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 schematic-erc-reviewgit 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/schematic-erc-review)<a href="https://agentmods.dev/skills/fireostendere/mcp_diptrace/schematic-erc-review"><img src="https://agentmods.dev/badge/skills/fireostendere/mcp_diptrace/schematic-erc-review/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/schematic-erc-review"><img src="https://agentmods.dev/badge/skills/fireostendere/mcp_diptrace/schematic-erc-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00073 | $0.00801 |
| Opus 5.5 | $0.00029 | $0.00320 |
| Sonnet 5.5 | $0.00015 | $0.00160 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
schematic-erc-review 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 28d 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 — 62 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.
Schematic ERC review
RAG: engineering memory by default — shared workflow. Derive an engineering checklist from the circuit-analysis/design corpus and DipTrace schematic/ERC courses, then inspect the actual circuit beyond automated ERC findings.
Produce a read-only disposition with explicit implemented, skipped, and unavailable checks.
Use public tools/list for exact callable names and get_capabilities for document/configured
feature availability.
Workflow
- Call
diptrace_status,get_capabilities, andget_document_info; require a schematic source and freeze its SHA-256. - Read
get_schematic_modelandget_connectivity_graph. Preserve sheet identity, hierarchy, explicit no-connect state, RefDes, pin numbers, and net names. - Run
run_reviewwith profileserc_basic,schematic_review,connectivity, andbom_basiconly when advertised. - For native opening/roundtrip evidence, use the headless schematic workflow on a protected copy through evidence capture. Generic native schematic ERC is not implemented by the base helper; report that specific missing check rather than saying headless Schematic is unavailable. Deduplicate by check ID plus object identity.
- Report every missing mandatory category in
skipped_checks; a skipped mandatory check forbidscompleted. - Validate the report with
../shared/result.schema.json.
Quantitative boundaries
- Query and report pages default to 100 records; follow returned continuation metadata rather than assuming one page is complete.
- Confidence is a number from 0 through 1 in the shared schema. It is not a substitute for an evidence class.
- SHA-256 identity is 64 lowercase hexadecimal characters and must remain unchanged throughout the read-only run.
- All geometric distances are millimetres, independent of document
Units.
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.
- 28d ago Changed · +29 tokens per session 0db62b7edabc
- 1mo ago Changed · +10 lines · +4 tokens per session c139063efac2
- 2mo ago First seen · 52 lines · 40 tokens per session scan A 1f42688d86c8
schematic-erc-review is a skill published in the GitHub repository fireostendere/mcp_diptrace (25 stars, last pushed 24d ago), licensed Apache-2.0. It adds 73 tokens to every session and 801 once invoked, about $0.0003 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.
schematic-erc-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| schematic-erc-reviewfireostendere/mcp_diptrace | Skill | 25 | 24d ago | Apache-2.0 | A | 73 | Claude Code, Codex |
| gke-compute-classesgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 83 | Claude Code, Codex |
| jetson-diagnosticNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code, Codex |
| 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 |