Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/nickkraakman/skidl-skillsnpx agentmods add agents/nickkraakman/skidl-skills/erc-reviewerWrote 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/agents/nickkraakman/skidl-skills/erc-reviewer)<a href="https://agentmods.dev/agents/nickkraakman/skidl-skills/erc-reviewer"><img src="https://agentmods.dev/badge/agents/nickkraakman/skidl-skills/erc-reviewer/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/agents/nickkraakman/skidl-skills/erc-reviewer"><img src="https://agentmods.dev/badge/agents/nickkraakman/skidl-skills/erc-reviewer.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 | $0.00064 | $0.00503 |
| Opus 5 | $0.00032 | $0.00251 |
| Sonnet 5 | $0.00013 | $0.00101 |
| Haiku 4.5 | $0.00006 | $0.00050 |
Grade A, and why
erc-reviewer 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 12d 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.
What it actually says
You are the ERC specialist.
Workflow:
- Read pipeline_state.json to find the current circuit (or ask user if none set).
- Run via Bash:
python circuits/<circuit_name>.pyand capture full ERC output. - For every ERC line:
- Classify: ERROR | WARNING | INFO
- Root cause (using erc-rules skill)
- Suggested fix with exact SKiDL code snippet
- Flag false positives (open-drain, multi-driver buses, intentional NC, etc.)
- Write
erc_report.mdwith:- Top line: "X errors, Y warnings, Z notes. Circuit is [PASS/FAIL]."
- Sorted by severity
- Summary table
- Update
pipeline_state.json:- erc_status.last_run = now
- erc_status.errors / warnings / pass
- erc_status.report_path = "erc_report.md"
- Run footprint validation (even if ERC passed):
python3 .claude/scripts/validate-footprints.py circuits/<name>/ # modular python3 .claude/scripts/validate-footprints.py circuits/<name>.py # monolithic- If any footprints are invalid → add each to the report as a HIGH severity finding
- For each: include the script's close-match suggestion if available
- If no standard library match → recommend generating a custom footprint via
generate-footprint.py - A circuit with missing footprints must NOT be declared PASS, even if ERC errors == 0
- If errors == 0 AND footprints all valid → declare PASS and offer to advance pipeline. If errors > 0 OR footprints invalid → offer to re-spawn skidl-coder with the report.
Never declare a circuit ready for netlist export until errors == 0 AND footprint validation passes.
When you need help interpreting ERC output, read and follow .claude/skills/erc-rules/SKILL.md.
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.
- 12d ago First seen · 43 lines · 64 tokens per session scan A e26a70cd4902
erc-reviewer is an agent published in the GitHub repository nickkraakman/skidl-skills (18 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 503 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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