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Agent skill

Supercheck Data Storage

by supercheck-io in supercheck-io/supercheck

Work on Supercheck PostgreSQL data, S3 or MinIO artifacts, signed URLs and asset proxying, retention cleanup, dashboard/report queries, exports, or audit logging.

AGPL-3.0Auto-check passedBackend & APIs

Install Supercheck Data Storage

skills CLI
$ npx skills add supercheck-io/supercheck --skill supercheck-data-storage -a claude-code

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

GitHub CLI
$ gh skill install supercheck-io/supercheck supercheck-data-storage --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/data-storage .claude/skills/supercheck-data-storage && 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-data-storage
GitHub stars
215
Token cost
~942 tokens
SKILL.md length
393 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Work on Supercheck PostgreSQL data, S3 or MinIO artifacts, signed URLs and asset proxying, retention cleanup, dashboard/report queries, exports, or audit logging.

  • Tasks that involve File uploads and storage
  • SKILL.md covers PostgreSQL and object storage, Lifecycle and retention, Dashboards, reports, and exports and Audit logging, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Supercheck Data Storage is an agent skill from supercheck-io/supercheck. Work on Supercheck PostgreSQL data, S3 or MinIO artifacts, signed URLs and asset proxying, retention cleanup, dashboard/report queries, exports, or audit logging.

Its SKILL.md is about 940 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 Backend & APIs, covering File uploads and storage. It works with PostgreSQL. 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 File uploads and storage

Example prompts

  • “/supercheck-data-storage”

What it can do on your machine

Read from SKILL.md and the folder at commit 155da39. 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 Data Storage loads about 942 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 393 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~942

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 155da39, republished under its AGPL-3.0 licence (© supercheck-io). 393 words, ~942 tokens.

Download SKILL.mdSave it as .claude/skills/supercheck-data-storage/SKILL.md (or your agent's skills folder).
name
supercheck-data-storage
description
Work on Supercheck PostgreSQL data, S3 or MinIO artifacts, signed URLs and asset proxying, retention cleanup, dashboard/report queries, exports, or audit logging.

Supercheck data storage and lifecycle

mermaid
flowchart TD
  WORKER --> DB[(PostgreSQL metadata)]
  WORKER --> OBJ[(S3-compatible artifacts)]
  API --> ACCESS[Authorized signed URL or asset proxy]
  CLEAN[Lifecycle scheduler] --> DB
  CLEAN --> OBJ
  MUT[Security-sensitive mutation] --> AUDIT[Audit trail]

PostgreSQL and object storage

  • PostgreSQL holds relational state and artifact metadata; S3/MinIO-compatible stores hold large reports, traces, screenshots, files, and exports.
  • Generate object keys server-side from trusted tenant/resource identifiers. Never accept arbitrary bucket/key pairs or filesystem paths from clients.
  • Authorize ownership before issuing short-lived signed URLs or proxying an object.
  • Asset proxying allows only configured storage origins/keys and must not become a generic server-side fetch endpoint.
  • Uploads enforce object class, MIME/type expectations, byte limits, timeouts, and bounded streaming. Avoid buffering untrusted large objects in app memory.
  • Preserve compatibility across cloud S3/R2-style services and self-hosted MinIO where shared adapters claim support.

Lifecycle and retention

  • Retention varies by artifact/data class, plan, and legal/security purpose. Read current constants/config before changing a duration.
  • Cleanup work is bounded, paginated, idempotent, observable, and safe under concurrent scheduler instances.
  • Coordinate metadata/object deletion so retries recover from partial failure without deleting another tenant’s object or leaving permanent billable orphans.
  • Prefer mark/select/delete phases or other recoverable sequencing for large cleanup sets.
  • Infrastructure state, backups, billing records, and security/audit history are not ordinary test artifacts and never inherit short playground/run retention.
  • Changing product retention requires user documentation, entitlement/billing consideration, migration/backfill behavior, and provider lifecycle alignment.
Show full SKILL.md (193 more words)Show less

Dashboards, reports, and exports

  • Every aggregation is tenant-scoped and uses explicit time range, time zone, status definitions, and units.
  • Avoid N+1 and unbounded scans. Use suitable composite indexes and inspect plans for high-volume queries.
  • Keep aggregate semantics aligned with raw execution/monitor state so dashboards, exports, and APIs report the same answer.
  • Export generation is permission-checked, bounded, escaped against spreadsheet/formula injection where relevant, and stored/downloaded through scoped paths.
  • Cache keys include all tenant/filter dimensions and invalidate when underlying state changes.

Audit logging

  • Audit records include actor or credential identity, organization/project scope, action, resource type/ID, timestamp, outcome, and safe metadata.
  • Log sensitive mutations and denials according to policy without recording secrets, tokens, full request payloads, provider credentials, or decrypted variables.
  • Audit failure behavior must be deliberate: critical security actions should not silently succeed without required audit evidence.
  • Audit views/exports require elevated permission, pagination, tenant scope, and appropriate retention.

Verify

  • Test cross-tenant object access, forged keys, expired URLs, unsupported types, oversized streams, missing objects, and partial cleanup failures.
  • Test cleanup idempotency/concurrency and DB/object reconciliation.
  • Compare report queries with representative raw records and inspect query plans.
  • Verify audit metadata and redaction for success, denial, and failure paths.

© 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/data-storage of supercheck-io/supercheck.

Open the folder on GitHubat commit 155da39

Compare with similar skills

Supercheck Data Storage 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 Data Storage compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Supercheck Data Storage this skillsupercheck-io/supercheck215—~942Automated safety check: PassAGPL-3.0
Create Environmentgodatadriven/whirl205—~1.9kAutomated safety check: PassApache-2.0
Nuxt Serversecondsky/claude-skills227—~3.2kAutomated safety check: PassMIT
Stripe Projectsfossasia/eventyay1.7k5 repos~2kAutomated safety check: NotesApache-2.0
Neonxai-org/plugin-marketplace285—~3.9kAutomated safety check: NotesNone
Test Convt Serveropencoredev/convt258—~1.6kAutomated safety check: PassAGPL-3.0

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More from supercheck-io/supercheck

All 12 skills in this repo

  • Supercheck Security Auth

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    215 GitHub stars~1k tokensUpdated today
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  • Supercheck Execution Engine

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    Work on Supercheck BullMQ queues, schedulers, capacity management, Playwright or k6 execution, monitors, dynamic locations, cancellation, Redis, Kubernetes Jobs, gVisor, or app-worker execution…

    215 GitHub stars~1.2k tokensUpdated today
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  • Supercheck Feature Implementation

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  • Supercheck Infrastructure Deployment

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Works with

Categories

Questions about Supercheck Data Storage

What does Supercheck Data Storage do?

Work on Supercheck PostgreSQL data, S3 or MinIO artifacts, signed URLs and asset proxying, retention cleanup, dashboard/report queries, exports, or audit logging. Supercheck Data Storage is an agent skill from supercheck-io/supercheck. Work on Supercheck PostgreSQL data, S3 or MinIO artifacts, signed URLs and asset proxying, retention cleanup, dashboard/report queries, exports, or audit logging.

When should I use Supercheck Data Storage?

Supercheck Data Storage fits situations like: tasks that involve File uploads and storage.

How do I install Supercheck Data Storage in Claude Code?

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

How do I install Supercheck Data Storage in Codex?

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

Can I use Supercheck Data Storage 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-data-storage -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-data-storage, .gemini/skills/supercheck-data-storage, .github/skills/supercheck-data-storage and .opencode/skills/supercheck-data-storage in your project.

What does Supercheck Data Storage need to run?

SKILL.md names no scripts, command-line tools or credentials: Supercheck Data Storage is instructions for the agent only.

Does Supercheck Data Storage 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 Data Storage 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 Data Storage use?

Supercheck Data Storage 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 Data Storage use?

About 942 tokens (SKILL.md is roughly 3.8k 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 Data Storage?

Skills that share tags, products or a category with Supercheck Data Storage: Create Environment (godatadriven/whirl, 205 stars), Nuxt Server (secondsky/claude-skills, 227 stars), Stripe Projects (fossasia/eventyay, 1.7k stars) and Neon (xai-org/plugin-marketplace, 285 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Supercheck Data Storage?

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.