Matlab Use Visual Inspection
matlab/matlab-agentic-toolkit
Build machine vision inspection systems with MATLAB Visual Inspection Toolbox.
Automatically fetch InferenceX benchmark data and generate daily performance reports for LLM inference on various hardware (NVIDIA, AMD, etc.).
Install Inferencex Report
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills inferencex-report --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/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/inference/inferencex-report .claude/skills/inferencex-report && 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 "inferencex-report" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/inferencex-report into .claude/skills/inferencex-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inferencex-report", 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/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/inferencex-reportType 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 ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills inferencex-report --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/inference/inferencex-report .agents/skills/inferencex-report && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "inferencex-report" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/inferencex-report into .agents/skills/inferencex-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inferencex-report", 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 ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills inferencex-report --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/inference/inferencex-report .cursor/skills/inferencex-report && 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 "inferencex-report" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/inferencex-report into .cursor/skills/inferencex-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inferencex-report", 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/ascend-ai-coding/awesome-ascend-skills.git --path skills/inference/inferencex-report--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 ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills inferencex-report --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/inference/inferencex-report .gemini/skills/inferencex-report && 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 "inferencex-report" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/inferencex-report into .gemini/skills/inferencex-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inferencex-report", 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 ascend-ai-coding/awesome-ascend-skills inferencex-reportInstalls 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 ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/inference/inferencex-report .github/skills/inferencex-report && 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 "inferencex-report" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/inferencex-report into .github/skills/inferencex-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inferencex-report", 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 ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills inferencex-report --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/inference/inferencex-report .opencode/skills/inferencex-report && 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 "inferencex-report" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/inferencex-report into .opencode/skills/inferencex-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inferencex-report", 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.
Facts
- Skill name
inferencex-report- GitHub stars
- 174
- Token cost
- ~1.1k tokens
- SKILL.md length
- 292 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
Automatically fetch InferenceX benchmark data and generate daily performance reports for LLM inference on various hardware (NVIDIA, AMD, etc.).
- Works in 3 steps: Data Update Summary → Data Overview → 8k1k Performance Matrix ⭐
- Needing to track LLM inference performance trends
- SKILL.md covers Overview, Supported Models, Supported Hardware and Supported Frameworks, plus 9 more sections
- Runs Python scripts from its folder; calls python3 and curl; reaches inferencex.semianalysis.com; needs SENDER_PASSWORD
What it does
Inferencex Report is an agent skill from ascend-ai-coding/awesome-ascend-skills. Automatically fetch InferenceX benchmark data and generate daily performance reports for LLM inference on various hardware (NVIDIA, AMD, etc.). Supports email delivery, data change detection, and 8k1k sequence length performance analysis. Use when needing to track LLM inference performance trends, compare hardware configurations, or monitor benchmark updates.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api_reference.md`, `references/configuration.md` and `scripts/inferencex_api_report.py`).
It sits in AI & LLM Engineering, covering LLM inference and serving, Anomaly detection and Transactional email. It works with NVIDIA AI Platform. The repository describes itself as: A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/.
When your agent uses it
- Needing to track LLM inference performance trends
- Compare hardware configurations
- Monitor benchmark updates
Example prompts
- “/inferencex-report”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Data Update Summary
- Data Overview
- 8k1k Performance Matrix ⭐
What it can do on your machine
Read from SKILL.md and the folder at commit 62a4ecb. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
inferencex.semianalysis.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
SENDER_PASSWORD
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Inferencex Report loads about 1.1k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 292 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.
Safety
Auto-check passed
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.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 292 words (~1,077 tokens).
“Automatically fetch InferenceX benchmark data and generate daily performance reports for LLM inference on various hardware platforms.”
- name
- inferencex-report
- keywords
- inferencex, benchmark, llm inference, performance report, nvidia, amd, ascend, deepseek, llama, qwen, daily report, 性能报告, 推理基准
Files
SKILL.md and 3 other files (scripts, references) in skills/inference/inferencex-report of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- references/api_reference.md
- references/configuration.md
- scripts/inferencex_api_report.py
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
Inferencex Report 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 |
|---|---|---|---|---|---|---|
| Inferencex Report this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~1.1k | Automated safety check: Pass | None | |
| Matlab Use Visual Inspectionmatlab/matlab-agentic-toolkit | 1.1k | — | ~3.1k | Automated safety check: Pass | Custom licence | |
| Nemotron Nano3NVIDIA-NeMo/Nemotron | 2.1k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Nemotron Super3NVIDIA-NeMo/Nemotron | 2.1k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| SGLang Structured ServingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Nemotron UltraNVIDIA-NeMo/Nemotron | 2.1k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
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Covers serving LLMs with SGLang, whose RadixAttention reuses cached prefixes, and constraining output to JSON, regex or grammar for agent and tool-calling workloads.
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Questions about Inferencex Report
What does Inferencex Report do?
Automatically fetch InferenceX benchmark data and generate daily performance reports for LLM inference on various hardware (NVIDIA, AMD, etc.). Inferencex Report is an agent skill from ascend-ai-coding/awesome-ascend-skills.).
When should I use Inferencex Report?
Inferencex Report fits situations like: needing to track LLM inference performance trends; compare hardware configurations; monitor benchmark updates.
How do I install Inferencex Report in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a claude-code`. Or copy the skill folder (skills/inference/inferencex-report in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/inferencex-report in your project. Claude Code loads it when a task matches its description.
How do I install Inferencex Report in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a codex`. Or copy the skill folder (skills/inference/inferencex-report in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/inferencex-report in your project. Codex loads it when a task matches its description.
Can I use Inferencex Report in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill inferencex-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inferencex-report, .gemini/skills/inferencex-report, .github/skills/inferencex-report and .opencode/skills/inferencex-report in your project.
What does Inferencex Report need to run?
Going by SKILL.md and its folder, Inferencex Report needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and curl) and credentials named SENDER_PASSWORD. Our summary lists: Python 3.
Does Inferencex Report access the network?
SKILL.md names 1 domain. In commands or code: inferencex.semianalysis.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Inferencex Report safe to install?
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.
What licence does Inferencex Report use?
No licence was found for Inferencex Report or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Inferencex Report use?
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.
What are the alternatives to Inferencex Report?
Skills that share tags, products or a category with Inferencex Report: Matlab Use Visual Inspection (matlab/matlab-agentic-toolkit, 1.1k stars), Nemotron Nano3 (NVIDIA-NeMo/Nemotron, 2.1k stars), Nemotron Super3 (NVIDIA-NeMo/Nemotron, 2.1k stars) and SGLang Structured Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Inferencex Report?
ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 8, 2026.
Source: ascend-ai-coding/awesome-ascend-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.