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Agent skill

Automationbench Eval

by bionic-gpt in bionic-gpt/bionic-gpt

Load the repository's AutomationBench OpenAPI catalogue and run evaluations against the local simulator.

Apache-2.0Auto-check passedBackend & APIs

Install Automationbench Eval

skills CLI
$ npx skills add bionic-gpt/bionic-gpt --skill automationbench-eval -a claude-code

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

GitHub CLI
$ gh skill install bionic-gpt/bionic-gpt automationbench-eval --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/bionic-gpt/bionic-gpt.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/automationbench-eval .claude/skills/automationbench-eval && 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
automationbench-eval
GitHub stars
2.4k
Token cost
~619 tokens
SKILL.md length
260 words
Files
2 (incl. scripts)
Skills in repo
21
Repo updated
First seen
Licence
Apache-2.0

At a glance

Load the repository's AutomationBench OpenAPI catalogue and run evaluations against the local simulator.

  • Tasks that involve OpenAPI specifications
  • SKILL.md covers Source of truth, Load the global spec catalogue and Simulator
  • Runs Shell scripts from its folder; calls bash and curl

What it does

Automationbench Eval is an agent skill from bionic-gpt/bionic-gpt. Load the repository's AutomationBench OpenAPI catalogue and run evaluations against the local simulator.

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/load-specs.sh`).

It sits in Backend & APIs, covering OpenAPI specifications. It works with OpenAPI. The repository describes itself as: Bionic is sovereign Agentic AI for the enterprise — Runs on-premise and can securely work with your sensitive data and systems. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve OpenAPI specifications

Example prompts

  • “/automationbench-eval”

Requirements

  • A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit c155c00. 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

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash
    • curl

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

  • Network

    No URLs in SKILL.md. Its commands use curl, 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

Automationbench Eval loads about 619 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 260 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~619

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); the scripts in this folder are not scanned.

SKILL.md

The full file from bionic-gpt/bionic-gpt at commit c155c00, republished under its Apache-2.0 licence (© bionic-gpt). 260 words, ~619 tokens.

Download SKILL.mdSave it as .claude/skills/automationbench-eval/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
automationbench-eval
description
Load the repository's AutomationBench OpenAPI catalogue and run evaluations against the local simulator.

AutomationBench evaluation

Use this skill when the user asks to load AutomationBench specs or run an AutomationBench evaluation.

Source of truth

The OpenAPI source files are committed under:

text
crates/integration-simulator/specs/*.openapi.json

The loader normalizes every imported spec to the local simulator at http://integration-simulator:8080/api/<service>. It also removes OpenAPI security declarations, security schemes, and explicit access-token parameters because the simulator is authentication-free. Business parameters are kept.

Load the global spec catalogue

Run the repository loader from the repository root:

bash
bash .agents/skills/automationbench-eval/scripts/load-specs.sh

The script uses DATABASE_URL, falling back to APP_DATABASE_URL. A custom spec directory can be supplied as its first argument:

bash
bash .agents/skills/automationbench-eval/scripts/load-specs.sh \
  crates/integration-simulator/specs

It upserts global rows in integrations.openapi_specs using each file's filename, info.title, info.description, and info.x-logo.url. Rows are active Application specs and are deliberately non-system so they appear in the existing integration selection screen. The loader does not need a team ID or user ID, does not create team integrations, and does not create API-key or OAuth connections.

The loader is safe to rerun. It updates only rows with matching AutomationBench slugs and does not delete unrelated specs or integrations.

After loading, open the Bionic integrations selection screen and select only the services required for the evaluation. The selection screen creates the team-specific integrations using the already-loaded global definitions.

Simulator

The AutomationBench API is provided by the integration-simulator service by the local Stack dev profile. Bionic reaches it inside the cluster at http://integration-simulator:8080. It has one shared deterministic world.

Reset the world before each evaluation:

bash
curl -X POST http://localhost:8880/benchmark/reset \
  -H 'Content-Type: application/json' \
  -d '{"task":"simple.email_sf_contact_phone_update"}'

Use the host port exposed by the local deployment when it differs from 8880. The reset replaces the shared simulator world for all callers.

© bionic-gpt, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in .agents/skills/automationbench-eval of bionic-gpt/bionic-gpt.

  • SKILL.md
  • scripts/load-specs.sh

Open the folder on GitHubat commit c155c00

Compare with similar skills

Automationbench Eval 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.

Automationbench Eval compared with similar skills
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Automationbench Eval this skillbionic-gpt/bionic-gpt2.4k—~619Automated safety check: PassApache-2.0
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Step Partsearthtojake/text-to-cad18k1 repos~1.5kAutomated safety check: PassMIT
API DesignerJeffallan/claude-skills12k2 repos~2kAutomated safety check: PassMIT
OpenAPI to MCP Servermcp-use/mcp-use11k—~5.2kAutomated safety check: PassApache-2.0
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT

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Works with

Categories

Questions about Automationbench Eval

What does Automationbench Eval do?

Load the repository's AutomationBench OpenAPI catalogue and run evaluations against the local simulator. Automationbench Eval is an agent skill from bionic-gpt/bionic-gpt. Load the repository's AutomationBench OpenAPI catalogue and run evaluations against the local simulator.

When should I use Automationbench Eval?

Automationbench Eval fits situations like: tasks that involve OpenAPI specifications.

How do I install Automationbench Eval in Claude Code?

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

How do I install Automationbench Eval in Codex?

Run `npx skills add bionic-gpt/bionic-gpt --skill automationbench-eval -a codex`. Or copy the skill folder (.agents/skills/automationbench-eval in bionic-gpt/bionic-gpt) into .agents/skills/automationbench-eval in your project. Codex loads it when a task matches its description.

Can I use Automationbench Eval 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 bionic-gpt/bionic-gpt --skill automationbench-eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/automationbench-eval, .gemini/skills/automationbench-eval, .github/skills/automationbench-eval and .opencode/skills/automationbench-eval in your project.

What does Automationbench Eval need to run?

Going by SKILL.md and its folder, Automationbench Eval needs a shell for the scripts in its folder and the command-line tools its instructions call (bash and curl). Our summary lists: A Bash shell.

Does Automationbench Eval access the network?

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

Is Automationbench Eval 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Automationbench Eval use?

Automationbench Eval is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Automationbench Eval use?

About 619 tokens (SKILL.md is roughly 2.5k 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 Automationbench Eval?

Skills that share tags, products or a category with Automationbench Eval: ToolJet Marketplace Plugin Builder (ToolJet/ToolJet, 41k stars), Step Parts (earthtojake/text-to-cad, 18k stars), API Designer (Jeffallan/claude-skills, 12k stars) and OpenAPI to MCP Server (mcp-use/mcp-use, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Automationbench Eval?

bionic-gpt (a GitHub organization) maintains it in bionic-gpt/bionic-gpt, which has 2,383 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 7, 2026.

Source: bionic-gpt/bionic-gpt on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.