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.
[production-grade internal] Makes systems reliable in production — SLOs, monitoring, alerting, chaos engineering, incident runbooks, capacity planning.
Install Sre
$ npx skills add nagisanzenin/production-grade --skill sre -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nagisanzenin/production-grade 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/nagisanzenin/production-grade.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sre .claude/skills/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 "sre" agent skill from https://github.com/nagisanzenin/production-grade/tree/main/skills/sre into .claude/skills/sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/nagisanzenin/production-grade/tree/main/skills/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 nagisanzenin/production-grade --skill sre -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nagisanzenin/production-grade sre --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nagisanzenin/production-grade.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sre .agents/skills/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 "sre" agent skill from https://github.com/nagisanzenin/production-grade/tree/main/skills/sre into .agents/skills/sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 nagisanzenin/production-grade --skill sre -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nagisanzenin/production-grade sre --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nagisanzenin/production-grade.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sre .cursor/skills/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 "sre" agent skill from https://github.com/nagisanzenin/production-grade/tree/main/skills/sre into .cursor/skills/sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/nagisanzenin/production-grade.git --path skills/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 nagisanzenin/production-grade --skill sre -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nagisanzenin/production-grade sre --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nagisanzenin/production-grade.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sre .gemini/skills/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 "sre" agent skill from https://github.com/nagisanzenin/production-grade/tree/main/skills/sre into .gemini/skills/sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 nagisanzenin/production-grade 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 nagisanzenin/production-grade --skill sre -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nagisanzenin/production-grade.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sre .github/skills/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 "sre" agent skill from https://github.com/nagisanzenin/production-grade/tree/main/skills/sre into .github/skills/sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 nagisanzenin/production-grade --skill 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 nagisanzenin/production-grade sre --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nagisanzenin/production-grade.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sre .opencode/skills/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 "sre" agent skill from https://github.com/nagisanzenin/production-grade/tree/main/skills/sre into .opencode/skills/sre/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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
sre- GitHub stars
- 181
- Token cost
- ~3.2k tokens
- SKILL.md length
- 1,170 words
- Files
- 6
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- None found
At a glance
[production-grade internal] Makes systems reliable in production — SLOs, monitoring, alerting, chaos engineering, incident runbooks, capacity planning.
- Works in 3 steps: Phase 1: Readiness Review (sequential —… → Phase 2: SLO Definition (sequential —… → Phases 3-5: Chaos + Incidents + Capacity…
- Tasks that involve Site reliability engineering
- SKILL.md covers Preprocessing, Brownfield Awareness, Engagement Mode and Progress Output, plus 11 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sre is an agent skill from nagisanzenin/production-grade. [production-grade internal] Makes systems reliable in production — SLOs, monitoring, alerting, chaos engineering, incident runbooks, capacity planning. Routed via the production-grade orchestrator.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `phases/01-readiness-review.md`, `phases/02-slo-definition.md` and `phases/03-chaos-engineering.md`).
It sits in DevOps & Cloud, covering Site reliability engineering. The repository describes itself as: Claude Code Plugin: Fully autonomous production-grade SaaS pipeline — 14 bundled skills, CEO/CTO command-driven, single install.
When your agent uses it
- Tasks that involve Site reliability engineering
Example prompts
- “/sre”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Phase 1: Readiness Review (sequential — foundational assessment)
- Phase 2: SLO Definition (sequential — all other phases reference SLOs)
- Phases 3-5: Chaos + Incidents + Capacity (PARALLEL)
What it can do on your machine
Read from SKILL.md and the folder at commit 4b2f13f. 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 python).
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
Sre loads about 3.2k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 1,170 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,170 words (~3,206 tokens).
“!cat Claude-Production-Grade-Suite/.protocols/ux-protocol.md 2>/dev/null || true !cat Claude-Production-Grade-Suite/.protocols/input-validation.md 2>/dev/null || true !cat Claude-Production-Grade-Suite/.protocols/tool-efficiency.md 2>/dev/null || true !cat Claude-Production-Grade-Suite/.protocols/visual-identity.md 2>/dev/null || true !cat Claude-Production-Grade-Suite/.protocols/freshness-protocol.md 2>/dev/null || true !cat Claude-Production-Grade-Suite/.protocols/receipt-protocol.md 2>/dev/null || true !cat Claude-Production-Grade-Suite/.protocols/boundary-safety.md 2>/dev/null || true !cat Claude-Production-Grade-Suite/.protocols/loop-protocol.md 2>/dev/null || true…”
- name
- sre
Files
SKILL.md and 5 other files in skills/sre of nagisanzenin/production-grade.
- SKILL.md
- phases/01-readiness-review.md
- phases/02-slo-definition.md
- phases/03-chaos-engineering.md
- phases/04-incident-management.md
- phases/05-capacity-planning.md
Open the folder on GitHubat commit 4b2f13f
Compare with similar skills
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 |
|---|---|---|---|---|---|---|
| Sre this skillnagisanzenin/production-grade | 181 | — | ~3.2k | Automated safety check: Pass | None | |
| Inference Autopilotrednote-machine-learning/Inference-autopilot | 144 | — | ~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 | 282 | 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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Related
Categories
Questions about Sre
What does Sre do?
[production-grade internal] Makes systems reliable in production — SLOs, monitoring, alerting, chaos engineering, incident runbooks, capacity planning. Sre is an agent skill from nagisanzenin/production-grade. [production-grade internal] Makes systems reliable in production — SLOs, monitoring, alerting, chaos engineering, incident runbooks, capacity planning.
When should I use Sre?
Sre fits situations like: tasks that involve Site reliability engineering.
How do I install Sre in Claude Code?
Run `npx skills add nagisanzenin/production-grade --skill sre -a claude-code`. Or copy the skill folder (skills/sre in nagisanzenin/production-grade) into .claude/skills/sre in your project. Claude Code loads it when a task matches its description.
How do I install Sre in Codex?
Run `npx skills add nagisanzenin/production-grade --skill sre -a codex`. Or copy the skill folder (skills/sre in nagisanzenin/production-grade) into .agents/skills/sre in your project. Codex loads it when a task matches its description.
Can I use 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 nagisanzenin/production-grade --skill 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/sre, .gemini/skills/sre, .github/skills/sre and .opencode/skills/sre in your project.
What does Sre need to run?
SKILL.md names no scripts, command-line tools or credentials: Sre is instructions for the agent only. Our summary lists: Python 3.
Does 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 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 Sre use?
No licence was found for Sre or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Sre use?
About 3.2k tokens (SKILL.md is roughly 13k 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 Sre?
Skills that share tags, products or a category with Sre: Inference Autopilot (rednote-machine-learning/Inference-autopilot, 144 stars), Executing Distributed System Tests (shenli/distributed-system-testing, 231 stars), Alerting Irm (grafana/skills, 282 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 Sre?
nagisanzenin (a GitHub user) maintains it in nagisanzenin/production-grade, which has 181 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 19, 2026.
Source: nagisanzenin/production-grade on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.