe module-level temp_set_env(**env_vars) helper exists for overriding non-sglang env vars (e.g. CUDA_LAUNCH_BLOCKING, NCCL_DEBUG) in tests. It explicitly rejects SGLANG_* / SGL_* keys:
# Wrong — raises ValueError
with temp_set_env(SGLANG_TEST_RETRACT="true"): ...
# Right — sglang keys go through the descriptor
with envs.SGLANG_TEST_RETRACT.override(True): ...
# Right — non-sglang keys go through temp_set_env
with temp_set_env(CUDA_LAUNCH_BLOCKING="1"): ...The allow_sglang=True escape hatch exists for the rare case where you must bypass Envs (e.g. setting an env var name that's only constructed at runtime); don't use it just to skip writing a descriptor.
SGLANG_ prefix + verb categoryPrefix is always SGLANG_ for new entries. SGL_* is auto-translated to SGLANG_* with a DeprecationWarning in _convert_SGL_to_SGLANG; never add a new SGL_* key.
The second token signals intent. Pick the right verb up front — renames require an alias entry (Rule 5).
| Verb | Meaning | Example |
|---|---|---|
ENABLE_FOO | Knob that turns feature foo on/off. Default in the EnvBool encodes prod behavior. | SGLANG_ENABLE_TORCH_COMPILE, SGLANG_ENABLE_OVERLAP_PLAN_STREAM |
DISABLE_FOO | Kill-switch. DISABLE_FOO=True turns foo off. | SGLANG_DISABLE_CONSECUTIVE_PREFILL_OVERLAP |
USE_FOO | Selects which implementation / backend | SGLANG_USE_AITER, SGLANG_USE_DEEPGEMM_BMM |
FORCE_FOO | Overrides autodetection | SGLANG_FORCE_FP8_MARLIN, SGLANG_FORCE_STREAM_INTERVAL |
LOG_FOO | Logging-only knob | SGLANG_LOG_GC, SGLANG_LOG_MS |
TEST_FOO | Test-only hook | SGLANG_TEST_RETRACT, SGLANG_TEST_MAX_RETRY |
DEBUG_FOO | Debug-only instrumentation | SGLANG_DEBUG_MEMORY_POOL, SGLANG_DEBUG_SYMM_MEM |
OPT_FOO | Perf-optimization toggle (heavily used by DSV4 work) | SGLANG_OPT_USE_FUSED_HASH_TOPK, SGLANG_OPT_USE_CUSTOM_ALL_REDUCE_V2 |
Picking between ENABLE_FOO and DISABLE_FOO: both verbs are valid. The only forbidden combination is DISABLE_FOO = EnvBool(True), because it produces a true double-negative at the call site (if not envs.SGLANG_DISABLE_FOO.get(): reads as "if not disabled"). All other combinations are fine:
| Pattern | Call site | Verdict |
|---|---|---|
ENABLE_FOO = EnvBool(False) | if envs.SGLANG_ENABLE_FOO.get(): | OK — opt-in feature |
ENABLE_FOO = EnvBool(True) | if envs.SGLANG_ENABLE_FOO.get(): | OK — on in prod, user opts out via False |
DISABLE_FOO = EnvBool(False) | if not envs.SGLANG_DISABLE_FOO.get(): | OK — single negation, reads as "if enabled" |
DISABLE_FOO = EnvBool(True) | if not envs.SGLANG_DISABLE_FOO.get(): | Forbidden — true double-negative |
SGLANG_* is the canonical sglang prefix. Vendor-integration keys (MOONCAKE_*, ASCEND_*, DEEP_NORMAL_*, IS_H200) keep their upstream prefix and live in the same Envs class — these are integration aliases, not sglang-owned feature flags.
*WithAlias or _print_deprecated_envFor a rename where the old key must keep working with a warning:
SGLANG_NEW_NAME = EnvBoolWithAlias(True, deprecated_name="SGLANG_OLD_NAME")Use EnvBoolWithAlias / EnvIntWithAlias. The fallback emits a DeprecationWarning and copies the old value over.
For a full removal where the env var is going away, add to _convert_SGL_to_SGLANG:
_print_deprecated_env("SGLANG_OLD_NAME", "SGLANG_NEW_NAME") # mapped to a replacement
_print_deprecated_env("SGLANG_OLD_NAME") # no replacement, goneFor env-var to CLI-flag migration, add at module top-level:
_warn_deprecated_env_to_cli_flag(
"SGLANG_FOO",
"Please use '--foo' instead.",
)Don't silently flip a default during a rename. If the new default disagrees with the old one, that's a behavior change — call it out in the PR body separately from the rename.
| If the knob is… | Goes in |
|---|---|
| User-facing (documented, expected to flip per deployment) | server_args.py CLI flag |
| Expert toggle, A-B kill-switch, vendor integration | environ.py env var |
| Test / debug hook | environ.py env var with TEST_ / DEBUG_ prefix |
| Temporary env var rolling out to a CLI flag | env var first, then migrate via _warn_deprecated_env_to_cli_flag |
Don't add a CLI flag that just forwards to an env var, and don't add an env var that duplicates an existing CLI flag. Pick one surface.
HF_HUB_*, CUDA_*, NCCL_*, TORCH_*, OMP_*, RANK, MASTER_ADDR, etc.): see the decision table in Rule 1 — os.getenv is correct, don't pull them into Envs.get_bool_env_var(...) / get_int_env_var(...) call sites: leave them as is; new code shouldn't add more, but mass-migration is out of scope for a feature PR.Envs (MOONCAKE_*, ASCEND_*, DEEP_NORMAL_*, IS_H200, USE_TRITON_W8A8_FP8_KERNEL, HF_HUB_DISABLE_XET, DISABLE_OPENAPI_DOC — see Rule 1 decision table): the SGLANG_ prefix rules in Rule 4 don't apply — the upstream prefix is the canonical name.© sgl-project, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/env-var-conventions of sgl-project/sglang.
Open the folder on GitHubat commit f620d73
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sgl-project/sglang, which our catalogue first saw on October 7, 2026.
Env Var Conventions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Env Var Conventions this skillsgl-project/sglang | 37k | 2 repos | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Flow Contextflowexec/flow | 137 | — | ~654 | Automated safety check: Pass | Apache-2.0 | |
| Hyperloom SetupAMD-AGI/Hyperloom | 218 | — | ~7.2k | Automated safety check: Notes | Custom licence | |
| Python Configurationwshobson/agents | 40k | — | ~1.6k | Automated safety check: Notes | MIT | |
| Azurekid-sid/claude-spellbook | 190 | — | ~3.7k | Automated safety check: Notes | MIT | |
| Env Managerbobmatnyc/claude-mpm | 155 | — | ~3.9k | Automated safety check: Notes | Custom licence |
flowexec/flow
This project uses flow for automation. An agent skill from flowexec/flow.
AMD-AGI/Hyperloom
Configures Hyperloom after pip install --target . An agent skill from AMD-AGI/Hyperloom.
wshobson/agents
Python configuration management via environment variables and typed settings.
kid-sid/claude-spellbook
A skill your agent uses when writing Python code that integrates with Azure Blob Storage, AI Search, Document Intelligence, or Key Vault — or when configuring Managed Identity auth, designing a…
bobmatnyc/claude-mpm
Environment variable validation, security scanning, and management for Next.js, Vite, React, and Node.js applications
cwinvestments/memstack
A skill your agent uses when the user says 'deploy to Railway', 'Railway setup', 'railway-deploy', or needs to deploy a Node.js, Python, or Docker application to Railway with environment variables…
sgl-project/sglang
Replay-first debug flow for SGLang serving problems. An agent skill from sgl-project/sglang.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
sgl-project/sglang
Start and persistently pursue a goal to babysit an SGLang pull request until selected GitHub Actions workflows pass on the latest PR head.
sgl-project/sglang
Compute the optimal --mamba-full-memory-ratio (or --max-mamba-cache-size pin) for a hybrid attention + linear-attention (Mamba / GDN / KDA) model's two serving memory pools, from the workload and…
sgl-project/sglang
Debug hanging issues in SGLang distributed inference (TP/PP/DP/EP).
sgl-project/sglang
Write, calibrate, and debug the prefill-vs-decode logprob (KL) consistency tests in sglang -- the two independent conditions a zero requires (every operator batch-invariant, and the two paths…
Categories
Conventions for SGLang environment variables — where to define, how to access, how to name, and how to deprecate. Env Var Conventions is an agent skill from sgl-project/sglang. Conventions for SGLang environment variables — where to define, how to access, how to name, and how to deprecate.
Env Var Conventions fits situations like: reviewing any SGLANG environment variable (or migrating a legacy SGL alias); touching python/sglang/srt/environ.py.
Run `npx skills add sgl-project/sglang --skill env-var-conventions -a claude-code`. Or copy the skill folder (.agents/skills/env-var-conventions in sgl-project/sglang) into .claude/skills/env-var-conventions in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sgl-project/sglang --skill env-var-conventions -a codex`. Or copy the skill folder (.agents/skills/env-var-conventions in sgl-project/sglang) into .agents/skills/env-var-conventions in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sgl-project/sglang --skill env-var-conventions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/env-var-conventions, .gemini/skills/env-var-conventions, .github/skills/env-var-conventions and .opencode/skills/env-var-conventions in your project.
SKILL.md names no scripts, command-line tools or credentials: Env Var Conventions is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Env Var Conventions is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Env Var Conventions: Flow Context (flowexec/flow, 137 stars), Hyperloom Setup (AMD-AGI/Hyperloom, 218 stars), Python Configuration (wshobson/agents, 40k stars) and Azure (kid-sid/claude-spellbook, 190 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sgl-project (a GitHub organization) maintains it in sgl-project/sglang, which has 36,907 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 9, 2026.
Source: sgl-project/sglang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.