analyze-xiangshan-wavekit SKILL.md skillA

analyze-xiangshan-wavekit from openxiangshan/xiangshanlab is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add openxiangshan/xiangshanlab/analyze-xiangshan-wavekit@git:20260717.48f785a

Pins git:20260717.48f785a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
openxiangshan/xiangshanlab
Path
tools/analyze-xiangshan-wavekit/SKILL.md
Versions recorded
1
Latest version
git:20260717.48f785a, committed Jul 17, 2026
Size
9,197 bytes
Repository stars
62
License
none declared

Use this skill when analyzing XiangShan/香山 processor simulation waveforms with the wavekit open-source repository. It tracks one instruction by PC through frontend FTQ/branch prediction/redirect, decode, rename, dispatch, ROB, issue, execute, writeback, commit, relevant module FSM states, architectural/difftest state including GPR/FPR/CSR/privilege/exception values, and for memory instructions through LSQ, MemBlock, StoreBuffer, AtomicsUnit, and DCache. It also quantifies redirect effects and…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# XiangShan Waveform Instruction Trace

This skill produces a source-annotated, cycle-accurate analysis of one XiangShan instruction from waveform data using the wavekit open-source repository in this workspace. The required depth is comparable to a hand-written microarchitecture article: every pipeline stage must include handshake evidence, instruction metadata, relevant internal control signals, involved module FSM states, architectural/difftest state, data/control provenance, and Chisel code references.

## Inputs

Require or infer these artifacts:

- XiangShan Chisel source root, supplied by the user each time this skill is used
  (fallback default: `/nfs/home/yanyusong/xs-env/XiangShan`).
- Waveform path: `.fst`, `.vcd`, or `.fsdb`.
- Disassembly path or pasted disassembly.
- Target instruction PC, in hex or decimal.
- Optional: expected top/core scope and clock. Default clock to `TOP.clock`, then verify.

If an input is missing, search local paths first. Do not invent signal names; resolve them from the waveform hierarchy.

## First Read

Read these references as needed:

- `references/workflow.md`: the required analysis workflow and wavekit recipes.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add openxiangshan/xiangshanlab/analyze-xiangshan-wavekit@sha256:2773f90559918374

The line at the top of this page pins the label git:20260717.48f785a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yutc4qoboiydumfz.svg)](https://markdownregistry.com/a/art_yutc4qoboiydumfz)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 17, 2026.

versioncommittedcommitsizeaudit
git:20260717.48f785a latest2026-07-17 48f785a 9,197 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9197 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

openxiangshan/xiangshanlab · 62 stars · license none declared · pushed 2026-11-06 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_yutc4qoboiydumfz
GET https://markdownregistry.com/api/v1/resolve?ref=openxiangshan/xiangshanlab/analyze-xiangshan-wavekit
GET https://markdownregistry.com/api/v1/blob/2773f90559918374f5775a033fc6634712d2bd14560b0a4591b78e85d172b8f1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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