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 TravisLeeeeee/awesome-openclaw-personas --skill performance-benchmarkergit clone --depth 1 https://github.com/TravisLeeeeee/awesome-openclaw-personasWrote 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/travisleeeeee/awesome-openclaw-personas/performance-benchmarker)<a href="https://agentmods.dev/skills/travisleeeeee/awesome-openclaw-personas/performance-benchmarker"><img src="https://agentmods.dev/badge/skills/travisleeeeee/awesome-openclaw-personas/performance-benchmarker/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/travisleeeeee/awesome-openclaw-personas/performance-benchmarker"><img src="https://agentmods.dev/badge/skills/travisleeeeee/awesome-openclaw-personas/performance-benchmarker.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 | $0.00000 | $0.01682 |
| Opus 5.5 | $0.00000 | $0.00673 |
| Sonnet 5.5 | $0.00000 | $0.00336 |
| Haiku 4.5 | $0.00000 | $0.00168 |
Grade A, and why
performance-benchmarker 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 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.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
3 files 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.
- 1mo ago First seen · 189 lines · 0 tokens per session scan A 84287f386e7c
performance-benchmarker is a skill published in the GitHub repository TravisLeeeeee/awesome-openclaw-personas (112 stars, last pushed 6mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,682 tokens. 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 2026-09-03.
Other skills, from other repositories
code-review
Reviews Spec Kit code changes for consistency with applicable design documents, positive and negative test coverage, regression evidence for bug fixes, and consistent repository terminology. Use when reviewing a diff or pull request. Do not use for implementing changes or posting GitHub review actions.
ai-prompt-regression-testing
Use when comparing prompt changes against a fixed evaluation set: record actual model settings, required checks, missing results, judge limitations and case-level regression evidence.
ce-dogfood
Hands-off, diff-scoped browser QA of the active branch: maps user flows, drives a real browser, autonomously fixes small breakages with regression tests and commits, judges experience against product personas, and writes a durable dogfood report. Manual invocation only.
ce-test-browser
Run browser tests for pages affected by the current branch or PR. Use when asked to run or check browser tests for the current change.
ce-test-xcode
Test iOS apps in a simulator with XcodeBuildMCP. Use when iOS changes need simulator evidence before handoff.
press-clip
Turn a live article URL into a press clip that looks like the real coverage — the publication's own logo, fonts, photos and layout kept intact, the ads and clutter removed, and (for a roundup) just the client's section. Renders to PDF. You inspect each site and tailor the removal; the bundled script carries no…