jerrycan: Skill for Claude Code

.claude/skills/jerrycan-backend/SKILL.md

jerrycan-backend is a skill for Claude Code from backant-io/jerrycan. It costs 92 tokens per session (5,530 once invoked), scanned A, original, MIT.

A guided workflow for building REST and CRUD backends with jerrycan. REST is a common way for software to exchange data over HTTP, while CRUD means creating, reading, updating, and deleting records.

In plain words
What is it for?
Use it to plan and build multi-tenant APIs, database models, migrations, handlers, tests, and OpenAPI documentation with jerrycan.
Why use it?
It helps turn a defined data design into a tested backend while checking details such as database structure, API handlers, and tenant separation.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is backant-io/jerrycan's own configuration. It tells Claude Code how to work on jerrycan itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything jerrycan configures →

Reuse

Borrowing it

Nothing to install: this file belongs to backant-io/jerrycan. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/backant-io/jerrycan/main/.claude/skills/jerrycan-backend/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/backant-io/jerrycan

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for jerrycan-backend

README.md
[![agentmods](https://agentmods.dev/badge/skills/backant-io/jerrycan/jerrycan-backend.svg)](https://agentmods.dev/skills/backant-io/jerrycan/jerrycan-backend)
Your own site
<a href="https://agentmods.dev/skills/backant-io/jerrycan/jerrycan-backend"><img src="https://agentmods.dev/badge/skills/backant-io/jerrycan/jerrycan-backend.svg" alt="Measured on agentmods" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00092 $0.05530
Opus 5 $0.00046 $0.02765
Sonnet 5 $0.00018 $0.01106
Haiku 4.5 $0.00009 $0.00553

Measured 8d ago against content hash db0b2d3b0cb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

jerrycan-backend scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.claude/skills/jerrycan-backend/SKILL.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building a backend with jerrycan

jerrycan turns a single declarative design.json into a working, tested, multi-tenant REST backend: it generates the data layer (SeaORM models, dual-dialect migrations, CRUD repos), typed handler stubs, tenant guards + isolation tests, acceptance tests, OpenAPI, and app wiring. You (the agent) author the design and fill in the handler bodies; jerrycan check is the source of truth for "done."

This skill is a guided process. Work through the phases in order. At each decision point, ask the user — do not guess. Checkpoint after every phase so neither of you loses the thread. The docs are complete and accurate (jerrycan docs --list); read the relevant page before each step rather than guessing an API.

The golden rules

  1. Never guess what to build. If you don't know an entity, a field, a status value, an endpoint, a role, or a behavior — ask. One question at a time.
  2. jerrycan check and the validator are the truth. Loop them; never claim green you haven't seen. Never weaken a generated check to pass it. But a few generated tests are un-greenable BY CONSTRUCTION (a happy-path probe that posts no credential to a login/webhook/API-key endpoint). For those, check will not be fully green and that is correct — recognize them (see Phase 5), leave them, and move on; do NOT thrash trying to green them or weaken the handler.
  3. Read the doc page before using a feature. jerrycan docs <page> / jerrycan explain <CODE>. Start every project by reading jerrycan docs designing.
  4. Flag scope walls EARLY (Phase 2). If the user needs something jerrycan can't express, surface it before you design, and decide together how to handle it.
  5. Checkpoint after each phase: restate what's decided and what's next.

Phase 0 — Orient (once)

  • Confirm jerrycan is available: jerrycan --version (build it if you're in the framework repo: cargo build -p jerrycan then use target/debug/jerrycan).
  • jerrycan docs --list to see the page index. Read jerrycan docs designing now — it is the complete design.json reference (every field, type, constraint, and the gotchas). You will author the design from it.
  • Announce: "I'll use the jerrycan-backend process to design and build this step by step, checking with you at each decision."

Read the full file on GitHub · 344 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 344 lines · 92 tokens per session scan A db0b2d3b0cb2

Subscribe to this mod's changes

jerrycan-backend is a skill published in the GitHub repository backant-io/jerrycan (9 stars, last pushed 6d ago), licensed MIT. It adds 92 tokens to every session and 5,530 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

agui-dotnet-protobuf

Use the protobuf wire transport (instead of the default Server-Sent Events) for an AG-UI connection with the AG-UI .NET SDK — a compact binary event stream negotiated via the Accept header. USE FOR: making an AGUIChatClient prefer protobuf by wiring an AGUIEventStreamHandler with ProtobufEventStreamFormatter (then…

ag-ui-protocol/ag-ui · 162 tokens

azure-mgmt-botservice-dotnet

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

microsoft/skills · 78 tokens

fastapi-router-py

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.

microsoft/skills · 46 tokens

migrate-segw-to-rap

Reverse-engineer a SEGW-built OData V2 service (MPC/DPC/MPCEXT/DPCEXT) into a modern RAP V4 service — tables, CDS views (interface + projection), behavior definitions, draft entities, service definition + binding. Use when asked to "migrate this SEGW service to RAP", "convert OData V2 to V4 RAP", "modernize this…

arc-mcp/arc-1 · 106 tokens

telnyx-messaging-hosted-curl

Set up hosted SMS numbers, toll-free verification, and RCS messaging. Use when migrating numbers or enabling rich messaging features. This skill provides REST API (curl) examples.

team-telnyx/ai · 45 tokens