benchmark-report

benchmark-report is a skill for Claude Code from agentic-community/mcp-gateway-registry. It costs 36 tokens per session (544 once invoked), scanned A, original, Apache-2.0.

A report generator that turns JSON results from registration, API performance, and search-concurrency stress tests into a Markdown document. Stress tests measure how software behaves under heavy or simultaneous use.

In plain words
What is it for?
Use it to create benchmark reports from the required result files, documenting throughput, response times, search scaling, and the recorded deployment setup.
Why use it?
It removes the need to manually collect performance measurements and format them for project documentation.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths.

Good fit Use it to create benchmark reports from the required result files, documenting throughput, response times, search scaling, and the recorded deployment setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentic-community/mcp-gateway-registry/benchmark-report
Install

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.

Any agent
npx skills add agentic-community/mcp-gateway-registry --skill benchmark-report
Clone the repo
git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registry

Made for: Claude Code.

Wrote 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.

agentmods badge for benchmark-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentic-community/mcp-gateway-registry/benchmark-report/github.svg)](https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/benchmark-report)
Your own site
<a href="https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/benchmark-report"><img src="https://agentmods.dev/badge/skills/agentic-community/mcp-gateway-registry/benchmark-report/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.

agentmods 80×15 button for benchmark-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/benchmark-report"><img src="https://agentmods.dev/badge/skills/agentic-community/mcp-gateway-registry/benchmark-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 544 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00544
Opus 5 $0.00018 $0.00272
Sonnet 5 $0.00007 $0.00109
Haiku 4.5 $0.00004 $0.00054

Measured 10d ago against content hash 860a5b535323, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

benchmark-report 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (generate_benchmark_report.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/benchmark-report/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

/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)

Read the full file on GitHub · 64 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 10d ago First seen · 64 lines · 36 tokens per session scan A 860a5b535323

Subscribe to this mod's changes

benchmark-report is a skill published in the GitHub repository agentic-community/mcp-gateway-registry (903 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 544 once invoked, about $0.0002 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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