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.
npx skills add fireostendere/mcp_diptrace --skill diptrace-evidence-capturegit clone --depth 1 https://github.com/fireostendere/mcp_diptraceWrote 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.
[](https://agentmods.dev/skills/fireostendere/mcp_diptrace/diptrace-evidence-capture)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01358 |
| Opus 5 | $0.00035 | $0.00679 |
| Sonnet 5 | $0.00014 | $0.00272 |
| Haiku 4.5 | $0.00007 | $0.00136 |
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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DipTrace evidence capture
Prefer the most deterministic available evidence path without promoting runtime or operator claims
to trusted provenance. For current whole-board PCB validation on a real Windows DipTrace host, use
the native headless profile first. For unsupported native actions, editors, format probes, or human
visual questions, 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.
Native PCB acceptance first
Run the bounded native PCB rail when the task is refill/DRC/save/reopen/XML round-trip evidence:
py -m diptrace_mcp.pcb_native_acceptance run `
--diptrace-root "C:\Program Files\DipTrace" `
--project "C:\work\board.dipxml" `
--output-xml "C:\work\evidence\board.native.dipxml"
For a binary .dip project, provide --baseline-xml expected.dipxml. The helper snapshots the
baseline before GUI mutation, runs the real PCB editor on the isolated Win32 desktop by default,
invokes the bounded diptrace-5.3-en-v1 menu profile, saves/closes/reopens, exports distinct XML,
and writes a *.native-evidence.json sidecar.
Interpret the result exactly:
PASS/ exit0: DRC matched a verified success token, structural invariants stayed equal, and the full XML semantic fingerprint equals the immutable baseline.FAIL/ exit1: the native pipeline failed, DRC exposed a positive error count, structural invariants changed, or desktop/window-station/session safety evidence changed.HUMAN_REVIEW_REQUIRED/ exit2: native transport completed but a locale/dialog is unknown, no immutable baseline exists, or a full semantic delta remains after stable structural checks.
Do not reinterpret HUMAN_REVIEW_REQUIRED as PASS. Do not recover from an unknown menu/dialog by
coordinate clicks, SendInput, physical cursor movement, or synthesized keyboard shortcuts. A new
DipTrace build/locale must first establish a reviewed native profile or fall back to operator
capture.
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.
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.
- 11d ago First seen · 102 lines · 70 tokens per session scan A cc3da2608170
diptrace-evidence-capture is a skill published in the GitHub repository fireostendere/mcp_diptrace (22 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 1,358 once invoked, about $0.0003 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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