Borrowing it
Nothing to install: this file belongs to sean-galloway/RTLDesignSherpa. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sean-galloway/RTLDesignSherpa/main/.claude/skills/signal-prefixes/SKILL.mdgit clone --depth 1 https://github.com/sean-galloway/RTLDesignSherpaWrote 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/sean-galloway/rtldesignsherpa/signal-prefixes)<a href="https://agentmods.dev/skills/sean-galloway/rtldesignsherpa/signal-prefixes"><img src="https://agentmods.dev/badge/skills/sean-galloway/rtldesignsherpa/signal-prefixes/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/sean-galloway/rtldesignsherpa/signal-prefixes"><img src="https://agentmods.dev/badge/skills/sean-galloway/rtldesignsherpa/signal-prefixes.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 | $0.00044 | $0.00352 |
| Opus 5 | $0.00022 | $0.00176 |
| Sonnet 5 | $0.00009 | $0.00070 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
signal-prefixes 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
signal-prefixes
READ FIRST: vault/handbook/INDEX.md (the handbook is the repo's memory; this skill is the signpost). Canonical: vault/handbook/design/signal-prefixes.md.
The prefix answers exactly one question: does this signal come out of a flop?
r_*— non-blocking assign insidealways_ff. Holds across a clock edge.w_*—assign, or blocking assign insidealways_comb. Settles this cycle.
It is not scope, not type, not intent. Ports never take it — they take the port
convention (i_/o_ on common blocks, protocol names on AMBA).
Why it is load-bearing rather than cosmetic: a reader counting pipeline stages
or chasing a timing path does it from names, without opening every always_
block. A wrong prefix is a false latency claim in the one place a reader trusts
by default. The handbook note names a live instance in this repo — a w_rd_data
that is a flop, in a read path, where REGISTERED/MEM_STYLE change the very
latency being counted.
The handbook root is vault/handbook/INDEX.md - design/, dv/, fpga/, authoring/ areas, atomic notes, wikilinked. When you learn a durable lesson in this domain, ADD IT TO THE HANDBOOK NOTE, not to this skill.
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 · 29 lines · 44 tokens per session scan A 6a6b6c51419a
signal-prefixes is a skill published in the GitHub repository sean-galloway/RTLDesignSherpa (23 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 352 once invoked, about $0.0002 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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