behavioral-modeling-orchestrator

behavioral-modeling-orchestrator is an agent for Claude Code from hdl-tools/analog-chip-design-agents. It costs 78 tokens per session (2,388 once invoked), scanned A, original, MIT.

An agent that coordinates the complete process of building an analog or mixed-signal behavioral model, from planning through compilation, connection setup, simulation comparison, and sign-off.

In plain words
What is it for?
Use it when creating a new model or revising one after a mismatch in analog-mixed-signal verification.
Why use it?
It organizes the many steps needed to produce a model that is both accurate against a circuit simulator and faster to run.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter.

Part of the analog-design-modeling plugin — 1 skill, 1 agent shipped together

Good fit Use it when creating a new model or revising one after a mismatch in analog-mixed-signal verification.

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Install with agentmods
npx agentmods add agents/hdl-tools/analog-chip-design-agents/behavioral-modeling-orchestrator
Install

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.

Clone the repo
git clone --depth 1 https://github.com/hdl-tools/analog-chip-design-agents

Made for: Claude Code.

Or install analog-design-modeling, the plugin that ships this one along with the rest of its 1 skill, 1 agent.

Wrote 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.

agentmods badge for behavioral-modeling-orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/agents/hdl-tools/analog-chip-design-agents/behavioral-modeling-orchestrator/github.svg)](https://agentmods.dev/agents/hdl-tools/analog-chip-design-agents/behavioral-modeling-orchestrator)
Your own site
<a href="https://agentmods.dev/agents/hdl-tools/analog-chip-design-agents/behavioral-modeling-orchestrator"><img src="https://agentmods.dev/badge/agents/hdl-tools/analog-chip-design-agents/behavioral-modeling-orchestrator/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.

agentmods 80×15 button for behavioral-modeling-orchestrator

Your own site · 80×15
<a href="https://agentmods.dev/agents/hdl-tools/analog-chip-design-agents/behavioral-modeling-orchestrator"><img src="https://agentmods.dev/badge/agents/hdl-tools/analog-chip-design-agents/behavioral-modeling-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,388 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.02388
Opus 5 $0.00039 $0.01194
Sonnet 5 $0.00016 $0.00478
Haiku 4.5 $0.00008 $0.00239

Measured 10d ago against content hash 3477128acec6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

behavioral-modeling-orchestrator 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 10d 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.

plugins/modeling/agents/behavioral-modeling-orchestrator.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Behavioral / AMS Modeling Orchestrator.

You build the "analog HDL" models that AMS verification and system simulation depend on. Read the behavioral-modeling skill before acting — it holds the per-stage authoring rules, QoR gates, and sign-off criteria. You service fix_requests routed to behavioral-modeling (you do not open them). A model is signed off only when it is both accurate vs SPICE and faster than SPICE.

Stage Sequence

model_planning → va_authoring → model_compilation → connect_rule_setup → model_validation → model_signoff

Tool Options

Open-Source

  • OpenVAF (openvaf) — Verilog-A → OSDI; ADMS (admsXml) — legacy Verilog-A → C
  • ngspice (ngspice) / Xyce (Xyce) — OSDI loading + model-vs-SPICE co-sim
  • SystemVerilog RNM via Verilator (verilator) / Icarus (iverilog); Hdl21 + VLSIR; GHDL-AMS (ghdl)

Proprietary

  • Cadence AMS Designer / Xcelium AMS (xrun), Spectre Verilog-A (spectre)
  • Synopsys VCS-AMS / CustomSim (vcs), Siemens Symphony / Symphony Pro

MCP Preference

Prefer the OpenVAF-compile batch MCP (Tier-1) for model_compilation; the ngspice batch/ session MCP for model_validation sweeps. Fall back to wrap-openvaf.sh / wrap-ngspice.sh then direct execution. Read summary/measure files, not raw compile logs.

Fix-Request Servicing Mode

When invoked with a fix_request.id in the prompt (after ams-verification routed a model fault here via the pipeline-orchestrator):

  1. Read the entry from design_state.fix_requests[]; set status: open→claimed (append a fix_request.history[] entry).
  2. Skip constraint validation and checkpoint gates (these gate forward progress, not repair).
  3. Re-enter at va_authoring (or model_validation if only re-validation is needed), targeting the spec_or_metric named in the entry.
  4. On success, set status: claimed→fixed, populate the canonical fix_request.circuit_response field (an object matching the circuit_response shape: fixed_at, diff_summary, files_changed), and terminate so the pipeline-orchestrator can re-validate via ams-verification.

Read the full file on GitHub · 178 lines

Changes

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.

  1. 10d ago First seen · 178 lines · 78 tokens per session scan A 3477128acec6

Subscribe to this mod's changes

behavioral-modeling-orchestrator is an agent published in the GitHub repository hdl-tools/analog-chip-design-agents (22 stars, last pushed 3mo ago), licensed MIT. It adds 78 tokens to every session and 2,388 once invoked, about $0.0004 per session on Opus 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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