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Agent skill

Benchmark Report

by agentic-community in agentic-community/mcp-gateway-registry

Generate a benchmark report from stress test results (registration, API performance, search concurrency).

Apache-2.0Auto-check passedTesting & QA

Install Benchmark Report

skills CLI
$ npx skills add agentic-community/mcp-gateway-registry --skill benchmark-report -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install agentic-community/mcp-gateway-registry benchmark-report --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/benchmark-report .claude/skills/benchmark-report && rm -rf skills-src

Use ~/.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/

Facts

Skill name
benchmark-report
GitHub stars
962
Token cost
~590 tokens
SKILL.md length
201 words
Files
2
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generate a benchmark report from stress test results (registration, API performance, search concurrency).

  • Works in 2 steps: Run the Report Generator → Review and Present
  • Tasks that involve Load testing
  • SKILL.md covers Prerequisites, Input, Workflow and Report Structure, plus 1 more section
  • Runs Python scripts from its folder; calls python3

What it does

Benchmark Report is an agent skill from agentic-community/mcp-gateway-registry. Generate a benchmark report from stress test results (registration, API performance, search concurrency). Reads JSON result files and produces a markdown report suitable for docs/benchmarks/.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `generate_benchmark_report.py`).

It sits in Testing & QA, covering Load testing. The repository describes itself as: Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Load testing

Example prompts

  • “/benchmark-report”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Run the Report Generator
  2. Review and Present

What it can do on your machine

Read from SKILL.md and the folder at commit ec3a197. 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 script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Benchmark Report loads about 590 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 201 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~590

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from agentic-community/mcp-gateway-registry at commit ec3a197, republished under its Apache-2.0 licence (© agentic-community). 201 words, ~590 tokens.

Download SKILL.mdSave it as .claude/skills/benchmark-report/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
benchmark-report
description
Generate a benchmark report from stress test results (registration, API performance, search concurrency). Reads JSON result files and produces a markdown report suitable for docs/benchmarks/.
license
Apache-2.0
metadata.author
mcp-gateway-registry
metadata.version
1.0

Benchmark Report Skill

Generate a markdown benchmark report from stress test result files. The report documents the registry's performance characteristics under load, including registration throughput, API latency, and semantic search concurrency scaling.

Prerequisites

  1. Stress test results must exist in tests/stress/results/<backend>/size-<N>/
  2. Required files: registration.json, api_perf.json, search_concurrency.json
  3. All JSON files should include registry_info (deployment configuration snapshot)

Input

/benchmark-report [RESULTS_DIR] [OUTPUT_PATH]
  • RESULTS_DIR - Path to the results directory (default: tests/stress/results/documentdb/size-100)
  • OUTPUT_PATH - Where to write the report (default: docs/benchmarks/benchmark-report.md)

Workflow

Step 1: Run the Report Generator
bash
/usr/bin/python3 .claude/skills/benchmark-report/generate_benchmark_report.py \
  --results-dir tests/stress/results/documentdb/size-100 \
  --output docs/benchmarks/benchmark-report.md

The script reads all three JSON files, extracts the key metrics, and produces a structured markdown report.

Step 2: Review and Present

After generation:

  1. Display the executive summary in the conversation
  2. Tell the user the output path
  3. Note any missing data (e.g., if one of the JSON files is absent)

Report Structure

The generated report includes:

  1. Deployment Configuration - from registry_info (version, cloud, compute, storage, auth, embeddings, corpus size)
  2. Registration Throughput - from registration.json (success rates, latency percentiles per entity type)
  3. API Latency (Serial) - from api_perf.json (list endpoints and semantic search at k=5/10/50)
  4. Search Concurrency Scaling - from search_concurrency.json (latency and throughput at concurrency 1/10/100)
  5. Scaling Observations - interpretation of how latency degrades under load

Output

docs/benchmarks/
  benchmark-report.md    # The generated report (committed to repo)

© agentic-community, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .claude/skills/benchmark-report of agentic-community/mcp-gateway-registry.

  • SKILL.md
  • generate_benchmark_report.py

Open the folder on GitHubat commit ec3a197

Compare with similar skills

Benchmark 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.

Benchmark Report compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Benchmark Report this skillagentic-community/mcp-gateway-registry962—~590Automated safety check: PassApache-2.0
5 Persona Advisory Boardharryvondiesel-web/5-persona-advisory-board131—~2.8kAutomated safety check: PassMIT
Writing Livekit Scenarioslivekit-examples/agent-starter-python2641 repos~2.5kAutomated safety check: PassMIT
Go Testingcxuu/golang-skills1701 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner205—~4.4kAutomated safety check: PassMIT

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Categories

Questions about Benchmark Report

What does Benchmark Report do?

Generate a benchmark report from stress test results (registration, API performance, search concurrency). Benchmark Report is an agent skill from agentic-community/mcp-gateway-registry. Generate a benchmark report from stress test results (registration, API performance, search concurrency).

When should I use Benchmark Report?

Benchmark Report fits situations like: tasks that involve Load testing.

How do I install Benchmark Report in Claude Code?

Run `npx skills add agentic-community/mcp-gateway-registry --skill benchmark-report -a claude-code`. Or copy the skill folder (.claude/skills/benchmark-report in agentic-community/mcp-gateway-registry) into .claude/skills/benchmark-report in your project. Claude Code loads it when a task matches its description.

How do I install Benchmark Report in Codex?

Run `npx skills add agentic-community/mcp-gateway-registry --skill benchmark-report -a codex`. Or copy the skill folder (.claude/skills/benchmark-report in agentic-community/mcp-gateway-registry) into .agents/skills/benchmark-report in your project. Codex loads it when a task matches its description.

Can I use Benchmark 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 agentic-community/mcp-gateway-registry --skill benchmark-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/benchmark-report, .gemini/skills/benchmark-report, .github/skills/benchmark-report and .opencode/skills/benchmark-report in your project.

What does Benchmark Report need to run?

Going by SKILL.md and its folder, Benchmark Report needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Benchmark Report access the network?

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.

Is Benchmark 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. Review the folder before installing.

What licence does Benchmark Report use?

Benchmark Report is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Benchmark Report use?

About 590 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Benchmark Report?

Skills that share tags, products or a category with Benchmark Report: 5 Persona Advisory Board (harryvondiesel-web/5-persona-advisory-board, 131 stars), Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 170 stars) and Goalcraft (grp06/goalcraft, 102 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Benchmark Report?

agentic-community (a GitHub organization) maintains it in agentic-community/mcp-gateway-registry, which has 962 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.

Source: agentic-community/mcp-gateway-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.