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/filelists/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/filelists)<a href="https://agentmods.dev/skills/sean-galloway/rtldesignsherpa/filelists"><img src="https://agentmods.dev/badge/skills/sean-galloway/rtldesignsherpa/filelists/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/filelists"><img src="https://agentmods.dev/badge/skills/sean-galloway/rtldesignsherpa/filelists.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 | $0.00058 | $0.00319 |
| Opus 5 | $0.00029 | $0.00160 |
| Sonnet 5 | $0.00012 | $0.00064 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
filelists 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 9d 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
filelists
READ FIRST: vault/handbook/INDEX.md (the handbook is the repo's memory; this skill is the signpost). Canonical: vault/handbook/design/filelists.md.
A new module lands with its filelist IN THE SAME COMMIT, and its area must
appear in bin/filelists.toml. A module with no .f has no consumers and is
indistinguishable from dead code. Consumers -f include; never hand-list
another area's sources.
Check before you commit: python3 bin/filelist_registry.py --check
(also --audit / --find MODULE / --resolve F / --list). Note that --check
prints PASS when declared - covered - exempt is empty - read all three
numbers, not the PASS. [exempt] in the registry is a debt ledger with a
stated reason, not a way to land a module without a filelist.
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.
- 9d ago First seen · 25 lines · 58 tokens per session scan A 4c83ad491773
filelists is a skill published in the GitHub repository sean-galloway/RTLDesignSherpa (23 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 319 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.
Other skills, from other repositories
readable-verilog-generator
Use when creating, writing, reviewing, annotating, repairing, refactoring, or validating readable Verilog RTL, including synthesizable Verilog-2001 .v files, existing-RTL analysis, semantic comment annotation, testbench scaffold planning, ASIC-quality review, local or remote Vivado/xsim validation, evidence-backed…
p1-spec-research-policy
Internal reference: p1 spec research policy (agent-loaded; do not invoke).
rtl-p3-uarch-policy
Internal reference: rtl p3 uarch policy (agent-loaded; do not invoke).
codec-conformance-eval
Evaluate C ref-model decoder against JVET/JCTVC conformance bitstreams (bitexact/MD5) — 'decoder conformance'; C-level, not RTL (rtl-conformance-test).
codec-rd-eval
Encoder RD evaluation of C ref model: BD-PSNR/BD-rate (VCEG-M33) across sequences/QPs — 'RD eval', 'BD-rate', codec algorithm quality comparison.
rat-dse-policy
Internal reference: rat dse policy (agent-loaded; do not invoke).