Skip to content
Back to skills

Openclaw

BSecurity

Deterministic compiled graphs for OpenClaw (importer, runtime, MCP tools)

  • 671 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added May 27, 2026
data-aigogit

Works with

  • cli
  • mcp

Security analysis

B84/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies
  • mediumInstalls packages at runtime which could introduce malicious dependencies

Pro scans all 3 files and shows the line behind each finding

Scanned May 27, 2026

npx -y skills add sbhooley/ainativelang --skill openclaw --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Openclaw?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Openclaw
[![Security: B — Skills Directory](https://www.skillsdirectory.com/api/skills/sbhooley-openclaw/badge)](https://www.skillsdirectory.com/skills/sbhooley-openclaw)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: AINL
description: Deterministic compiled graphs for OpenClaw (importer, runtime, MCP tools)
install: ./install.sh
install_alt: pip install 'ainativelang[mcp]' && ainl install-mcp --host openclaw
commands:
  - ainl import <source> — convert Markdown / ecosystem packs into `.ainl` graphs
  - ainl compile <file.ainl> — compile and validate deterministic graph IR
  - ainl run <file.ainl> — run compiled workflow (when your graph uses the runtime path)
  - ~/.openclaw/bin/ainl-run <file.ainl> — compile-then-run wrapper after install-mcp --host openclaw (add ~/.openclaw/bin to PATH)
tags:
  - ainl
  - graphs
  - mcp
  - openclaw
metadata:
  openclaw:
    kind: skill
    upstream: https://github.com/sbhooley/ainativelang
    package_pypi: ainativelang
    mcp_server_key: ainl
    config_file: ~/.openclaw/openclaw.json
    workspace_default: ~/.openclaw/workspace
    onboarding_note: >-
      OpenClaw expects `npm install` + `openclaw onboard` for the host CLI; this skill adds AINL (pip) + MCP + ainl-run.
    install_channels:
      - ClawHub (when listed)
      - Manual copy to ~/.openclaw/skills or <workspace>/skills
---

# AINL for OpenClaw

**AINL** is an AI-native language that compiles **deterministic graphs**. In [OpenClaw](https://openclaw.ai/), use it to import workflows, compile them, run them, and expose **`ainl-mcp`** tools to the agent via **`~/.openclaw/openclaw.json`**.

**Package:** `ainativelang` **v1.8.0** (this tree; **PyPI** after publish — **`docs/RELEASING.md`**). Optional extras: `[mcp]`, `[solana]`.

## Agent instructions

Follow this skill when the user is on **OpenClaw** (or wants **deterministic `.ainl` graphs** with **import / compile / run / MCP**). Prefer **`./install.sh`** from a checked-out skill folder, or the manual **`pip install 'ainativelang[mcp]' && ainl install-mcp --host openclaw`** path (alias **`ainl install-openclaw`**). OpenClaw does **not** use `zeroclaw skills install <url>` — install via **ClawHub** (if available) or **copy this folder** into **`~/.openclaw/skills`** or **`<workspace>/skills`**. After bootstrap, suggest the **morning briefing** prompt example below when it fits.

## When to use this skill

- The user wants **portable, compiled workflows** (`.ainl`) instead of ad-hoc prompts.
- They mention **import**, **compile**, **morning briefing**, **clawflows**, **ecosystem**, or **deterministic graphs**.
- They need **MCP** access to validation / compile / ecosystem listing (`ainl-mcp`).

## Install (pick one)

1. **From this skill directory (after ClawHub or manual copy):** run `./install.sh`  
   That optionally refreshes the **OpenClaw CLI** via npm, upgrades **`ainl[mcp]`**, and runs **`ainl install-mcp --host openclaw`** (MCP merge into **`openclaw.json`**, **`~/.openclaw/bin/ainl-run`** wrapper).

2. **Manual (no skill checkout):**  
   `pip install 'ainativelang[mcp]' && ainl install-mcp --host openclaw`

## Commands the user cares about

| Command | Purpose |
|--------|---------|
| `ainl import …` | Import Markdown or ecosystem sources into `.ainl` |
| `ainl compile …` | Compile / validate graphs |
| `ainl run …` | Execute a graph via the CLI runtime where applicable |
| `~/.openclaw/bin/ainl-run <file.ainl>` | After `install-mcp --host openclaw`: wrapper that compiles then runs |

## After install — prompt suggestion

Tell the user they can say in OpenClaw:

> Import the morning briefing using AINL.

(They should point the importer at their Markdown or pack; `ainl import` subcommands match their source type.)

## MCP

Configure the host so **`mcp.servers.ainl`** in **`~/.openclaw/openclaw.json`** runs **`ainl-mcp`** as a stdio MCP server (see AINL docs: *OpenClaw integration* / *External orchestration*). **`ainl install-mcp --host openclaw`** merges that entry when missing.

## References

- AINL: [github.com/sbhooley/ainativelang](https://github.com/sbhooley/ainativelang)
- **Gold standard (profiles, caps, cron, bootstrap, verification):** [docs/operations/OPENCLAW_AINL_GOLD_STANDARD.md](https://github.com/sbhooley/ainativelang/blob/main/docs/operations/OPENCLAW_AINL_GOLD_STANDARD.md) — `openclaw_ainl_gold_standard`
- **Host briefing — AINL v1.8.0 (what ships vs what OpenClaw must wire; doc key `openclaw_host_ainl_1_2_8`):** [docs/operations/OPENCLAW_HOST_AINL_1_2_8.md](https://github.com/sbhooley/ainativelang/blob/main/docs/operations/OPENCLAW_HOST_AINL_1_2_8.md) — `openclaw_host_ainl_1_2_8`
- OpenClaw: [openclaw.ai](https://openclaw.ai/)
- Package: **`ainativelang`** **v1.8.0** (this tree; **PyPI** after publish — **`docs/RELEASING.md`**)

Files in this skill

  • README.md5.1 KB
  • SKILL.md4.5 KB
  • install.sh1.2 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.