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Eda Install

skill-shenshan123-r2g-skills-eda-install · by ShenShan123

Detect a machine's environment and install + verify the open-source EDA toolchain that the signoff-loop and def-graph skills need — OpenROAD-flow-scripts (openroad/yosys), iverilog, KLayout, Magic, Netgen, OpenSTA, the sky130A PDK, and the torch+torch_geometric graph venv. Use when setting up a new machine, when `check_env.sh` reports missing tools, when the user asks to install/bootstrap/provisi…

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Install

$ agentstack add skill-shenshan123-r2g-skills-eda-install

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

eda-install Skill

Provision the open-source EDA toolchain, then get out of the way. This is the setup companion to the two working skills: signoff-loop (RTL→GDS + signoff) and def-graph (graph datasets). It answers one question — "are the tools this machine needs present, and if not, how do I get them without breaking anything?" — and acts on the answer.

The one command

bash r2g-skills/eda-install/bootstrap.sh --dry-run     # detect + plan, install NOTHING
bash r2g-skills/eda-install/bootstrap.sh               # install missing tiers + pin env.local.sh + verify

bash r2g-skills/bootstrap.sh is a shim to the same script.

What it does — detect → plan → install → pin → verify

  1. Detect (scripts/setup/detect_env.sh) — a clean KEY=VALUE snapshot of the machine: OS +

package manager, HAVE_SUDO, HAVE_CONDA, a big writable volume (≥15 GB, preferring /proj), plus every tool + PDK the shared scripts/flow/_env.sh resolver already discovers, and a torch-capable python. Absence is data, never an error.

  1. Planbootstrap.sh prints a per-tier table (core / frontend / sky130 / klayout / pdk /

graph), each OK / MISS (required, absent) / OPT (optional, installable), with the exact action it would take. The install channel is chosen by HAVE_SUDO (see below).

  1. Install — each tier is scripts/setup/install_.sh; bootstrap.sh dispatches to one the

moment it exists (and until then prints the command it would run). One extra on-demand helper outside the default plan: --tiers platform_rules materializes the repo's bundled nangate45 DRC/LVS/antenna rule decks into the ORFS checkout (install_platform_rules.sh, best-effort, HINTs when the repo tools/ installers are unreachable).

  1. Pin (scripts/setup/write_env_local.sh) — writes references/env.local.sh into both

signoff-loop and def-graph from the resolved paths, so the flow skills find a conda / /proj toolchain with no manual edit. It pins only what autodetect would miss (e.g. omits openroad/yosys already under $ORFS_ROOT/tools/install) and adds R2G_GRAPH_PYTHON.

  1. Verify — runs scripts/flow/check_env.sh (ORFS + required + optional + graph stage +

platforms) and reports the same table the README documents.

The channel is chosen for you: no-sudo is the default

Detection runs sudo -n true. Without root (HAVE_SUDO=0 — the common case on shared servers) every tier routes through pre-built conda litex-hub packages + a venv, all under the big volume:

| Tool(s) | No-sudo channel | | --- | --- | | openroad, yosys, iverilog, verilator, klayout, magic, netgen, opensta | conda litex-hub (all --override-channels -c litex-hub -c conda-forge — the ToS-gate workaround) | | ORFS flow + platforms | git clone --recursiveno build; env.local.sh points OPENROAD_EXE/YOSYS_EXE at the conda binaries | | sky130A PDK | conda open_pdks.sky130a → the big volume (never volare — proxy/rate-limit caveat) | | torch / torch_geometric / pandas | python3 -m venv + pip (CPU wheels) |

"No sudo" means download pre-built binaries into a user-writable prefix — not compile in userspace. With root, core/frontend may instead build ORFS from source (--yes-gated, ~30 min); every other tier is already root-free. What cannot be self-healed (conda/network blocked, no ≥15 GB volume, a GLIBC too old for the conda binaries) escalates with a clear HINT — never a silent failure.

Flags

| Flag | Effect | | --- | --- | | --dry-run | Detect + plan only; install nothing. Always run this first. | | --yes / -y | Non-interactive; accept the plan (incl. --yes-gated heavy tiers). | | --prefix DIR | Big-volume root for the conda install, PDK, and torch venv. | | --tiers a,b,c | Act only on a subset (core,frontend,sky130,klayout,pdk,graph). | | --graph-python P | Pin an existing torch venv (R2G_GRAPH_PYTHON) instead of building one. | | --plan-from FILE | Plan against a saved detect dump (review / tests) — implies --dry-run. | | --deploy [--link] | After provisioning, run install.sh to deploy the skills (--link recommended). |

Invariants (honesty layer)

  • scripts/flow/_env.sh is byte-identical across all three skills (md5 a5ac873e…) — the same

resolver the flow scripts use; edit every copy together.

  • Detection is read-only and total — it emits every key (empty == absent) and never exits non-zero

for a missing tool.

  • The pin file is idempotent — regenerating env.local.sh writes only what autodetect misses, so

it never fights _env.sh.

  • --dry-run and --plan-from install nothing — the plan is always previewable before any action.

References

  • references/setup.md — tiers, the no-sudo path in depth, and troubleshooting.
  • docs/superpowers/plans/r2g-skills-bootstrap-2026-07-08.md — full design + rationale.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.