AINL (AI-Native Language) for Hermes

Trust Score 63/100

Tools and instructions to use AINL (deterministic graph language) with Hermes Agent for importing, compiling, and running repeatable workflows and MCP integrati

triggers:ainlcompile workflowimport .ainlainl-mcphermes agent

GitHub SKILL.md

What it does

Provides instructions and tooling to integrate AINL — an AI-native language for deterministic graphs — with the Hermes Agent. It helps install runtime components, import and compile .ainl workflow files, run validated graphs, and expose an ainl-mcp bridge for MCP servers so agents can execute repeatable, checkable workflows.

When to use it

Use when the user needs portable compiled workflows rather than ad-hoc prompt loops: importing workflow definitions, validating deterministic graphs, wiring MCP servers, or creating a closed learning loop where behavior evolution is serialized back into .ainl. Trigger on mentions of Hermes, MCP, compile, import, ainl, or deterministic workflow.

What's included

Scripts: install.sh and helper bridge scripts (ainl_hermes_bridge.py) in the repo; example .ainl files and example bridges.
References: README and packaging notes; install and pip-based alternatives documented.
Instructions: install paths, pip install alternatives, command examples (ainl import/compile/run), and MCP registration guidance.

Compatible agents

Best with agents that can run shell installs and manage MCP servers (Hermes-compatible agents, or any agent with shell/exec capabilities and MCP support).

Audit Summary

AINL is a deterministic graph language skill for Hermes Agent that imports, compiles, and runs .ainl workflow graphs. The SKILL.md provides install instructions via pip and a shell script, but no scripts were bundled for testing. The skill targets a niche agent framework (Hermes) and requires specific setup that limits broad usability.

Watch Out

Requires Hermes Agent and ainativelang PyPI package
Install script (./install.sh) not included for audit
Targets niche audience (Hermes Agent users only)

Missing Dependencies

ainativelang

Notes

No bundled scripts to audit. SKILL.md is well-structured with proper frontmatter and clear instructions. Install via pip and shell script — the shell script could not be audited since it wasn't included. No hardcoded credentials, destructive commands, or exfiltration risks visible in SKILL.md body. Deducted security for pip install | install.sh pattern (auto-install without verification) and network calls to PyPI without checksum verification.

Information

Repository: ainativelang

Trust Score

Overall63

Security72

Code Quality52

Architecture55

Usefulness40

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