step4-placement

step4-placement is a skill for Claude Code, Codex from raisoninme/boardless-pcb. It costs 28 tokens per session (968 once invoked), scanned A, original, MIT.

A design stage for deciding where parts should go in a project, based on an outline, schematic, netlist, and bill of materials. A netlist is a description of which components connect to each other; a bill of materials lists the required parts.

In plain words
What is it for?
Use it to confirm the physical structure with the user, generate a placement offline, audit an inherited placement, and run self-checks before moving on.
Why use it?
It prevents placement work from starting with missing or unconfirmed design information and checks the result against defined requirements.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present. Also seen: mentions Claude Code.

Part of the boardless-pcb plugin — 10 skills, 1 agent shipped together

Good fit Use it to confirm the physical structure with the user, generate a placement offline, audit an inherited placement, and run self-checks before moving on.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/raisoninme/boardless-pcb/step4-placement
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.

Any agent
npx skills add raisoninme/boardless-pcb --skill step4-placement
Clone the repo
git clone --depth 1 https://github.com/raisoninme/boardless-pcb

Made for: Claude Code, Codex.

Or install boardless-pcb, the plugin that ships this one along with the rest of its 10 skills, 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 step4-placement

README.md
[![agentmods](https://agentmods.dev/badge/skills/raisoninme/boardless-pcb/step4-placement/github.svg)](https://agentmods.dev/skills/raisoninme/boardless-pcb/step4-placement)
Your own site
<a href="https://agentmods.dev/skills/raisoninme/boardless-pcb/step4-placement"><img src="https://agentmods.dev/badge/skills/raisoninme/boardless-pcb/step4-placement/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 step4-placement

Your own site · 80×15
<a href="https://agentmods.dev/skills/raisoninme/boardless-pcb/step4-placement"><img src="https://agentmods.dev/badge/skills/raisoninme/boardless-pcb/step4-placement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 968 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 $0.00028 $0.00968
Opus 5 $0.00014 $0.00484
Sonnet 5 $0.00006 $0.00194
Haiku 4.5 $0.00003 $0.00097

Measured 9d ago against content hash 1d53f7410184, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

step4-placement 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 9d 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.

skills/step4-placement/SKILL.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Step 4 · Placement

Session & state check (before touching anything)

  1. One step per session: if this session already did substantive work for another step, stop and ask for a fresh session.
  2. Read docs/flow-state.md (canonical header line; foreign file → stop and ask). Confirm step 3 is done; read the schematic/netlist deliverables, BOM, docs/pinmap.md. Not satisfied → stop and report.
  3. This step already done with no issue targeting it → re-run: ask intent first. Already in-progress → aborted or concurrent session: ask before proceeding. Marked rework → redo what the rework note requires, then wrap up.
  4. Issues-table entries with target step = 4 → fix mode.
  5. Set step 4 in-progress. Rebuild context from disk only.

Execute

Adopt-and-audit path: an inherited placement recorded in flow-state (inherited: <path>, same-EDA only) is ingested, then audited by this step's own checks — the structure gate below still runs (the enclosure decision is the user's even when the placement is theirs), and the four self-checks must pass at zero. The bar doesn't move; only the labor does.

⛔ Hard gate (before any placement work; the AI must not wave itself through)

Board outline, component side, and orientation are enclosure-level decisions — the user's, not your defaults.

  1. Pull real mechanical data from the key components' official specs (outlines, clearances, connector exit positions)
  2. Distill the concrete structural conflicts (e.g. what doesn't fit in which clearance, who competes for which board edge, what large mechanical parts — battery, display, shield, heatsink — cover)
  3. Cross-check the structure decisions against docs/fab-profile.md — layer count, stackup, and clearances must be achievable in the frozen profile; changing the profile is a plan amendment, never a silent swap
  4. Have the user decide via multiple-choice with a recommended option; only then generate coordinates

The structure gate is re-entrant: if packing later proves the confirmed decisions infeasible — or shows the layer count itself must change — come back to the user with the evidence and re-decide before continuing (and amend the dev-plan if the stackup/power-plane strategy changes). Never force a fit past a decision the evidence has invalidated.

Read the full file on GitHub · 43 lines

Files

What ships with it

1 file 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.

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. 9d ago First seen · 43 lines · 28 tokens per session scan A 1d53f7410184

Subscribe to this mod's changes

step4-placement is a skill published in the GitHub repository raisoninme/boardless-pcb (2 stars, last pushed 26d ago), licensed MIT. It adds 28 tokens to every session and 968 once invoked, about $0.0001 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 2026-08-31.

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