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.
npx skills add zhaixin244-wq/fnw --skill chip-lint-resolvergit clone --depth 1 https://github.com/zhaixin244-wq/fnwWrote 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/zhaixin244-wq/fnw/chip-lint-resolver)<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.
<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>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 | $0.00062 | $0.01662 |
| Opus 5 | $0.00031 | $0.00831 |
| Sonnet 5 | $0.00012 | $0.00332 |
| Haiku 4.5 | $0.00006 | $0.00166 |
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.
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.vmatches blackbox entryahb_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
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.
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.
- 11d ago First seen · 191 lines · 62 tokens per session scan A 555f82e62fe8
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.
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