Inference Autopilot
rednote-machine-learning/Inference-autopilot
Analyze, benchmark, diagnose, and optimize large-model inference deployments from hardware inventory, model details, workload traces, and latency or throughput SLOs.
生产可用性 / SRE 专家 Owner — 当任务涉及发布风险、运行稳定性、可观测性、容量、资源生命周期、内存泄漏、回滚、故障恢复、运行手册、长连接、队列、缓存或生产验收时使用；要求把实现映射到可运行、可监控、可恢复、可回滚。
Install Production Readiness Sre
$ npx skills add devcodex-labs/devcodex --skill production-readiness-sre -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install devcodex-labs/devcodex production-readiness-sre --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/devcodex-labs/devcodex.git skills-src && mkdir -p .claude/skills && cp -r skills-src/content/skills/production-readiness-sre .claude/skills/production-readiness-sre && 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 "production-readiness-sre" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/production-readiness-sre into .claude/skills/production-readiness-sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-readiness-sre", 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/devcodex-labs/devcodex/tree/main/content/skills/production-readiness-sreType 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 devcodex-labs/devcodex --skill production-readiness-sre -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install devcodex-labs/devcodex production-readiness-sre --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .agents/skills && cp -r skills-src/content/skills/production-readiness-sre .agents/skills/production-readiness-sre && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "production-readiness-sre" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/production-readiness-sre into .agents/skills/production-readiness-sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-readiness-sre", 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 devcodex-labs/devcodex --skill production-readiness-sre -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install devcodex-labs/devcodex production-readiness-sre --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/content/skills/production-readiness-sre .cursor/skills/production-readiness-sre && 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 "production-readiness-sre" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/production-readiness-sre into .cursor/skills/production-readiness-sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-readiness-sre", 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/devcodex-labs/devcodex.git --path content/skills/production-readiness-sre--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 devcodex-labs/devcodex --skill production-readiness-sre -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install devcodex-labs/devcodex production-readiness-sre --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/content/skills/production-readiness-sre .gemini/skills/production-readiness-sre && 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 "production-readiness-sre" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/production-readiness-sre into .gemini/skills/production-readiness-sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-readiness-sre", 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 devcodex-labs/devcodex production-readiness-sreInstalls 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 devcodex-labs/devcodex --skill production-readiness-sre -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .github/skills && cp -r skills-src/content/skills/production-readiness-sre .github/skills/production-readiness-sre && 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 "production-readiness-sre" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/production-readiness-sre into .github/skills/production-readiness-sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-readiness-sre", 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 devcodex-labs/devcodex --skill production-readiness-sre -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install devcodex-labs/devcodex production-readiness-sre --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/devcodex-labs/devcodex.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/content/skills/production-readiness-sre .opencode/skills/production-readiness-sre && 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 "production-readiness-sre" agent skill from https://github.com/devcodex-labs/devcodex/tree/main/content/skills/production-readiness-sre into .opencode/skills/production-readiness-sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "production-readiness-sre", 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.
Facts
- Skill name
production-readiness-sre- GitHub stars
- 439
- Token cost
- ~575 tokens
- SKILL.md length
- 108 words
- Files
- 2
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
生产可用性 / SRE 专家 Owner — 当任务涉及发布风险、运行稳定性、可观测性、容量、资源生命周期、内存泄漏、回滚、故障恢复、运行手册、长连接、队列、缓存或生产验收时使用；要求把实现映射到可运行、可监控、可恢复、可回滚。
- Works in 6 steps: 判断运行面：进程、端口、连接、队列、缓存、文件、定时任务、Hook 或发布包。 → 建立可观测性：日志字段、错误码、指标、trace、命令输出或报告证据。 → 写容量假设：数据规模、并发、超时、重试、批量大小、内存和 CPU 预算。 → …
- Tasks that involve Site reliability engineering
- SKILL.md covers 定位, 触发条件, 核心门禁 and 执行步骤, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Production Readiness Sre is an agent skill from devcodex-labs/devcodex. 生产可用性 / SRE 专家 Owner — 当任务涉及发布风险、运行稳定性、可观测性、容量、资源生命周期、内存泄漏、回滚、故障恢复、运行手册、长连接、队列、缓存或生产验收时使用；要求把实现映射到可运行、可监控、可恢复、可回滚。
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `intent.json`).
It sits in DevOps & Cloud, covering Site reliability engineering. The repository describes itself as: Intent-driven AI coding workflow runtime for consistent context, skills, approvals, validation, and handoffs across six AI coding hosts. The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Site reliability engineering
Example prompts
- “/production-readiness-sre”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 判断运行面：进程、端口、连接、队列、缓存、文件、定时任务、Hook 或发布包。
- 建立可观测性：日志字段、错误码、指标、trace、命令输出或报告证据。
- 写容量假设：数据规模、并发、超时、重试、批量大小、内存和 CPU 预算。
- 检查资源生命周期：创建、复用、关闭、异常路径释放和泄漏探针。
- 枚举故障模式：网络、权限、磁盘、配置、依赖、并发、重复执行和部分失败。
- 定义回滚和运行手册：发布前检查、失败判断、回滚命令、验证方式和后续观察。
What it can do on your machine
Read from SKILL.md and the folder at commit 1dd4525. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Production Readiness Sre loads about 575 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 108 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from devcodex-labs/devcodex at commit 1dd4525, republished under its AGPL-3.0 licence (© devcodex-labs). 108 words, ~575 tokens.
Download SKILL.mdSave it as
.claude/skills/production-readiness-sre/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- production-readiness-sre
- description
- 生产可用性 / SRE 专家 Owner — 当任务涉及发布风险、运行稳定性、可观测性、容量、资源生命周期、内存泄漏、回滚、故障恢复、运行手册、长连接、队列、缓存或生产验收时使用；要求把实现映射到可运行、可监控、可恢复、可回滚。
Production Readiness SRE Skill
定位
本 Skill 负责生产可用性与 SRE Owner 视角。它把“代码能跑”提升为“生产可运行、可观察、可扩展、可恢复、可回滚”，尤其关注长运行服务、资源生命周期、泄漏风险、容量边界和发布失败后的恢复。
触发条件
| 场景 | 是否触发 |
|---|---|
| 服务、CLI、Hook、长连接、队列、缓存、数据库、文件句柄、定时任务或后台进程变化 | 必须 |
| 发布、回滚、生产验收、稳定性、压测、内存泄漏、资源清理或故障恢复 | 必须 |
| 用户要求“全面验证”“发版前检查”“生产可用”“压测/泄漏风险” | 必须 |
| 一次性本地文档修改且无运行面 | N/A + skipReason |
核心门禁
| Gate | 要求 | 证据 |
|---|---|---|
ProductionReadinessSreGate | 变更必须说明可观测性、容量假设、故障模式、回滚和运行证据 | logs、metrics、tests、runbook、release evidence |
ObservabilityPlanGate | 关键路径有日志、指标、trace 或可诊断输出 | observabilityPlan |
CapacityAssumptionGate | 容量、并发、数据量、超时、重试和限流假设明确 | capacityAssumption |
LeakRiskStabilityGate | 长生命周期资源必须检查释放、泄漏风险和必要压测路线 | resource lifecycle、pressure test |
FailureModeRecoveryGate | 超时、下游失败、部分失败、重试风暴和数据不一致有恢复策略 | failureModes |
RollbackRunbookGate | 发布前明确回滚条件、回滚步骤、验证和负责人/触发器 | rollbackPlan、runbookEntry |
执行步骤
- 判断运行面：进程、端口、连接、队列、缓存、文件、定时任务、Hook 或发布包。
- 建立可观测性：日志字段、错误码、指标、trace、命令输出或报告证据。
- 写容量假设：数据规模、并发、超时、重试、批量大小、内存和 CPU 预算。
- 检查资源生命周期：创建、复用、关闭、异常路径释放和泄漏探针。
- 枚举故障模式：网络、权限、磁盘、配置、依赖、并发、重复执行和部分失败。
- 定义回滚和运行手册：发布前检查、失败判断、回滚命令、验证方式和后续观察。
输出字段
## ProductionReadinessSreGate
| 字段 | 内容 |
|------|------|
| observabilityPlan | 日志、指标、trace、错误码、报告或命令输出 |
| capacityAssumption | 并发、数据量、超时、重试、限流、资源预算 |
| failureModes | 下游失败、超时、部分失败、重复执行、数据不一致等 |
| rollbackPlan | 回滚条件、步骤、验证和影响范围 |
| runbookEntry | 运行手册、排障入口、监控和恢复动作 |
| releaseRisk | 发布风险、兼容风险、依赖风险和缓解 |
| operationalEvidence | 测试、压测、日志、构建、pack、install smoke 或人工证据 |反模式
| 反模式 | 修正 |
|---|---|
| 只跑单元测试就宣称可发版 | 补 release-verification、pack/install smoke、回滚和发布后验收 |
| 长连接或 watcher 无清理路径 | 记录生命周期并测试 close / cleanup / timeout |
| 压测只看吞吐，不看内存或句柄增长 | 增加 leak-risk stability 指标和采样窗口 |
| 本地启动服务后不记录 PID/端口或不清理 | 遵守 ServiceLifecycleCleanup，收尾核验端口释放 |
与其他 Skill 的关系
release-verification/audit-release：发布执行和发布审查分别承接 R0~R7 与 release readiness。test-router：将 SRE 风险映射为单元、集成、负载、稳定性、pack、install smoke 或 manual evidence。audit-project：资源生命周期、内存泄漏和工程稳定性审查叠加本 Skill。expert-output-quality：报告必须用生产可用性证据支撑，不只写“测试通过”。
© devcodex-labs, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in content/skills/production-readiness-sre of devcodex-labs/devcodex.
- SKILL.md
- intent.json
Open the folder on GitHubat commit 1dd4525
Compare with similar skills
Production Readiness Sre 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 |
|---|---|---|---|---|---|---|
| Production Readiness Sre this skilldevcodex-labs/devcodex | 439 | — | ~575 | Automated safety check: Pass | AGPL-3.0 | |
| Inference Autopilotrednote-machine-learning/Inference-autopilot | 142 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Executing Distributed System Testsshenli/distributed-system-testing | 231 | — | ~5.1k | Automated safety check: Notes | MIT | |
| Alerting Irmgrafana/skills | 279 | 1 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Slo Implementationwshobson/agents | 40k | 11 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Agentforce D360 Analyzeforcedotcom/sf-skills | 1.1k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Production Readiness Sre
What does Production Readiness Sre do?
生产可用性 / SRE 专家 Owner — 当任务涉及发布风险、运行稳定性、可观测性、容量、资源生命周期、内存泄漏、回滚、故障恢复、运行手册、长连接、队列、缓存或生产验收时使用；要求把实现映射到可运行、可监控、可恢复、可回滚。. Production Readiness Sre is an agent skill from devcodex-labs/devcodex.
When should I use Production Readiness Sre?
Production Readiness Sre fits situations like: tasks that involve Site reliability engineering.
How do I install Production Readiness Sre in Claude Code?
Run `npx skills add devcodex-labs/devcodex --skill production-readiness-sre -a claude-code`. Or copy the skill folder (content/skills/production-readiness-sre in devcodex-labs/devcodex) into .claude/skills/production-readiness-sre in your project. Claude Code loads it when a task matches its description.
How do I install Production Readiness Sre in Codex?
Run `npx skills add devcodex-labs/devcodex --skill production-readiness-sre -a codex`. Or copy the skill folder (content/skills/production-readiness-sre in devcodex-labs/devcodex) into .agents/skills/production-readiness-sre in your project. Codex loads it when a task matches its description.
Can I use Production Readiness Sre in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add devcodex-labs/devcodex --skill production-readiness-sre -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/production-readiness-sre, .gemini/skills/production-readiness-sre, .github/skills/production-readiness-sre and .opencode/skills/production-readiness-sre in your project.
What does Production Readiness Sre need to run?
SKILL.md names no scripts, command-line tools or credentials: Production Readiness Sre is instructions for the agent only.
Does Production Readiness Sre access the network?
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.
Is Production Readiness Sre safe to install?
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.
What licence does Production Readiness Sre use?
Production Readiness Sre is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Production Readiness Sre use?
About 575 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Production Readiness Sre?
Skills that share tags, products or a category with Production Readiness Sre: Inference Autopilot (rednote-machine-learning/Inference-autopilot, 142 stars), Executing Distributed System Tests (shenli/distributed-system-testing, 231 stars), Alerting Irm (grafana/skills, 279 stars) and Slo Implementation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Production Readiness Sre?
devcodex-labs (a GitHub organization) maintains it in devcodex-labs/devcodex, which has 439 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on September 17, 2026.
Source: devcodex-labs/devcodex on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.