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/vibeic/vibe-icnpx agentmods add skills/vibeic/vibe-ic/rtl-reviewWrote 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/vibeic/vibe-ic/rtl-review)<a href="https://agentmods.dev/skills/vibeic/vibe-ic/rtl-review"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/rtl-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/vibeic/vibe-ic/rtl-review"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/rtl-review.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 | $0.00063 | $0.01910 |
| Opus 5 | $0.00032 | $0.00955 |
| Sonnet 5 | $0.00013 | $0.00382 |
| Haiku 4.5 | $0.00006 | $0.00191 |
Grade A, and why
rtl-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 4d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RTL Review (Pattern-A — program-driven, doctrine-compliant v0.1.50)
Doctrine (user, 2026-05-29): 把修法寫進工具，而非寫進 prompt。
The 6-category checklist + 0-10 scoring rubric that previously lived in this skill prose is now in
programs/rtl_review_aggregate.py(54 pytest cases pin every category mapping + scoring boundary, and pin that an unreadable producer is REFUSED rather than scored as clean).You run the program first. Claude is the backstop for residual prose, NOT the rule applicator.
When to use
User shares an RTL file or directory and asks for a review.
Mandatory: run the program FIRST
python3 plugins/vibe-ic/programs/rtl_review_aggregate.py \
--rtl-dir <dir-of-.v-and-.sv> \
--out-md rtl_review.md \
--out-json rtl_review.json
Exit codes: 0 = PASS or WARN; 1 = FAIL (with --strict); 2 = bad input.
The program runs three sub-programs:
rtl_hygiene_lint.py— § 1 synthesis hazards + § 3 style + § 5 widthreset_discipline_check.py— § 2 reset/clock hygienertl_precheck_gate.py— § 4 correctness smells + § 6 port fidelity
It aggregates findings into 6 categories, computes the score (rubric in
compute_score()), and emits the same Markdown template the skill
previously asked the LLM to author by hand.
What Claude does (backstop only)
After the program emits rtl_review.md + rtl_review.json:
- Read the program output. Do not re-derive any number it already returned.
- Refuse to claim a higher score than the program returned. The scoring rubric is deterministic; overriding it would be an honesty-rule violation.
- Add residual prose the program cannot author: design-intent comments per finding (why a particular latch is intentional, why a width-mismatch is parameterised), and short fix-suggestions per ERROR / WARN.
- Handoff: if
verdict == "FAIL", recommend/rtl-repair(which runsrtl_hygiene_lint.py --fix). IfWARN, list the items to address before tapeout. IfPASS, proceed to/checkpoint-gate.
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.
- 4d ago Changed · +13 lines e606f619b809
- 7d ago First seen · 143 lines · 63 tokens per session scan A c16530a8d35d
rtl-review is a skill published in the GitHub repository vibeic/vibe-ic (23 stars, last pushed today), licensed Apache-2.0. It adds 63 tokens to every session and 1,910 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 2026-09-03.
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