Borrowing it
Nothing to install: this file belongs to ItsWendell/palot. 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/ItsWendell/palot/main/.agents/skills/palot-performance/SKILL.mdgit clone --depth 1 https://github.com/ItsWendell/palotWrote 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/itswendell/palot/palot-performance)<a href="https://agentmods.dev/skills/itswendell/palot/palot-performance"><img src="https://agentmods.dev/badge/skills/itswendell/palot/palot-performance/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/itswendell/palot/palot-performance"><img src="https://agentmods.dev/badge/skills/itswendell/palot/palot-performance.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 | $0.00078 | $0.02476 |
| Opus 5.5 | $0.00031 | $0.00990 |
| Sonnet 5.5 | $0.00016 | $0.00495 |
| Haiku 4.5 | $0.00008 | $0.00248 |
Grade A, and why
palot-performance 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Palot Performance
Use the smallest loop that can prove or disprove the suspected cost. Preserve UX, motion, and native/CSS material unless measurements show a concrete problem and the cheaper rendering path still looks right.
Read repository-root ../../../docs/desktop-testing.md for harness commands and measurement contracts. Read references/main-thread-budget.md for current main-thread investigation rules; historical measurements are not evidence for the current checkout.
Choose The Loop
- Static React health: run
bun run perf:doctorfor changed code andbun run perf:react-checkfor React Compiler compatibility diagnostics. - Full static baseline: run
bun run perf:doctor:full. Treat it as advisory until the documented baseline has been paid down. - Deterministic native measurement: run
bun run perf:e2e. It builds an isolated Electron app, warms a long transcript switch, records frame intervals, long tasks, CDP metrics, Electron process CPU/memory, and streaming latency, then retains private artifacts. - Input contention: run
bun run perf:input. It types a real draft while the visible session and background sessions stream. Use it to evaluate responsiveness, not only throughput. - Batch-size contention:
bun run perf:batch:steadyandbun run perf:batch:burstuse identical numbered text with different provider arrival clustering. Inspect actual renderer batch sizes and synchronous callback durations alongside typing, freshness, and throughput; the transport timer is not a processing budget. These are different workloads, not a product A/B comparison. - Navigation/cancellation contention: run
bun run perf:interactions. It checks trusted session switches, wheel-up, a stable visible reading anchor, return to latest, and Stop under four continuous streams. Per-action DOM milestones include existing fades and are not compositor presentation. - Visual recording:
bun run perf:input:videoor add--videoto a matching E2E command. Requiresffmpeg; retains renderer-onlyvideo.mp4and capture metadata. Recording adds observer overhead, is not presented-frame/FPS evidence, and must not be compared to unrecorded benchmarks. - Streaming geometry:
bun run perf:stability(orperf:stability:video) adds bounded active-turn/composer/scroll geometry sampling. Use it for bottom-follow jumps, not as a clean input benchmark. Inspect rAF and resize-observer phases separately; transient DOM measurements are not presented-frame proof. - Streaming throughput and scroll correctness: run
bun run perf:parallel; usebun run perf:parallel:tracefor whole-app attribution.bun run perf:parallel:memoryrepeats accumulating workloads with forced GC to investigate retention, not independent latency samples. - Style attribution: run
bun run perf:selectors. Phase-separated React render attribution: runbun run perf:scan:render. Both add observer overhead and are not neutral benchmarks. - Repeated comparison:
bun run perf:compare <baseline.json...> -- <candidate.json...>checks matched report metadata and summarizes run-level medians/ranges. It requires at least two independent runs per group (five recommended), rejects legacy/memory-cycle reports, and does not launch tests or declare regression budgets. - Attribution trace: run
bun run perf:trace. It repeats the deterministic scenario with React's profiling build and writesperformance-trace.jsonbesideperformance.json. - Render overlay: enable React Scan in Settings > Diagnostics or run
bun run dev:scan. The dev client starts hidden; usePALOT_REACT_SCAN=1 bun run dev:visiblefor visible inspection without taking focus, andPALOT_REACT_SCAN=1 bun run dev:focusonly when focus behavior matters. Palot reloads so React Scan can install before React. Use it to find candidate rerenders, then disable it before measuring. - Compiler experiment: run
bun run perf:compilerfor whole-rendererinfermode orbun run perf:compiler:annotationto validate opt-in mode. The normal build does not enable React Compiler.
What ships with it
4 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 · 93 lines · 78 tokens per session scan A 10e963d73f64
palot-performance is a skill published in the GitHub repository ItsWendell/palot (194 stars, last pushed 2d ago), licensed MIT. It adds 78 tokens to every session and 2,476 once invoked, about $0.0003 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 2026-09-13.
palot-performance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| palot-performanceItsWendell/palot | Skill | 194 | 2d ago | MIT | A | 78 | Codex |
| five-whyswesammustafa/Claude-Code-Everything-You-Need-to-Know | Skill | 3.5k | 3d ago | none | A | 53 | Claude Code |
| check-linkswesammustafa/Claude-Code-Everything-You-Need-to-Know | Skill | 3.5k | 3d ago | none | A | 44 | Claude Code, Codex |
| eval-hooksFlorianBruniaux/claude-code-ultimate-guide | Skill | 6.4k | 2d ago | CC-BY-SA-4.0 | A | 115 | Claude Code |
| check-cache-bugsFlorianBruniaux/claude-code-ultimate-guide | Skill | 6.4k | 2d ago | CC-BY-SA-4.0 | A | 38 | Claude Code |
| sandbox-unblockFlorianBruniaux/claude-code-ultimate-guide | Skill | 6.4k | 2d ago | CC-BY-SA-4.0 | A | 65 | Claude Code |
| investigateFlorianBruniaux/claude-code-ultimate-guide | Skill | 6.4k | 2d ago | CC-BY-SA-4.0 | A | 17 | Claude Code |