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.
npx skills add sbhooley/ainativelang --skill hermesgit clone --depth 1 https://github.com/sbhooley/ainativelangWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sbhooley/ainativelang/hermes)<a href="https://agentmods.dev/skills/sbhooley/ainativelang/hermes"><img src="https://agentmods.dev/badge/skills/sbhooley/ainativelang/hermes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sbhooley/ainativelang/hermes"><img src="https://agentmods.dev/badge/skills/sbhooley/ainativelang/hermes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.00827 |
| Opus 5.5 | $0.00010 | $0.00331 |
| Sonnet 5.5 | $0.00005 | $0.00165 |
| Haiku 4.5 | $0.00002 | $0.00083 |
Grade A, and why
AINL 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 1mo ago.
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.
What it actually says
AINL for Hermes Agent
AINL is an AI-native language that compiles deterministic graphs. In Hermes Agent, use it to import workflows, compile them, run them, and expose ainl-mcp tools to the agent for safe, repeatable execution.
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 Hermes Agent (or wants a closed learning loop on top of deterministic .ainl graphs). Prefer ./install.sh from a checked-out skill folder, or the manual path:
pip install 'ainativelang[mcp]' && ainl install-mcp --host hermes
After bootstrap, suggest the prompt below when it fits.
When to use this skill
- The user wants portable, compiled workflows (
.ainl) instead of ad-hoc prompt loops. - They mention import, compile, skills, learning loop, or MCP.
- They want Hermes to evolve behavior while keeping a strict, checkable graph source of truth.
Install (pick one)
-
From this skill directory: run
./install.sh
That upgradesainl[mcp](if needed), installs a skill folder to~/.hermes/skills/ainl/, and wires MCP viaainl install-mcp --host hermes. -
Manual:
pip install 'ainativelang[mcp]' && ainl install-mcp --host hermes
After install — prompt suggestion
Tell the user they can say in Hermes:
Import the morning briefing using AINL.
MCP
Hermes reads MCP config from ~/.hermes/config.yaml under mcp_servers. The host should run ainl-mcp as a stdio MCP server. ainl install-mcp --host hermes merges that entry when missing.
Bridge (optional)
This pack includes ainl_hermes_bridge.py as a lightweight utility for:
- writing AINL trajectory/audit tapes into Hermes-friendly local memory files
- exporting Hermes-evolved behaviors back into
.ainl(so you can re-runainl check --strict)
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- a2a.example.json 68 B
- ainl_hermes_bridge.py 2.9 KB runs code
- armaraos-a2a-bridge/armaraos_a2a_bridge.py 12 KB runs code
- armaraos-a2a-bridge/hermes_chat_delegate.py 1.9 KB runs code
- armaraos-a2a-bridge/README.md 2.4 KB
- armaraos-a2a-bridge/smoke_test_a2a_bridge.sh 2.1 KB runs code
- example_ainl_to_hermes_skill.ainl 297 B
- install_armaraos_a2a_bridge.sh 1.9 KB runs code
- install.sh 2.2 KB runs code
- README.md 2.5 KB
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.
- 1mo ago First seen · 74 lines · 24 tokens per session scan A 355443111336
AINL is a skill published in the GitHub repository sbhooley/ainativelang (639 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 827 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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