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Connect Tool

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ericrisco
connect-tool

Use when the user names a specific tool to connect to the agent (an ERP, accounting or desktop program, CRM, WhatsApp, a spreadsheet, a database): research its real docs, choose the safest route, build `01-TOOLS/<TOOL>/` with a test that proves it, and guide the user. NOT a full typed API client (that is `api-connector-builder`), NOT a whole-workspace tooling scan (that is `harness`).

Overview

Publisherericrisco
Repositoryrsc-harness
Skill nameconnect-tool
Stars
239
Forks
24
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ericrisco on GitHub. Read the source before you install it.

Installation

Install the Connect Tool AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ericrisco/rsc-harness/tree/main/skills/connect-tool
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ericrisco/rsc-harness.git /tmp/rsc-harness
mkdir -p .claude/skills
cp -r /tmp/rsc-harness/skills/connect-tool .claude/skills/connect-tool
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Connect Tool in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Connect Tool on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Connect Tool is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Connect a tool: research it, pick the safe route, prove it works

The user said "connect my Holded", "can the agent read our Sage?", "hook up WhatsApp". This skill turns that sentence into a working, documented connection in 01-TOOLS/<TOOL>/, for any tool: the ones with a modern API, and the program installed on an office PC fifteen years ago.

rsc ships no ready-made connections. Every project builds only the ones its user asks for, so the method matters more than any list of vendors: find the truth, take the least dangerous route, prove it, leave it written down.

Before anything: what does the user want to do?

Ask only what the docs cannot answer, in plain words (technical_level in 02-DOCS/wiki/harness/user-profile.md sets the register):

  • Which product, exactly? Name, edition, version. "Sage" is five different products.
  • Where does it run? In the cloud (a website they log into) or installed on a computer or server in the office.
  • Read or write? Reports and questions need reading. Entering invoices needs writing, and writing is a separate, explicit decision (below).

1. Research: the docs decide, never memory

Look it up every time, even for a tool you "know": plans, endpoints and MCP servers change monthly. In this order, stopping when the route is clear:

  1. The vendor's own developer docs: search <product> API, <product> developers, <product> MCP. Prefer the vendor domain over blog posts.
  2. The official MCP registry (registry.modelcontextprotocol.io) and the vendor's docs for an official MCP server. An official, read-only MCP is often the fastest safe route.
  3. Library docs through Context7 when the route is an SDK.
  4. Export and import features in the product's user manual: scheduled CSV/Excel exports, FTP drops, official import file formats.
  5. Where the data lives for installed software: the vendor's installation guide, the database engine it installs (often SQL Server Express, sometimes Access, Firebird or MySQL).

Write every source into the tool's README.md with its URL and the date you read it. If you find nothing reliable, say so and stop at a question for the vendor; an invented endpoint costs the user a week.

2. Choose the route: the least dangerous one that does the job

RouteUse whenWatch for
Official MCP serverThe vendor publishes oneStart it read-only if it offers the mode
Official APIDocumented REST/GraphQL with scoped tokensRequest read scopes only; full client work goes to api-connector-builder
Built-in integration (OAuth app, Zapier/Make/n8n connector)No API for you, but a supported integration existsThe integration's permissions, not yours, are the ceiling
Scheduled exportThe program can export CSV/Excel or drop files to a folderFreshness is the export schedule, say so
Read-only copy of the databaseInstalled software with no API and no exportSee Desktop programs below; never the live database
Screen automation (RPA)Nothing else existsLast resort: fragile and breaks on every update

Connect, or migrate? If every route above is poor and the program is near end-of-life, or new legal requirements (Spanish e-invoicing, Veri*factu) will force a change anyway, say so plainly and hand the decision to automation-strategy. Check the current dates at the tax authority's site: they have moved before.

3. Least privilege, always

  • Read first. Every connection starts read-only, even when the goal is writing.
  • Writing is explicit. Only when the user asks for it, only through the vendor's API or its official import format, and only for the objects named.
  • Never write directly into a desktop program's database. It bypasses the program's own rules, voids support contracts, and can corrupt accounting. Generate the program's official import file instead, and a person imports it.
  • Secrets stay in .env (gitignored, chmod 600). Never in the repo, never in 02-DOCS.

4. Build it in 01-TOOLS/<TOOL>/

Copy 01-TOOLS/_TEMPLATE/ to 01-TOOLS/<TOOL>/ (uppercase id, e.g. HOLDED, SAGE_50) and fill every file: .env.example with the real variable names, CREDENTIALS.md with where each one is generated and how to rotate it, README.md with the route, the sources and their dates, and the permissions granted. Add a row to 01-TOOLS/README.md.

test_connection is the proof, not a formality. It makes one cheap read and prints OK — …. When the connection is meant to be read-only, it must also prove that writing fails, because a read-only promise nobody tested is not one:

bash
# PostgreSQL: a write must fail with a PERMISSION error. Any other error (wrong host, bad password)
# proves nothing, so it fails the test too instead of passing as "refused".
out=$(psql "$DATABASE_URL" -v ON_ERROR_STOP=1 -c "BEGIN; CREATE TABLE rsc_write_probe(i int); ROLLBACK;" 2>&1) \
  && { echo "FAIL — this user can write" >&2; exit 1; }
grep -qiE "permission denied|read-only transaction" <<<"$out" \
  && echo "OK — writes refused" || { echo "FAIL — unexpected error: $out" >&2; exit 1; }
bash
# SQL Server: insert into one of the views you exposed; only error 229 (permission denied) passes.
out=$(sqlcmd -S "$MSSQL_HOST" -U "$MSSQL_USER" -P "$MSSQL_PASSWORD" -d "$MSSQL_DB" -b \
  -Q "BEGIN TRAN; INSERT INTO rsc_views.customers DEFAULT VALUES; ROLLBACK;" 2>&1) \
  && { echo "FAIL — this user can write" >&2; exit 1; }
grep -q "Msg 229" <<<"$out" && echo "OK — writes refused" || { echo "FAIL — unexpected error: $out" >&2; exit 1; }

For an API, prove it through the token itself: list its scopes from the vendor's token endpoint or dashboard and fail when a write scope is present. Never fire a real write to "see what happens".

Desktop programs and old ERPs

Most small-business software was never meant to be connected. The safe pattern:

  1. Find the data. The vendor's install guide, the Windows ODBC data sources, or the SQL Server instance the program installed (often .\SQLEXPRESS). Access files are .mdb/.accdb.

  2. Work on a copy, never the live database. A nightly copy, off business hours. SQL Server Express has no Agent: schedule sqlcmd with a BACKUP DATABASE from the Windows Task Scheduler and restore it where the agent reads. Access: copy the file, then convert or read it with mdbtools (mdb-tables, mdb-export).

  3. A dedicated reader. A login that can only SELECT, ideally only on a schema of views that expose what is needed:

    sql
    CREATE LOGIN ia_reader WITH PASSWORD = '<from .env>';
    CREATE USER ia_reader FOR LOGIN ia_reader;
    GRANT SELECT ON SCHEMA::rsc_views TO ia_reader;
    ALTER ROLE db_denydatawriter ADD MEMBER ia_reader;
  4. Reach it privately. Same network, or a private mesh (the TAILSCALE tool). Never open the database port to the internet.

  5. Check the support terms. Many vendors restrict direct database access. If they do, use their export or their API instead.

5. Guide the user, in their words

Say what you found, which route you chose and why, and what happens next, in short sentences.

6. Leave it written down

Record the connection in 02-DOCS following the harness wiki protocol: what is connected, the route, the permissions, who owns the credentials, and the date. The next session, or a colleague, reads it instead of starting over.

Anti-patterns

If you are about to…Do instead
Write the endpoint from memoryRead the vendor docs now and cite them with a date
Connect with an admin account "to get started"Create the read-only user first; it costs ten minutes
Write into the program's database because it is quickerGenerate its official import file
Point the agent at the live databaseRead a nightly copy
Call the connection done because it authenticatesRun the test; for read-only, watch the write fail
Promise the vendor has an API or MCPSay what you found, with links, or that you found nothing
Build the whole typed client hereHand it to api-connector-builder once the route is chosen

See also

  • ../harness/SKILL.md: owns 01-TOOLS/ and 02-DOCS/ as a whole.
  • ../api-connector-builder/SKILL.md: auth, pagination and retries once an API is the route.
  • ../automation-strategy/SKILL.md: whether to connect, migrate or automate at all.
  • ../automation-flows/SKILL.md: chaining the connected tool into a workflow.

Orientación (siempre)

Habla con la voz de orient: frases cortas, una idea por frase, y cada respuesta se entiende sola. Registro técnico o con analogías según technical_level en 02-DOCS/wiki/harness/user-profile.md. Cierra cada turno con el bloque-brújula (📍 dónde estás · ➡️ siguiente, terminando en pregunta; ✅ y 🧭 cuando hay algo hecho o decidido). Nunca termines en seco. Protocolo completo: skill orient → skills/orient/references/orientation-contract.md. (Defiere a suggest el "¿instalo la skill que falta?".)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Connect Tool AI skill do?

Use when the user names a specific tool to connect to the agent (an ERP, accounting or desktop program, CRM, WhatsApp, a spreadsheet, a database): research its real docs, choose the safest route, build `01-TOOLS/<TOOL>/` with a test that proves it, and guide the user. NOT a full typed API client (that is `api-connector-builder`), NOT a whole-workspace tooling scan (that is `harness`).

Why use Connect Tool on TypingMind?

Because you install it once and use it with any model. Connect Tool is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Connect Tool in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericrisco/rsc-harness/tree/main/skills/connect-tool. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Connect Tool?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Connect Tool?

As many as you like. As long as a model supports skills, you can use Connect Tool with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Connect Tool AI skill free?

Yes. It is published on GitHub by ericrisco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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