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.
npx skills add agentic-community/mcp-gateway-registry --skill benchmark-reportgit clone --depth 1 https://github.com/agentic-community/mcp-gateway-registryWrote 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.
[](https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/benchmark-report)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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.
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
- Stress test results must exist in
tests/stress/results/<backend>/size-<N>/ - Required files:
registration.json,api_perf.json,search_concurrency.json - 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:
- Display the executive summary in the conversation
- Tell the user the output path
- Note any missing data (e.g., if one of the JSON files is absent)
Report Structure
The generated report includes:
- Deployment Configuration - from
registry_info(version, cloud, compute, storage, auth, embeddings, corpus size) - Registration Throughput - from
registration.json(success rates, latency percentiles per entity type) - API Latency (Serial) - from
api_perf.json(list endpoints and semantic search at k=5/10/50) - Search Concurrency Scaling - from
search_concurrency.json(latency and throughput at concurrency 1/10/100) - Scaling Observations - interpretation of how latency degrades under load
Output
docs/benchmarks/
benchmark-report.md # The generated report (committed to repo)
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.
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.
- 10d ago First seen · 64 lines · 36 tokens per session scan A 860a5b535323
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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