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 Lonsdale201/wp-agent-skills --skill jsf-frontend-eventsgit clone --depth 1 https://github.com/Lonsdale201/wp-agent-skillsWrote 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/lonsdale201/wp-agent-skills/jsf-frontend-events)<a href="https://agentmods.dev/skills/lonsdale201/wp-agent-skills/jsf-frontend-events"><img src="https://agentmods.dev/badge/skills/lonsdale201/wp-agent-skills/jsf-frontend-events/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/lonsdale201/wp-agent-skills/jsf-frontend-events"><img src="https://agentmods.dev/badge/skills/lonsdale201/wp-agent-skills/jsf-frontend-events.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 | $0.00095 | $0.01191 |
| Opus 5.5 | $0.00038 | $0.00476 |
| Sonnet 5.5 | $0.00019 | $0.00238 |
| Haiku 4.5 | $0.00010 | $0.00119 |
Grade A, and why
jsf-frontend-events 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JetSmartFilters frontend events
Subscribe to the JSF event bus and scope every callback. For a listing, the three essential lifecycle channels are:
| Channel | Callback arguments | Meaning |
|---|---|---|
ajaxFilters/start-loading |
provider, queryId |
A real AJAX request started; preloader is active |
ajaxFilters/updated |
provider, queryId, response, requestOptions |
Response was processed and provider DOM/fragments were updated |
ajaxFilters/end-loading |
provider, queryId |
Loading teardown ran and the preloader was hidden |
Use updated to read or initialize the new DOM. Use end-loading for a
global “cycle finished” UI state. They are not aliases.
Load a companion script after JSF
JSF enqueues its public script in wp_footer only on pages where filters were
rendered. Queue the bridge after JSF has enqueued itself and before footer
scripts print:
add_action( 'wp_footer', static function (): void {
if ( ! wp_script_is( 'jet-smart-filters', 'enqueued' ) ) {
return;
}
wp_enqueue_script(
'acme-jsf-bridge',
plugins_url( 'assets/js/jsf-bridge.js', __FILE__ ),
array( 'jet-smart-filters' ),
'1.0.0',
true
);
}, 16 );
Subscribe with provider/query scoping
(() => {
const targetProvider = 'jsf-listing';
const targetQueryId = 'catalog-listing';
const isTarget = (provider, queryId) =>
provider === targetProvider && queryId === targetQueryId;
const bind = () => {
const bus = window.JetSmartFilters?.events;
if (!bus?.subscribe) {
return;
}
bus.subscribe('ajaxFilters/start-loading', (provider, queryId) => {
if (!isTarget(provider, queryId)) return;
document.querySelector('.catalog-shell')?.setAttribute('aria-busy', 'true');
});
bus.subscribe(
'ajaxFilters/updated',
(provider, queryId, response, requestOptions) => {
if (!isTarget(provider, queryId)) return;
initCatalogWidgets(document.querySelector('#catalog-listing'));
}
);
bus.subscribe('ajaxFilters/end-loading', (provider, queryId) => {
if (!isTarget(provider, queryId)) return;
document.querySelector('.catalog-shell')?.setAttribute('aria-busy', 'false');
});
};
if (window.JetSmartFilters?.events) {
bind();
} else {
document.addEventListener('jet-smart-filters/before-init', bind, { once: true });
}
})();
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.
- 1mo ago First seen · 139 lines · 95 tokens per session scan A 0ca4b6601346
jsf-frontend-events is a skill published in the GitHub repository Lonsdale201/wp-agent-skills (25 stars, last pushed 7d ago), licensed MIT. It adds 95 tokens to every session and 1,191 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
gke-workload-scaling-troubleshooting
Diagnoses GKE HorizontalPodAutoscaler (HPA) failures — metrics showing as , FailedGetResourceMetric / FailedGetScale / FailedComputeMetricsReplicas events, missing Pod resource requests, custom/external metrics-pipeline breakage (FailedGetExternalMetric / FailedGetCustomMetric, unavailable metrics adapter…
gke-ai-troubleshooting-jobset-interruption
Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workload deployment, or…
gke-node-notready
Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to node health. Don't…
bigquery-troubleshooting
Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost…
comet-hotfix
Comet preset path: Bug fix / hotfix. Skip brainstorming, directly open → build → verify → archive. Applicable for behavior fixes, scenarios not involving new capability design.
reproduce-and-fix-issues
Reproduce triaged Slack bugs through a configured app-control adapter, verify existing fixes, and open a bounded draft pull request only after before-and-after proof. Use only from the configured Benny repro automation.