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.
Work on Supercheck AI SRE agents, incidents, services, connectors, private agents, tool execution, resilience, memory/performance, environment configuration, CI/CD, or release management.
Install Supercheck Sre Operations
$ npx skills add supercheck-io/supercheck --skill supercheck-sre-operations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install supercheck-io/supercheck supercheck-sre-operations --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/supercheck-io/supercheck.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/sre-operations .claude/skills/supercheck-sre-operations && 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 "supercheck-sre-operations" agent skill from https://github.com/supercheck-io/supercheck/tree/main/.agents/skills/sre-operations into .claude/skills/supercheck-sre-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supercheck-sre-operations", 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/supercheck-io/supercheck/tree/main/.agents/skills/sre-operationsType 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 supercheck-io/supercheck --skill supercheck-sre-operations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install supercheck-io/supercheck supercheck-sre-operations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/supercheck-io/supercheck.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/sre-operations .agents/skills/supercheck-sre-operations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "supercheck-sre-operations" agent skill from https://github.com/supercheck-io/supercheck/tree/main/.agents/skills/sre-operations into .agents/skills/supercheck-sre-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supercheck-sre-operations", 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 supercheck-io/supercheck --skill supercheck-sre-operations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install supercheck-io/supercheck supercheck-sre-operations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/supercheck-io/supercheck.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/sre-operations .cursor/skills/supercheck-sre-operations && 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 "supercheck-sre-operations" agent skill from https://github.com/supercheck-io/supercheck/tree/main/.agents/skills/sre-operations into .cursor/skills/supercheck-sre-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supercheck-sre-operations", 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/supercheck-io/supercheck.git --path .agents/skills/sre-operations--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 supercheck-io/supercheck --skill supercheck-sre-operations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install supercheck-io/supercheck supercheck-sre-operations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/supercheck-io/supercheck.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/sre-operations .gemini/skills/supercheck-sre-operations && 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 "supercheck-sre-operations" agent skill from https://github.com/supercheck-io/supercheck/tree/main/.agents/skills/sre-operations into .gemini/skills/supercheck-sre-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supercheck-sre-operations", 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 supercheck-io/supercheck supercheck-sre-operationsInstalls 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 supercheck-io/supercheck --skill supercheck-sre-operations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/supercheck-io/supercheck.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/sre-operations .github/skills/supercheck-sre-operations && 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 "supercheck-sre-operations" agent skill from https://github.com/supercheck-io/supercheck/tree/main/.agents/skills/sre-operations into .github/skills/supercheck-sre-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supercheck-sre-operations", 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 supercheck-io/supercheck --skill supercheck-sre-operations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install supercheck-io/supercheck supercheck-sre-operations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/supercheck-io/supercheck.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/sre-operations .opencode/skills/supercheck-sre-operations && 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 "supercheck-sre-operations" agent skill from https://github.com/supercheck-io/supercheck/tree/main/.agents/skills/sre-operations into .opencode/skills/supercheck-sre-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supercheck-sre-operations", 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
supercheck-sre-operations- GitHub stars
- 215
- Token cost
- ~1.3k tokens
- SKILL.md length
- 522 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Work on Supercheck AI SRE agents, incidents, services, connectors, private agents, tool execution, resilience, memory/performance, environment configuration, CI/CD, or release management.
- Tasks that involve Site reliability engineering
- SKILL.md covers AI SRE architecture, Tool and provider behavior, Resilience and Memory and performance, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Open source maintenance
What it does
Supercheck Sre Operations is an agent skill from supercheck-io/supercheck. Work on Supercheck AI SRE agents, incidents, services, connectors, private agents, tool execution, resilience, memory/performance, environment configuration, CI/CD, or release management.
Its SKILL.md is about 1.3k 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 Site reliability engineering and Open source maintenance. The repository describes itself as: Open-Source Testing, Monitoring, and AI SRE — as Code. The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Site reliability engineering
- Tasks that involve Open source maintenance
Example prompts
- “/supercheck-sre-operations”
What it can do on your machine
Read from SKILL.md and the folder at commit b08ab53. 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 mermaid).
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
Supercheck Sre Operations loads about 1.3k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 522 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 supercheck-io/supercheck at commit b08ab53, republished under its AGPL-3.0 licence (© supercheck-io). 522 words, ~1,339 tokens.
Download SKILL.mdSave it as
.claude/skills/supercheck-sre-operations/SKILL.md (or your agent's skills folder).- name
- supercheck-sre-operations
- description
- Work on Supercheck AI SRE agents, incidents, services, connectors, private agents, tool execution, resilience, memory/performance, environment configuration, CI/CD, or release management.
Supercheck SRE operations
AI SRE architecture
flowchart LR
SIGNAL[Monitor and telemetry signals] --> INCIDENT[Incident]
INCIDENT --> ORCH[AI SRE orchestrator]
ORCH --> AGENT[Specialized agents]
AGENT --> TOOLS[Scoped evidence tools]
TOOLS --> BRIEF[Evidence and diagnosis]
BRIEF --> HUMAN{Authorization gate}
HUMAN -->|approved| MUTATE[Bounded action]- AI SRE source is split between
app/src/sre,app/src/lib/sre, API routes, components, and matching worker schema/types. - Incidents, services, connectors, private agents, conversations, messages, evidence, tool calls, and usage remain scoped to their owning organization/project.
- Authorization is enforced server-side for every tool call and persisted resource. Model instructions and UI visibility are not authorization.
- Prefer read-only evidence gathering. Mutations require explicit user authority, least-privilege credentials, bounded targets, audit records, and observable outcomes.
- Kubernetes access uses namespace-scoped service accounts and allowed resources/actions; never grant
cluster-admin. - Preserve stable assistant/user message identity through streaming, persistence, polling/reconciliation, retries, and reloads.
- Connector and private-agent credentials stay encrypted/server-side and are never placed in prompts, browser payloads, logs, or model-visible errors.
Tool and provider behavior
- Tool schemas validate inputs and bound output size. Treat provider/tool output as untrusted evidence.
- Cancellation and timeout propagate through model streams, tools, polling, persistence, and UI state.
- Retry only transient/idempotent operations; prevent duplicate messages, actions, tool records, usage events, and charges.
- Provider fallback must preserve tenant scope, safety policy, model allowlists, usage accounting, and error semantics.
- Redact secrets and sensitive telemetry before model invocation and persisted transcripts.
Resilience
- External calls have explicit connection/operation timeouts and abort handling.
- Use exponential backoff with jitter for safe transient retries and circuit breakers for sustained dependency failure.
- Fallbacks degrade explicitly and never bypass authentication, authorization, capacity, billing, or audit controls.
- Redis connections intentionally survive failover; QueueEvents blocking connections remain isolated from normal command timeout behavior.
- Distributed schedulers/locks use ownership tokens and bounded leases so one instance cannot release another’s lock.
Memory and performance
- Bound transcripts, evidence, logs, tool output, arrays, caches, queue payloads, and export/result sizes.
- Stream large responses/artifacts and paginate growing datasets.
- Clean up timers, listeners, subscriptions, AbortControllers, child processes, temporary files, and browser contexts on every terminal path.
- Optimize database access from measured query plans/cardinality; preserve exact React Query cache-key parity between prefetch and hooks.
- Do not trade tenant/security checks for caching or performance.
Show full SKILL.md (198 more words)Show less
Environment configuration
- Environment access is centralized through current config/schema helpers where available.
- Keep app, worker, deployment manifests, examples, docs, and health/config diagnostics synchronized.
- Validate required production values and fail closed when security-critical settings are missing.
- Never expose secrets through health endpoints, startup logs, client-prefixed variables, build output, or configuration APIs.
- Use distinct credentials/key namespaces for auth, encryption, object storage, AI providers, billing, email, and infrastructure.
- BullMQ Redis requires
noeviction; production execution requires gVisor/isolation settings.
Release management
flowchart LR
CODE[Reviewed commit] --> CI[Required CI]
CI --> IMAGE[Immutable signed images]
IMAGE --> MIGRATE[Compatible migration]
MIGRATE --> DEPLOY[Bounded deployment]
DEPLOY --> ACCEPT[Exact-SHA acceptance]
ACCEPT --> CLEAN[Fixture cleanup]- Use semantic project versions and immutable image tags/digests; never deploy
main, another branch name, orlatestto production. - Review database compatibility before rollout and order app/worker/migration changes for version skew.
- CI must not use
pull_request_targetwith untrusted contributor code or expose secrets to fork builds. - A successful build/deploy workflow is not release acceptance. Verify deployed SHA, health, migrations, browser flows, RBAC/flags, workers/control plane, provider/billing gates, and cleanup.
- Keep changelog, package versions, deployment defaults, docs, and release evidence synchronized.
Verify
- Cover tenant/RBAC denial before model/provider/tool execution.
- Cover cancellation, provider failure, transcript identity, retries, audit, usage/billing exactly-once behavior, and connector/private-agent boundaries.
- Use disposable non-production fixtures. Never inject failures into production, use customer credentials/data, exhaust limits, or spend quota only to repeat a proven scenario.
© supercheck-io, 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
Just SKILL.md in .agents/skills/sre-operations of supercheck-io/supercheck.
Open the folder on GitHubat commit b08ab53
Compare with similar skills
Supercheck Sre Operations 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 |
|---|---|---|---|---|---|---|
| Supercheck Sre Operations this skillsupercheck-io/supercheck | 215 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 | |
| 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 Supercheck Sre Operations
What does Supercheck Sre Operations do?
Work on Supercheck AI SRE agents, incidents, services, connectors, private agents, tool execution, resilience, memory/performance, environment configuration, CI/CD, or release management. Supercheck Sre Operations is an agent skill from supercheck-io/supercheck. Work on Supercheck AI SRE agents, incidents, services, connectors, private agents, tool execution, resilience, memory/performance, environment configuration, CI/CD, or release management.
When should I use Supercheck Sre Operations?
Supercheck Sre Operations fits situations like: tasks that involve Site reliability engineering; tasks that involve Open source maintenance.
How do I install Supercheck Sre Operations in Claude Code?
Run `npx skills add supercheck-io/supercheck --skill supercheck-sre-operations -a claude-code`. Or copy the skill folder (.agents/skills/sre-operations in supercheck-io/supercheck) into .claude/skills/supercheck-sre-operations in your project. Claude Code loads it when a task matches its description.
How do I install Supercheck Sre Operations in Codex?
Run `npx skills add supercheck-io/supercheck --skill supercheck-sre-operations -a codex`. Or copy the skill folder (.agents/skills/sre-operations in supercheck-io/supercheck) into .agents/skills/supercheck-sre-operations in your project. Codex loads it when a task matches its description.
Can I use Supercheck Sre Operations 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 supercheck-io/supercheck --skill supercheck-sre-operations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/supercheck-sre-operations, .gemini/skills/supercheck-sre-operations, .github/skills/supercheck-sre-operations and .opencode/skills/supercheck-sre-operations in your project.
What does Supercheck Sre Operations need to run?
SKILL.md names no scripts, command-line tools or credentials: Supercheck Sre Operations is instructions for the agent only.
Does Supercheck Sre Operations 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 Supercheck Sre Operations 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 Supercheck Sre Operations use?
Supercheck Sre Operations 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 Supercheck Sre Operations use?
About 1.3k tokens (SKILL.md is roughly 5.4k 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 Supercheck Sre Operations?
Skills that share tags, products or a category with Supercheck Sre Operations: 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 Supercheck Sre Operations?
supercheck-io (a GitHub organization) maintains it in supercheck-io/supercheck, which has 215 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 9, 2026.
Source: supercheck-io/supercheck on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.