add-engine

A guided workflow for adding a new AccessFlow database or service connector, including its Maven project and required application wiring.

In plain words
What is it for?
Use it when adding an engine with a new database type, connection method, driver, or REST API to AccessFlow.
Why use it?
It reduces the chance of forgetting the many integration points outside the connector code, such as migrations, login details, translations, the user interface, documentation, and testing.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/bablsoft/accessflow/add-engine
Any agent
npx skills add bablsoft/accessflow --skill add-engine
Clone the repo
git clone --depth 1 https://github.com/bablsoft/accessflow

Made for: Claude Code, Codex.

Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,324 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00110 $0.02324
Opus 5 $0.00055 $0.01162
Sonnet 5 $0.00022 $0.00465
Haiku 4.5 $0.00011 $0.00232

Measured yesterday against content hash a44ba32b159c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

add-engine 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 yesterday.

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.

.claude/skills/add-engine/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

add-engine

Adding an engine is ~12 areas of wiring, most of it outside engines/. The plugin itself is the easy half; the half that gets forgotten is DbType → migration → credential gates → i18n ×7 → frontend → docs → website → CI matrix.

Read first, in order: docs/15-engine-sdk.md (authoritative — the SPI surface, QueryEngineContext semantics, and the checklist at its end), .claude/patterns/engine-plugin.md, and .claude/patterns/engine-fanout.md.

Inputs

Ask for anything not supplied — do not guess:

  • engine id (lowercase; it is simultaneously the folder name, the connector id, and the engineId() return value — all automation derives from it)
  • display name, vendor, documentation URL
  • DbType value (SCREAMING_SNAKE) and categoryWAREHOUSE | DOCUMENT | KEY_VALUE | WIDE_COLUMN | SEARCH | GRAPH
  • driver coordinates, or "REST API, no driver" (the engines/databricks/ shape)
  • default port and default SSL mode
  • connection model — host/port/db/user/pass, or cloud credentials (region + keys, service account JSON, workspace host + token)
  • a Testcontainers image, or "none" (the Snowflake precedent: unit + mocked-facade tests only)

Pick the closest existing engine and follow it

Shape Follow
SQL dialect over JDBC engines/snowflake/
SQL dialect over REST, no vendor driver at all engines/databricks/
Cloud credentials instead of host/port engines/dynamodb/
Document engines/mongodb/
Key-value engines/redis/
Graph engines/neo4j/

Workflow

1. Build the host jar the plugin compiles against

mvn -f backend/pom.xml install -DskipTests

2. Scaffold engines/<id>/pom.xml

Non-negotiables (copy from the reference engine): its own <version> starting at 1.0.0; maven.compiler.release 25; a fixed project.build.outputTimestamp; accessflow and slf4j-api at provided scope; shade with shadedArtifactAttached=true, classifier all, and every third-party library except the vendor driver relocated under com.bablsoft.accessflow.engine.<id>.shaded.*; surefire + failsafe wired.

Read the full file on GitHub · 178 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. yesterday First seen · 178 lines · 110 tokens per session scan A a44ba32b159c

Subscribe to this mod's changes

add-engine is a skill published in the GitHub repository bablsoft/accessflow (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 110 tokens to every session and 2,324 once invoked, about $0.0006 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.

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