veripower
与宿主无关的 IC 设计工作流，配备原生编码代理适配器
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:chipweaver/veripower#e5007068a1ff8ad16cfb59acce83315766f23d78Veripower 以 veripower 发布，当前版本为 0.2.9。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
VeriPower is an open-source plugin for chip front-end design and verification. Working from your specification, a coding agent develops RTL and a UVM testbench, runs EDA tools, and revises the design based on their results. VeriPower manages the work across stages, keeping track of what has passed and what needs to run again.
The shared workflow is host-neutral, with native adapters for Claude Code, opencode, DeepSeek Harness, and Codex.
Each stage has a skill containing instructions and supporting scripts. The agent follows the skill to carry out the work, while a workflow engine records the result and selects what should run next. When a check fails, the agent investigates the cause and the engine schedules the repair.
VeriPower plugin, coding agent, EDA tools, and engineer interactions
Each run records the versions of its input and output files. The engine compares these with the current files to determine which results still apply and which checks need to be repeated. An RTL edit requires simulation, lint/CDC, and synthesis to run again, while a testbench edit leaves lint/CDC results intact. The files and execution history are stored on disk, allowing work to resume in a new session.
The verification plan and reference model are based on the specification. Stage scripts verify that every planned test ran and passed, and check coverage, timing, and power against the specified targets. Independent model reviews examine whether the test stimulus and checking logic can detect incorrect behavior. Together, these checks and reviews determine whether a stage passes.
Before the flow completes, the engine checks that all required stages have passed and their results still apply. The generated RTL, testbench, constraints, and reports are available in the project directory.
More in the architecture guide (中文).
The flow covers eight stages, from specification to power analysis. Simulation triage is a separate task that investigates simulation failures when the cause is unclear.
The included skills use Synopsys SpyGlass for lint and CDC, Design Compiler for synthesis, PrimeTime for timing and power analysis, and VCS with UVM for simulation.
Three front-end design tasks, bare Claude Code vs. Claude Code + VeriPower. Same LLM, same spec, same EDA tools.
| Benchmark | Scale | Baseline | + VeriPower |
|---|---|---|---|
| gateGPT — fixed-point GPT inference | 346K gates | 3 of 4 coverage metrics below 90% | pass |
| FSA — FlashAttention accelerator | 32K gates | 2 unresolved CDC violations | pass |
| Coral-NPU — RISC-V ML accelerator | 3.4M gates | 6/19 tests | 19/19 |
Across these tasks, VeriPower closes verification gaps in coverage, CDC and test execution.
claude plugin marketplace add chipweaver/veripower
claude plugin install veripower@chipweaver
Or point at a working copy: claude --plugin-dir /path/to/veripower.
Use OpenCode 2 (validated on 2.0.26) and install with its native plugin CLI:
opencode plugin add git+https://github.com/chipweaver/veripower.git
The adapter uses native skills, background subagents and completion notifications.
The adapter is validated with DeepSeek Harness 0.2.1-rc.2.
Install into the profile you run:
dsh plugin --profile web add "veripower@git+https://github.com/chipweaver/veripower.git"
Run dsh web for an interactive design-flow session.
Native plugin and subagents (validated with CLI 0.162.1 on Linux):
codex plugin marketplace add chipweaver/veripower
codex plugin add veripower@chipweaver --json
Launch with codex --enable hooks --enable multi_agent, review the two VeriPower hooks in
/hooks, and start a new session. The plugin uses native subagents and preserves the host's
permission configuration. See Codex setup and runtime behavior.
Ask it to list its skills — the twelve VeriPower ones confirm the install.
Run the brainstorm skill to settle requirements first, then tell the agent:
Run the design flow for {module_dir}
Full walkthrough in the user manual (中文).
Requirements. Python 3.10+, jsonschema >= 4.18, referencing, PyYAML. Synopsys EDA tools, swappable per skill.
Paper forthcoming.
Version: v0.2.9. MIT License. Contributing. Issues.