Borrowing it
Nothing to install: this file belongs to PowerBeef/Vocello. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PowerBeef/Vocello/main/.claude/skills/vocello-benchmark/SKILL.mdgit clone --depth 1 https://github.com/PowerBeef/VocelloWrote 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/powerbeef/vocello/vocello-benchmark)<a href="https://agentmods.dev/skills/powerbeef/vocello/vocello-benchmark"><img src="https://agentmods.dev/badge/skills/powerbeef/vocello/vocello-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.
<a href="https://agentmods.dev/skills/powerbeef/vocello/vocello-benchmark"><img src="https://agentmods.dev/badge/skills/powerbeef/vocello/vocello-benchmark.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00027 | $0.00327 |
| Opus 5.5 | $0.00011 | $0.00131 |
| Sonnet 5.5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
vocello-benchmark 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 16d 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.
What it actually says
Benchmark checkpoint
Arguments: $ARGUMENTS
Read docs/reference/telemetry-and-benchmarking.md, docs/reference/testing-runbook.md,
docs/reference/qc.md and docs/reference/tooling-and-evidence.md as relevant. Inspect the benchmark registry and
script help before choosing the smallest applicable scripts/macos_test.sh or scripts/ios_device.sh
lane. Source-bound measurements run on committed checkpoints with complete source identity,
fixed seeds, optimized-build receipts, compatible baselines and required memory qualification.
Join/stop every agent first (SubagentStop) and keep host-wide native serialization. Performance, memory and model
inference/generation lanes retain load/memory preflight. Cache-only rescoring of existing audio/results
uses check_cache_only_host: record load/pressure without blocking, retain ownership/native-lock
checks, and make no latency or memory-qualification claim. If worker
tracking is unavailable explicitly declare lead-only only after joining them. Installed assets only;
large downloads and publication need specific authorization. Do not edit source during a run.
Fast QC gates differ from report-only QC v2 (scripts/qc.py); automated scores do not imply human
listening or supported product-quality claims. Preserve failures; a justified rerun gets a new ID
and explanation. Report actual verdict, source/build identity, baseline compatibility and limits.
Never publish benchmark history implicitly.
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.
- 16d ago Changed · +6 lines 0c699fad78d9
- 18d ago First seen · 20 lines · 27 tokens per session scan A 8c6fef31171e
vocello-benchmark is a skill published in the GitHub repository PowerBeef/Vocello (386 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 327 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-11.
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