What is diptrace-evidence-capture?

A workflow for collecting and checking reviewable DipTrace PCB evidence, including board validation, source handling, export capture, and metadata recording.

Use it when validating or documenting DipTrace boards through refill, design-rule checks, saving, reopening, XML round trips, or guided evidence capture.

It provides a traceable way to verify board changes and distinguish native DipTrace results from operator-reported actions.

diptrace-evidence-capture — Skill by fireostendere/mcp

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 fireostendere/mcp_diptrace --skill diptrace-evidence-capture

Clone the repo

git clone --depth 1 https://github.com/fireostendere/mcp_diptrace

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/fireostendere/mcp_diptrace/diptrace-evidence-capture/github.svg)](https://agentmods.dev/skills/fireostendere/mcp_diptrace/diptrace-evidence-capture)

Your own site

<a href="https://agentmods.dev/skills/fireostendere/mcp_diptrace/diptrace-evidence-capture"><img src="https://agentmods.dev/badge/skills/fireostendere/mcp_diptrace/diptrace-evidence-capture/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/fireostendere/mcp_diptrace/diptrace-evidence-capture"><img src="https://agentmods.dev/badge/skills/fireostendere/mcp_diptrace/diptrace-evidence-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,503 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00131	$0.02503
Opus 5.5	$0.00052	$0.01001
Sonnet 5.5	$0.00026	$0.00501
Haiku 4.5	$0.00013	$0.00250

Measured 23d ago against content hash 0b1d63769e53, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

diptrace-evidence-capture 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 23d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/capture_diptrace_evidence.py, scripts/ingest_fixtures.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/diptrace-evidence-capture/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Read runtime access before choosing between explicit-path MCP, a live bridge session, and native/headless CLI. Their availability is separate.

DipTrace evidence capture

RAG: engineering memory by default — shared workflow. Use DipTrace course knowledge as working context for editor, verification and export procedures; translate it to verified native profiles and actual MCP/CLI capabilities.

Prefer the most deterministic available evidence path without promoting runtime or operator claims to trusted provenance. For supported opening/saving, PCB validation, or recording, use the native headless helper first. Windows, WSL-to-Windows, and installed Linux/macOS Wine backends are described in runtime access, including their different path/desktop handling. For a formal operator-supplied format-evidence candidate or an unsupported native action, use the legacy operator workflow in references/operator-workflow.md.

Use public tools/list for exact callable names and get_capabilities for session, document, and feature availability. Native host orchestration is a local helper and does not expand the MCP tool contract.

Open/save/close and capture

The base headless roundtrip opens and saves pcb, schematic, component, and pattern documents in the actual editor. It is a local CLI, so it need not appear in MCP tools/list. Check the installed helper/module and backend before reporting that native opening is unavailable. The command saves its input: use an isolated copy for a read-only review, and retain original/copy hashes and process evidence.

Base roundtrip does not re-export XML or run native ERC/DRC. For a native .dch/.dip, export XML with diptrace_mcp.native_xml_export on a private copy (the source is never saved; see runtime access). Use the separate bounded schematic helper below for schematic Save As/re-export/ERC evidence and the PCB profile for PCB XML re-export, refill and DRC. Preserve supported evidence and report the exact remaining unsupported action. Do not invent another export command.

Read the full file on GitHub · 176 lines

Files

What ships with it

3 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.

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.

23d ago Changed · +7 lines 0b1d63769e53
28d ago Changed · +6 lines · +43 tokens per session 1d76cea5e193
1mo ago Changed · +61 lines · +18 tokens per session 0c09f1b7ee61
2mo ago First seen · 102 lines · 70 tokens per session scan A cc3da2608170

Subscribe to this mod's changes

diptrace-evidence-capture is a skill published in the GitHub repository fireostendere/mcp_diptrace (25 stars, last pushed 24d ago), licensed Apache-2.0. It adds 131 tokens to every session and 2,503 once invoked, about $0.0005 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.

Hardware and IoT

diptrace-evidence-capture next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
diptrace-evidence-capturefireostendere/mcp_diptrace	Skill	25	24d ago	Apache-2.0	A	131	Claude Code, Codex
gke-compute-classesgoogle/skills	Skill	22k	yesterday	Apache-2.0	A	83	Claude Code, Codex
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holoscan-install-wheelNVIDIA/skills	Skill	3.9k	yesterday	Apache-2.0	A	34	Claude Code, Codex
offensive-z-waveSnailSploit/Claude-Red	Skill	10k	25d ago	MIT	A	113	Claude Code, Codex
doca-socket-relayNVIDIA/skills	Skill	3.9k	yesterday	Apache-2.0	A	236	Claude Code, Codex
hsb-flashNVIDIA/skills	Skill	3.9k	yesterday	Apache-2.0	B	94	Claude Code