仅做 BPU 计数器提取与批量汇总（机器可读 JSON/CSV）。配置文件只需要写原始 stats 计数器名. An agent skill from OpenXiangShan/GEM5.
$ npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenXiangShan/GEM5 frontend-pmu-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenXiangShan/GEM5.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/frontend-pmu-analysis .claude/skills/frontend-pmu-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "frontend-pmu-analysis" agent skill from https://github.com/OpenXiangShan/GEM5/tree/xs-dev/.agents/skills/frontend-pmu-analysis into .claude/skills/frontend-pmu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-pmu-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenXiangShan/GEM5/tree/xs-dev/.agents/skills/frontend-pmu-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenXiangShan/GEM5 frontend-pmu-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenXiangShan/GEM5.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/frontend-pmu-analysis .agents/skills/frontend-pmu-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frontend-pmu-analysis" agent skill from https://github.com/OpenXiangShan/GEM5/tree/xs-dev/.agents/skills/frontend-pmu-analysis into .agents/skills/frontend-pmu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-pmu-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenXiangShan/GEM5 frontend-pmu-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenXiangShan/GEM5.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/frontend-pmu-analysis .cursor/skills/frontend-pmu-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "frontend-pmu-analysis" agent skill from https://github.com/OpenXiangShan/GEM5/tree/xs-dev/.agents/skills/frontend-pmu-analysis into .cursor/skills/frontend-pmu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-pmu-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenXiangShan/GEM5.git --path .agents/skills/frontend-pmu-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenXiangShan/GEM5 frontend-pmu-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenXiangShan/GEM5.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/frontend-pmu-analysis .gemini/skills/frontend-pmu-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "frontend-pmu-analysis" agent skill from https://github.com/OpenXiangShan/GEM5/tree/xs-dev/.agents/skills/frontend-pmu-analysis into .gemini/skills/frontend-pmu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-pmu-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenXiangShan/GEM5 frontend-pmu-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenXiangShan/GEM5.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/frontend-pmu-analysis .github/skills/frontend-pmu-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "frontend-pmu-analysis" agent skill from https://github.com/OpenXiangShan/GEM5/tree/xs-dev/.agents/skills/frontend-pmu-analysis into .github/skills/frontend-pmu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-pmu-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenXiangShan/GEM5 frontend-pmu-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenXiangShan/GEM5.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/frontend-pmu-analysis .opencode/skills/frontend-pmu-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "frontend-pmu-analysis" agent skill from https://github.com/OpenXiangShan/GEM5/tree/xs-dev/.agents/skills/frontend-pmu-analysis into .opencode/skills/frontend-pmu-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-pmu-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
frontend-pmu-analysis仅做 BPU 计数器提取与批量汇总（机器可读 JSON/CSV）。配置文件只需要写原始 stats 计数器名. An agent skill from OpenXiangShan/GEM5.
Frontend Pmu Analysis is an agent skill from OpenXiangShan/GEM5. 仅做 BPU 计数器提取与批量汇总（机器可读 JSON/CSV）。配置文件只需要写原始 stats 计数器名。
Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/analyze_bpu_counters.py`).
It sits in Frontend & Design, covering CSV and tabular files. The licence is BSD-3-Clause.
Read from SKILL.md and the folder at commit 0785475. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Frontend Pmu Analysis loads about 305 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 51 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from OpenXiangShan/GEM5 at commit 0785475, republished under its BSD-3-Clause licence (© OpenXiangShan). 51 words, ~305 tokens.
.claude/skills/frontend-pmu-analysis/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.stats.txt。topMispredictsByBranch.csv 或 bp.db；需要分支级归因时改用对应分析 skill。.agents/skills/frontend-pmu-analysis/scripts/analyze_bpu_counters.py.agents/skills/frontend-pmu-analysis/configs/bpu_counters.txtpython3 .agents/skills/frontend-pmu-analysis/scripts/analyze_bpu_counters.py \
--debug-dir /tmp/debug/tage-new8指定自定义计数器文件：
python3 .agents/skills/frontend-pmu-analysis/scripts/analyze_bpu_counters.py \
--debug-dir /tmp/debug/tage-new8 \
--counters-file /path/to/my_counters.txtbpu_counters_summary.jsonbpu_counters_summary.csv输出字段只包含：
values（命中的计数器和值）missing（缺失计数器）errors（解析错误）推荐 txt（每行一个）：
system.cpu.ipc
system.cpu.commit.branchMispredicts
system.cpu.commit.branches如果要批量分析更多计数器，也可以添加到configs 的txt 中
也支持：
yaml：counters: [ ... ] 或直接列表csv：第一列或 counter 列为计数器名© OpenXiangShan, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in .agents/skills/frontend-pmu-analysis of OpenXiangShan/GEM5.
Open the folder on GitHubat commit 0785475
Frontend Pmu Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Frontend Pmu Analysis this skillOpenXiangShan/GEM5 | 162 | — | ~305 | Automated safety check: Pass | BSD-3-Clause | |
| Flowai Live Dashboard Templatenexu-io/open-design | 100k | — | ~865 | Automated safety check: Pass | Apache-2.0 | |
| Dota2 LocalizationXavierCHN/x-template | 217 | — | ~567 | Automated safety check: Pass | MIT | |
| I18nerupts/erupt-web | 116 | — | ~706 | Automated safety check: Pass | Apache-2.0 | |
| AI Docs InventoryMicrosoftDocs/windows-driver-docs-ddi | 316 | — | ~2.6k | Automated safety check: Pass | CC-BY-4.0 | |
| Odoo 16unclecatvn/agent-skills | 145 | — | ~1.4k | Automated safety check: Pass | MIT |
nexu-io/open-design
Team-management dashboard skill in the FlowAI aesthetic — three tabs (Team Members, Team Details, Activity Log), KPI stat row, member table, role distribution bar chart, online presence and activity…
XavierCHN/x-template
为 DOTA2自定义游戏 项目生成 Dota 2 本地化文本（addon.csv）。触发词：本地化、翻译、loc、i18n、addon.csv、文本、tooltip、多语言。Use when user asks to generate localization entries for abilities/units/items/modifiers, translate Chinese to…
erupts/erupt-web
i18n — add multilingual translations. An agent skill from erupts/erupt-web.
MicrosoftDocs/windows-driver-docs-ddi
Inventory and classify APIs listed in a pre-provided CSV for a WDK header file.
unclecatvn/agent-skills
Odoo 16 development reference for Python models and ORM (search, domain, readgroup, compute fields), XML/CSV data and views, OWL/JS client code, QWeb reports, security (ACL, record rules, groups)…
unclecatvn/agent-skills
Odoo 17 development reference for Python models and ORM (search, domain, readgroup, compute fields), XML/CSV data and views, OWL/JS client code, QWeb reports, security (ACL, record rules, groups)…
OpenXiangShan/GEM5
运行或分析 MGSC 微测试的 SC 子表 A/B 实验，用分支与 MGSCTRACE 统计归因并改进测试. An agent skill from OpenXiangShan/GEM5.
OpenXiangShan/GEM5
采集或分析 gem5/XiangShan TAGE trace，比较统计、热点分支和事件分叉. An agent skill from OpenXiangShan/GEM5.
OpenXiangShan/GEM5
定位 GEM5 性能 CI 的归档与分数，比较 run 的 benchmark 表现并用 stats 分析变化. An agent skill from OpenXiangShan/GEM5.
OpenXiangShan/GEM5
编写或校验 GEM5 SolveSpec 参数搜索，并按请求准备或触发 manual-solve.yml. An agent skill from OpenXiangShan/GEM5.
OpenXiangShan/GEM5
为 GEM5 PR 准备或发布性能对比报告，选择可比 baseline 并汇总分数与关键计数器证据. An agent skill from OpenXiangShan/GEM5.
OpenXiangShan/GEM5
用于在本地通过 gh 远程触发 OpenXiangShan/GEM5 的 manual-perf.yml，并在触发后检查 run 是否正常创建。适用于用户明确要求触发 manual-perf、组装 gh workflow run 命令、校验 workflow 输入项、或确认触发后的 Actions run 状态。
Categories
仅做 BPU 计数器提取与批量汇总（机器可读 JSON/CSV）。配置文件只需要写原始 stats 计数器名. An agent skill from OpenXiangShan/GEM5. Frontend Pmu Analysis is an agent skill from OpenXiangShan/GEM5.
Frontend Pmu Analysis fits situations like: tasks that involve CSV and tabular files.
Run `npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a claude-code`. Or copy the skill folder (.agents/skills/frontend-pmu-analysis in OpenXiangShan/GEM5) into .claude/skills/frontend-pmu-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a codex`. Or copy the skill folder (.agents/skills/frontend-pmu-analysis in OpenXiangShan/GEM5) into .agents/skills/frontend-pmu-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenXiangShan/GEM5 --skill frontend-pmu-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frontend-pmu-analysis, .gemini/skills/frontend-pmu-analysis, .github/skills/frontend-pmu-analysis and .opencode/skills/frontend-pmu-analysis in your project.
Going by SKILL.md and its folder, Frontend Pmu Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Frontend Pmu Analysis is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 305 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Frontend Pmu Analysis: Flowai Live Dashboard Template (nexu-io/open-design, 100k stars), Dota2 Localization (XavierCHN/x-template, 217 stars), I18n (erupts/erupt-web, 116 stars) and AI Docs Inventory (MicrosoftDocs/windows-driver-docs-ddi, 316 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OpenXiangShan (a GitHub organization) maintains it in OpenXiangShan/GEM5, which has 162 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 10, 2026.
Source: OpenXiangShan/GEM5 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
