Agent skill

Supercheck Platform Features

by supercheck-io in supercheck-io/supercheck

Work on Supercheck CLI, AI test repair/providers, realtime SSE, web playground, requirements, status pages, tags, or their APIs and user workflows.

AGPL-3.0Auto-check passedDevOps & Cloud

Install Supercheck Platform Features

skills CLI
$ npx skills add supercheck-io/supercheck --skill supercheck-platform-features -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install supercheck-io/supercheck supercheck-platform-features --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/supercheck-io/supercheck.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/platform-features .claude/skills/supercheck-platform-features && rm -rf skills-src

Use ~/.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/

Facts

Skill name
supercheck-platform-features
GitHub stars
215
Token cost
~1.6k tokens
SKILL.md length
716 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Work on Supercheck CLI, AI test repair/providers, realtime SSE, web playground, requirements, status pages, tags, or their APIs and user workflows.

  • DevOps & Cloud work in your project
  • SKILL.md covers CLI, Realtime SSE, Requirements and Tags, plus 4 more sections
  • Calls npm

What it does

Supercheck Platform Features is an agent skill from supercheck-io/supercheck. Work on Supercheck CLI, AI test repair/providers, realtime SSE, web playground, requirements, status pages, tags, or their APIs and user workflows.

Its SKILL.md is about 1.6k 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. 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

  • DevOps & Cloud work in your project

Example prompts

  • “/supercheck-platform-features”

What it can do on your machine

Read from SKILL.md and the folder at commit 0c077d0. 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

    Shell commands in SKILL.md call:

    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    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 Platform Features loads about 1.6k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 716 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 0c077d0, republished under its AGPL-3.0 licence (© supercheck-io). 716 words, ~1,582 tokens.

Download SKILL.mdSave it as .claude/skills/supercheck-platform-features/SKILL.md (or your agent's skills folder).
name
supercheck-platform-features
description
Work on Supercheck CLI, AI test repair/providers, realtime SSE, web playground, requirements, status pages, tags, or their APIs and user workflows.

Supercheck platform features

mermaid
flowchart TD
  USER --> CLI[CLI and monitoring as code]
  USER --> WEB[Web app]
  WEB --> PLAY[Playground]
  WEB --> REQ[Requirements]
  WEB --> STATUS[Status pages]
  WEB --> AI[AI test repair]
  RUN[Executions] --> SSE[Realtime events]
  TAG[Tags] --> REQ
  TAG --> TEST[Test and monitor resources]

CLI

  • Source: cli; package: @supercheck/cli; binary: supercheck; license: AGPL-3.0-only; supported Node runtime begins at 20 unless package metadata changes.
  • Config is declarative monitoring-as-code. Config loading validates schema and rejects embedded live/test/trigger token patterns, including legacy trigger formats.
  • Secret variable values become environment references; file variables are excluded from generated config and use supported multipart/dashboard paths.
  • Authentication storage must use the platform-appropriate protected location and never print tokens.
  • Preserve interactive and non-interactive behavior for login, init, validate, diff, deploy, pull, destroy, doctor, health, jobs, tests, monitors, alerts, runs, tags, variables, notifications, and upgrade commands.
  • AI SRE CLI contracts are incident list/get/timeline/resolve, sre triage/investigate/ask/brief, and read-only service list/get/health/dependencies. Use /api/sre/* routes with unified CLI-token/session authentication; never call browser-only server actions from the CLI.
  • Keep AI SRE tenant scope and RBAC server-side: incident reads need sre_incident:view, resolution needs sre_incident:update, investigations need both incident and investigation investigate, service reads need sre_service:view, and live connector tools additionally need sre_connector:investigate.
  • Treat deep investigation as asynchronous HTTP 202 acceptance. Do not describe it as streaming; stream Copilot chat and evidence briefs only. In JSON mode emit NDJSON for streams, enforce bounded event buffers and idle timeout, support Ctrl-C, and never retry side-effecting POST requests after uncertain completion.
  • Require confirmation and a non-empty audited comment for incident resolution; --force is the automation escape hatch. Do not add runbook execution or private-agent startup until versioned server protocols, authorization, approvals, and operational safety contracts exist.
  • Notification provider JSON uses --payload (--data alias); retain legacy --config compatibility and reject multiple simultaneous payload options.
  • Human output goes to readable terminal streams; --json output must remain machine-parseable without progress/noise on stdout.
  • Subprocess signal termination and command failures return nonzero status. Retry only idempotent network requests.
  • Reusable CI distinguishes a job trigger key from the CLI token required for polling/waiting. Bind workflow inputs through environment variables/quoted arrays, not shell interpolation.
  • Verify with typecheck, lint, all Jest suites, build, and npm pack --dry-run; inspect packaged files and executable entrypoint.

Realtime SSE

  • Authenticate and authorize private subscriptions before opening streams; bind each stream to the permitted tenant/resource/run.
  • Use dedicated blocking Redis connections where QueueEvents is involved.
  • Emit typed, bounded events and heartbeats; preserve event ordering/identity expected by clients.
  • Close subscriptions, timers, listeners, and Redis resources on abort, completion, timeout, navigation, and errors.
  • Reconnection/resubscription must not leak other resources or create duplicate UI state.

Requirements

  • Requirements are traceability and coverage objects. They are never executed and do not own an independent pass/fail state.
  • Coverage is derived from linked test executions and must remain explainable.
  • Requirement, document, test, and tag links are tenant-scoped and protected against cross-project IDOR.
  • Browser requirements follow the recorder-first authoring path where applicable.
  • AI requirement processing uses sanitized bounded content and validated structured output.
Show full SKILL.md (263 more words)Show less

Tags

  • Tags are scoped by organization and project and use consistent normalization/color/uniqueness rules.
  • Resource joins preserve tenant scope. Filtering semantics remain aligned across API, UI, CLI, and reports.
  • Deletion checks all supported relationships and returns conflict when a tag is still in use if that is the current contract.

Status pages

  • Public status endpoints expose an explicit safe field allowlist; admin APIs require RBAC and ownership.
  • Support public/private status, service associations, incidents/maintenance, branding policy, and verified custom domains according to current schema.
  • Custom-domain verification and any outbound DNS/HTTP checks use hardened resolution and SSRF controls.
  • Preserve cloud and self-hosted routing, CNAME guidance, TLS behavior, and branding configuration.

AI test repair and providers

  • Sanitize scripts, errors, logs, and user instructions before model use; defend against prompt injection and secret inclusion.
  • Keep provider credentials server-side and separate provider namespaces from storage credentials (notably Bedrock AWS versus S3/R2).
  • Validate generated code/patch structure and run it only through normal script validation and isolated execution.
  • Apply timeout, cancellation, retry, usage accounting, model allowlisting, and safe error behavior across supported providers.

Web playground

  • Playground execution is untrusted and ephemeral: enforce strict resource/time limits, isolation, rate limits, result bounds, and short retention.
  • It must not bypass normal script validation, SSRF policy, capacity controls, or secret boundaries.
  • Preserve zero-install UX while keeping durable project resources separate from temporary runs.

Verify

  • Test tenant/RBAC denial and malformed input for every feature API.
  • Test SSE disconnect cleanup and cross-tenant isolation.
  • Test CLI compatibility and JSON output as public contracts.
  • Use browser tests for recorder-first, status-domain, and realtime UI behavior that unit tests cannot prove.

© 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/platform-features of supercheck-io/supercheck.

Open the folder on GitHubat commit 0c077d0

Compare with similar skills

Supercheck Platform Features 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.

Supercheck Platform Features compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Supercheck Platform Features this skillsupercheck-io/supercheck215—~1.6kAutomated safety check: PassAGPL-3.0
KubeSphere Multi-Tenant Managementkubesphere/kubesphere17k1 repos~3.1kAutomated safety check: PassCustom licence
Triage Codacynetdata/netdata81k—~2.2kAutomated safety check: NotesGPL-3.0
Azure PricingAzure/Copilot-Studio-and-Azure1103 repos~2.4kAutomated safety check: PassMIT
NGINX Ingress Policy CRD Guidenginx/kubernetes-ingress5.1k—~2kAutomated safety check: PassApache-2.0
ArvanCloud API Operatorerfnzdeh/arvancloud-agent-skill135—~3.9kAutomated safety check: PassMIT

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All 12 skills in this repo
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  • Supercheck Code Review

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    215 GitHub stars~1k tokensUpdated yesterday
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  • Supercheck Data Storage

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  • Supercheck Execution Engine

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  • Supercheck Feature Implementation

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Questions about Supercheck Platform Features

What does Supercheck Platform Features do?

Work on Supercheck CLI, AI test repair/providers, realtime SSE, web playground, requirements, status pages, tags, or their APIs and user workflows. Supercheck Platform Features is an agent skill from supercheck-io/supercheck. Work on Supercheck CLI, AI test repair/providers, realtime SSE, web playground, requirements, status pages, tags, or their APIs and user workflows.

When should I use Supercheck Platform Features?

Supercheck Platform Features fits situations like: devOps & Cloud work in your project.

How do I install Supercheck Platform Features in Claude Code?

Run `npx skills add supercheck-io/supercheck --skill supercheck-platform-features -a claude-code`. Or copy the skill folder (.agents/skills/platform-features in supercheck-io/supercheck) into .claude/skills/supercheck-platform-features in your project. Claude Code loads it when a task matches its description.

How do I install Supercheck Platform Features in Codex?

Run `npx skills add supercheck-io/supercheck --skill supercheck-platform-features -a codex`. Or copy the skill folder (.agents/skills/platform-features in supercheck-io/supercheck) into .agents/skills/supercheck-platform-features in your project. Codex loads it when a task matches its description.

Can I use Supercheck Platform Features 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-platform-features -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-platform-features, .gemini/skills/supercheck-platform-features, .github/skills/supercheck-platform-features and .opencode/skills/supercheck-platform-features in your project.

What does Supercheck Platform Features need to run?

Going by SKILL.md and its folder, Supercheck Platform Features needs the command-line tools its instructions call (npm).

Does Supercheck Platform Features access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Supercheck Platform Features 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 Platform Features use?

Supercheck Platform Features 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 Platform Features use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Supercheck Platform Features?

Skills that share tags, products or a category with Supercheck Platform Features: KubeSphere Multi-Tenant Management (kubesphere/kubesphere, 17k stars), Triage Codacy (netdata/netdata, 81k stars), Azure Pricing (Azure/Copilot-Studio-and-Azure, 110 stars) and NGINX Ingress Policy CRD Guide (nginx/kubernetes-ingress, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Supercheck Platform Features?

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 7, 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.