chip-lint-resolver

chip-lint-resolver is a skill for Claude Code from zhaixin244-wq/fnw. It costs 62 tokens per session (1,662 once invoked), scanned A, original, MIT.

A tool for resolving vc-spyglass lint reports, which list possible problems in hardware description code. It maps lint rules to JMTAG levels and produces suggested RTL changes or waiver files.

In plain words
What is it for?
Use it to parse lint logs, check black-box modules, map rules to required actions, and produce RTL fix proposals or waivers.
Why use it?
It organizes noisy lint output and separates violations in third-party or black-box modules from issues that need attention. This reduces the manual work of deciding how each warning should be handled.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to parse lint logs, check black-box modules, map rules to required actions, and produce RTL fix proposals or waivers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhaixin244-wq/fnw/chip-lint-resolver
Install

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.

Any agent
npx skills add zhaixin244-wq/fnw --skill chip-lint-resolver
Clone the repo
git clone --depth 1 https://github.com/zhaixin244-wq/fnw

Made for: Claude Code.

Wrote 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.

agentmods badge for chip-lint-resolver

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-lint-resolver/github.svg)](https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-lint-resolver)
Your own site
<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-lint-resolver"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-lint-resolver/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.

agentmods 80×15 button for chip-lint-resolver

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/chip-lint-resolver"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/chip-lint-resolver.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,662 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.01662
Opus 5 $0.00031 $0.00831
Sonnet 5 $0.00012 $0.00332
Haiku 4.5 $0.00006 $0.00166

Measured 11d ago against content hash 555f82e62fe8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

chip-lint-resolver 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 11d 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.

.claude/skills/chip-lint-resolver/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chip Lint Resolver

Resolves vc-spyglass lint violations by mapping each rule to its JMTAG execution level, then producing RTL modification proposals or waive files.

When to Use

  • Processing vc-spyglass lint log output (.log, .rpt, .out)
  • Need to map lint rule names to JMTAG execution standards
  • Need to generate RTL fix proposals or waive files
  • Debugging lint violations with wiki knowledge lookup

Core Workflow

0. Load blackbox module list
1. Parse lint log → extract (rule_name, file, line, message) tuples
2. Check blackbox → if module is BLACKBOX, auto-waive all its violations
3. Map remaining rules → JMTAG level via reference table
4. For each JMTAG level, execute the corresponding action
5. Output: RTL modification proposal + waive file

Step 0: Load Blackbox Module List

Read blackbox-modules.md (same directory as this SKILL.md) to load the blackbox module list.

A module is BLACKBOX if:

  • Its module name matches an entry in the blackbox list, OR
  • The violating file path contains a blackbox module name (e.g., ip/ahb_slave/ahb_slave.v matches blackbox entry ahb_slave)

Blackbox modules are typically:

  • Third-party IP (not owned by the team)
  • Pre-verified IP (already tape-out proven)
  • Hard macros or analog wrappers
  • Modules explicitly excluded from lint scope

If blackbox-modules.md is empty or missing, skip this step and process all violations normally.

Step 1: Parse Lint Log

vc-spyglass log format (typical patterns):

Warning [<rule_name>] <file>:<line> <message>
Error [<rule_name>] <file>:<line> <message>

Extract: rule_name, severity, file path, line number, violation message.

If log format is unknown, ask user to paste a sample or specify format.

Step 2: Filter Blackbox Violations

For each parsed violation, check if its module is in the blackbox list:

module_name ← extract from file path (e.g., "ahb_slave" from "ip/ahb_slave/ahb_slave.v")
if module_name in blackbox_list:
    → mark as BLACKBOX_WAIVED, skip JMTAG analysis

Read the full file on GitHub · 191 lines

Files

What ships with it

2 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.

Changes

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.

  1. 11d ago First seen · 191 lines · 62 tokens per session scan A 555f82e62fe8

Subscribe to this mod's changes

chip-lint-resolver is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,662 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.

Related

Other skills, from other repositories

gke-ai-troubleshooting-tpu-dynamic-slices-monitoring

Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use…

google/skills · 107 tokens

gke-ai-troubleshooting-tpu-vbar-oom

Diagnoses and prevents vbarcontrolagent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbarcontrolagent crashes, memory cgroup OOMs in serial console…

google/skills · 125 tokens

competition-firmware-layout

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware images, partition tables, boot chains, update packages, extracted filesystems, embedded configs, and device-facing trust boundaries. Use when the user asks to unpack firmware, map partition layout, inspect bootloader or init…

zhaoxuya520/reverse-skill · 110 tokens

doca-flow

Build and debug DOCA Flow applications on supported NVIDIA NICs/DPUs: define match/action pipes, initialize ports and representors, choose forwarding targets, validate pipes before hardware programming, read counters, match the Flow version to the installed DOCA release, and diagnose Flow API errors. Trigger on DOCA…

NVIDIA/skills · 140 tokens

diagnose-driver-install

Diagnose NVIDIA driver installation failures on DeepOps-managed nodes — nvidia-smi errors, "No devices were found", DKMS build failures, or GPU pods crash-looping. Use before reinstalling anything.

NVIDIA/deepops · 47 tokens

catc-troubleshoot

Catalyst Center troubleshooting workflows - device unreachable investigation, client connectivity issues, interface down analysis, site-wide outage triage, wireless roaming problems, integration with pyATS for CLI-level diagnostics. Use when a device is unreachable, a user reports connectivity problems, an interface…

automateyournetwork/netclaw · 74 tokens