benchmark

benchmark is a skill for Claude Code from OZmasterAI/Torus-Framework. It costs 59 tokens per session (2,993 once invoked), scanned B, original, Apache-2.0.

A performance measurement and tracking workflow for recording how a framework behaves over time. It measures test results, memory counts, gate activity, hook timing, and session data.

In plain words
What is it for?
Use it for full or quick benchmark runs, timing tests, regression checks, and saving a new performance baseline.
Why use it?
It shows whether the framework has improved or regressed by comparing current measurements with earlier baselines, which are saved reference results.

Skill for Claude Code

Written for Claude Code: PreToolUse hook event. Also seen: reads .claude/ paths; mentions subagents.

Good fit Use it for full or quick benchmark runs, timing tests, regression checks, and saving a new performance baseline.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ozmasterai/torus-framework/benchmark
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 OZmasterAI/Torus-Framework --skill benchmark
Clone the repo
git clone --depth 1 https://github.com/OZmasterAI/Torus-Framework

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/ozmasterai/torus-framework/benchmark/github.svg)](https://agentmods.dev/skills/ozmasterai/torus-framework/benchmark)
Your own site
<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/benchmark"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/benchmark/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/benchmark"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/benchmark.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,993 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00059 $0.02993
Opus 5.5 $0.00024 $0.01197
Sonnet 5.5 $0.00012 $0.00599
Haiku 4.5 $0.00006 $0.00299

Measured 1mo ago against content hash 6ed0b94a32c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

benchmark scanned grade B with 2 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 1mo 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

cat ~/.claude/stats-cache.json

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

subprocess.run(
dormant/skills/self-improve/benchmark/SKILL.md · 334 lines

How it starts

The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/benchmark — Framework Performance Benchmarking

When to use

When the user says "benchmark", "measure performance", "track metrics", "how fast are the gates", "regression check", "baseline", or wants to quantify framework health over time.

Commands

  • /benchmark — Full benchmark run (measure + baseline + profile + analyze + report + save)
  • /benchmark --quick — Skip profiling (measure + baseline + report only, faster)
  • /benchmark --profile-only — Skip baseline comparison, run timing tests only
  • /benchmark --save-only — Save current state as a new baseline without running profiling

Steps

1. MEASURE — Collect current metrics

Gather the following metrics from live framework state:

Test suite:

python3 ~/.claude/hooks/test_framework.py 2>&1 | tail -10

Extract: total tests, pass count, fail count, pass rate %.

Memory system:

cat ~/.claude/stats-cache.json

Returns: {"ts": <epoch>, "mem_count": <N>}. Also note memory count from search_knowledge("*", top_k=1) result header (total_memories field).

Framework state:

python3 -c "
import json
with open('~/.claude/LIVE_STATE.json') as f:
    s = json.load(f)
print(json.dumps({
    'session_count': s.get('session_count'),
    'framework_version': s.get('framework_version'),
    'feature': s.get('feature'),
}, indent=2))
"

Gate fire rates from today's audit log:

python3 -c "
import json, os, collections
from datetime import date
log = os.path.expanduser(f'~/.claude/hooks/audit/{date.today()}.jsonl')
if not os.path.exists(log):
    print('No audit log for today')
else:
    entries = [json.loads(l) for l in open(log) if l.strip()]
    total = len(entries)
    by_gate = collections.Counter(e.get('gate','?') for e in entries)
    blocked = sum(1 for e in entries if e.get('decision') == 'block')
    warned = sum(1 for e in entries if e.get('decision') == 'warn')
    passed = sum(1 for e in entries if e.get('decision') == 'pass')
    print(json.dumps({
        'total_events': total,
        'passed': passed,
        'warned': warned,
        'blocked': blocked,
        'block_rate_pct': round(blocked/total*100, 1) if total else 0,
        'top_gates': dict(by_gate.most_common(5)),
    }, indent=2))
"

Read the full file on GitHub · 334 lines

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. 1mo ago First seen · 334 lines · 59 tokens per session scan B 6ed0b94a32c4

Subscribe to this mod's changes

benchmark is a skill published in the GitHub repository OZmasterAI/Torus-Framework (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 59 tokens to every session and 2,993 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 2 findings (reads agent configuration directories, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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