Cost Export
ruvnet/ruflo
Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)
Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-observability --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/saas-packs/lokalise-pack/skills/lokalise-observability .claude/skills/lokalise-observability && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "lokalise-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/saas-packs/lokalise-pack/skills/lokalise-observability into .claude/skills/lokalise-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-observability", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/saas-packs/lokalise-pack/skills/lokalise-observabilityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-observability --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/saas-packs/lokalise-pack/skills/lokalise-observability .agents/skills/lokalise-observability && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lokalise-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/saas-packs/lokalise-pack/skills/lokalise-observability into .agents/skills/lokalise-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-observability", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-observability --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/saas-packs/lokalise-pack/skills/lokalise-observability .cursor/skills/lokalise-observability && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lokalise-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/saas-packs/lokalise-pack/skills/lokalise-observability into .cursor/skills/lokalise-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-observability", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path plugins/saas-packs/lokalise-pack/skills/lokalise-observability--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-observability --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/saas-packs/lokalise-pack/skills/lokalise-observability .gemini/skills/lokalise-observability && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lokalise-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/saas-packs/lokalise-pack/skills/lokalise-observability into .gemini/skills/lokalise-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-observability", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-observabilityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/saas-packs/lokalise-pack/skills/lokalise-observability .github/skills/lokalise-observability && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lokalise-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/saas-packs/lokalise-pack/skills/lokalise-observability into .github/skills/lokalise-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-observability", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-observability --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/saas-packs/lokalise-pack/skills/lokalise-observability .opencode/skills/lokalise-observability && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lokalise-observability" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/saas-packs/lokalise-pack/skills/lokalise-observability into .opencode/skills/lokalise-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-observability", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
lokalise-observabilitySet up comprehensive observability for Lokalise integrations with metrics, traces, and alerts.
Lokalise Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts. Use when implementing monitoring for Lokalise operations, setting up dashboards, or configuring alerting for Lokalise integration health. Trigger with phrases like "lokalise monitoring", "lokalise metrics", "lokalise observability", "monitor lokalise", "lokalise alerts", "lokalise tracing".
Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud, covering Observability, Monitoring and alerting and Webhooks. It works with Prometheus. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(curl:*)Bash(jq:*)Bash(npm:*)From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.lokalise.comstatus.lokalise.comAlso links to:
developers.lokalise.comprometheus.iogithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LOKALISE_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Lokalise Observability loads about 2.9k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 466 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 466 words, ~2,942 tokens.
.claude/skills/lokalise-observability/SKILL.md (or your agent's skills folder).Monitor Lokalise translation pipeline health: API response times, rate limit consumption, translation completion rates, webhook delivery reliability, file upload/download status, and per-word cost tracking. Built around the @lokalise/node-api SDK with Prometheus-compatible metrics and alerting rules.
@lokalise/node-api SDK installedWrap every SDK call to emit duration, success/failure counts, and rate limit status.
import { LokaliseApi } from "@lokalise/node-api";
interface MetricLabels {
operation: string;
status: "ok" | "error";
code?: string;
}
// Implement this to emit to your metrics backend
declare function emitHistogram(name: string, value: number, labels: MetricLabels): void;
declare function emitCounter(name: string, value: number, labels: MetricLabels): void;
const lok = new LokaliseApi({ apiKey: process.env.LOKALISE_API_TOKEN! });
async function trackedApiCall<T>(
operation: string,
fn: () => Promise<T>
): Promise<T> {
const start = performance.now();
try {
const result = await fn();
const durationMs = performance.now() - start;
emitHistogram("lokalise_api_duration_ms", durationMs, {
operation,
status: "ok",
});
emitCounter("lokalise_api_requests_total", 1, {
operation,
status: "ok",
});
return result;
} catch (err: unknown) {
const code = (err as { code?: number })?.code?.toString() ?? "unknown";
const durationMs = performance.now() - start;
emitHistogram("lokalise_api_duration_ms", durationMs, {
operation,
status: "error",
code,
});
emitCounter("lokalise_api_requests_total", 1, {
operation,
status: "error",
code,
});
throw err;
}
}
// Usage — wrap every SDK call
const keys = await trackedApiCall("keys.list", () =>
lok.keys().list({ project_id: projectId, limit: 500 })
);
const bundle = await trackedApiCall("files.download", () =>
lok.files().download(projectId, {
format: "json",
filter_langs: ["en"],
original_filenames: false,
})
);Poll project statistics and emit per-locale progress as gauge metrics.
declare function emitGauge(name: string, value: number, labels: Record<string, string>): void;
async function collectTranslationMetrics(projectId: string): Promise<void> {
const project = await trackedApiCall("projects.get", () =>
lok.projects().get(projectId)
);
// Overall progress
emitGauge("lokalise_translation_progress_pct", project.statistics?.progress_total ?? 0, {
project: projectId,
locale: "all",
});
emitGauge("lokalise_keys_total", project.statistics?.keys_total ?? 0, {
project: projectId,
});
// Per-language progress
const languages = await trackedApiCall("languages.list", () =>
lok.languages().list({ project_id: projectId, limit: 100 })
);
for (const lang of languages.items) {
emitGauge("lokalise_translation_progress_pct", lang.statistics?.progress ?? 0, {
project: projectId,
locale: lang.lang_iso,
});
emitGauge("lokalise_words_to_do", lang.statistics?.words_to_do ?? 0, {
project: projectId,
locale: lang.lang_iso,
});
}
}
// Run on a schedule (every 5 minutes)
// setInterval(() => collectTranslationMetrics(projectId), 5 * 60_000);set -euo pipefail
# Quick rate limit check — call from a monitoring cron job
HEADERS=$(curl -sI "https://api.lokalise.com/api2/projects?limit=1" \
-H "X-Api-Token: ${LOKALISE_API_TOKEN}" 2>/dev/null)
LIMIT=$(echo "$HEADERS" | grep -i "x-ratelimit-limit" | awk '{print $2}' | tr -d '\r')
REMAINING=$(echo "$HEADERS" | grep -i "x-ratelimit-remaining" | awk '{print $2}' | tr -d '\r')
RESET=$(echo "$HEADERS" | grep -i "x-ratelimit-reset" | awk '{print $2}' | tr -d '\r')
echo "Rate limit: ${REMAINING}/${LIMIT} remaining (resets at ${RESET})"
# Emit as metrics for Prometheus/Datadog
# lokalise_rate_limit_remaining ${REMAINING}
# lokalise_rate_limit_max ${LIMIT}Track webhook processing success and latency in your webhook handler.
import express from "express";
const webhookMetrics = {
received: 0,
processed: 0,
failed: 0,
totalLatencyMs: 0,
};
app.post("/webhooks/lokalise", async (req: express.Request, res: express.Response) => {
webhookMetrics.received++;
const start = performance.now();
// Respond immediately — Lokalise times out after 8 seconds
res.status(200).json({ received: true });
try {
await processWebhookEvent(req.body);
webhookMetrics.processed++;
} catch (error) {
webhookMetrics.failed++;
console.error("Webhook processing failed:", error);
}
const latencyMs = performance.now() - start;
webhookMetrics.totalLatencyMs += latencyMs;
emitCounter("lokalise_webhook_received_total", 1, {
event: req.body.event,
status: webhookMetrics.failed > 0 ? "error" : "ok",
});
emitHistogram("lokalise_webhook_processing_ms", latencyMs, {
event: req.body.event,
status: "ok",
});
});
// Health endpoint exposing webhook metrics
app.get("/metrics/webhooks", (_req, res) => {
res.json({
received: webhookMetrics.received,
processed: webhookMetrics.processed,
failed: webhookMetrics.failed,
avgLatencyMs: webhookMetrics.received > 0
? Math.round(webhookMetrics.totalLatencyMs / webhookMetrics.received)
: 0,
});
});set -euo pipefail
# Subscribe to events that matter for pipeline monitoring
curl -s -X POST "https://api.lokalise.com/api2/projects/${LOKALISE_PROJECT_ID}/webhooks" \
-H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"url": "https://hooks.company.com/lokalise",
"events": [
"project.imported",
"project.exported",
"project.key.added",
"project.key.modified",
"project.translation.updated",
"project.translation.proofread",
"project.task.closed",
"project.contributor.added"
]
}' | jq '{webhook_id: .webhook.webhook_id, events: .webhook.events}'groups:
- name: lokalise
rules:
- alert: LokaliseApiRateLimited
expr: rate(lokalise_api_requests_total{status="error", code="429"}[5m]) > 0
for: 2m
annotations:
summary: "Lokalise API rate limit hit — requests being throttled"
runbook: "Check for runaway loops. Lokalise limit is 6 req/sec per token."
- alert: LokaliseApiErrors
expr: rate(lokalise_api_requests_total{status="error", code=~"5.."}[10m]) > 0.1
for: 5m
annotations:
summary: "Lokalise API returning 5xx errors"
runbook: "Check https://status.lokalise.com. Enable fallback translations."
- alert: TranslationProgressStalled
expr: lokalise_translation_progress_pct < 80 and changes(lokalise_translation_progress_pct[24h]) == 0
for: 24h
annotations:
summary: "Translation progress stalled at {{ $value }}% for 24+ hours"
- alert: WebhookDeliveryFailing
expr: rate(lokalise_webhook_received_total{status="error"}[1h]) > 3
annotations:
summary: "Lokalise webhook deliveries failing ({{ $value }} errors/hour)"
- alert: LokaliseApiLatencyHigh
expr: histogram_quantile(0.95, rate(lokalise_api_duration_ms_bucket[5m])) > 5000
for: 10m
annotations:
summary: "Lokalise API P95 latency above 5 seconds"Key panels for Grafana/Datadog:
| Panel | Metric | Type |
|---|---|---|
| API Request Rate | rate(lokalise_api_requests_total[5m]) | Time series |
| API Latency P50/P95 | histogram_quantile(0.5/0.95, ...) | Time series |
| Rate Limit Remaining | lokalise_rate_limit_remaining | Gauge |
| Translation Progress | lokalise_translation_progress_pct by locale | Bar chart |
| Words Remaining | lokalise_words_to_do by locale | Bar chart |
| Webhook Success Rate | rate(lokalise_webhook_received_total{status="ok"}[5m]) | Time series |
| Error Rate by Code | rate(lokalise_api_requests_total{status="error"}[5m]) by code | Stacked area |
trackedApiCall() wrapper emitting duration and error metrics for every Lokalise API operation| Issue | Cause | Solution |
|---|---|---|
429 Too Many Requests | Exceeded 6 req/sec rate limit | Add request throttling with p-queue |
| Webhook not firing | Wrong event type registered | Verify event names match API reference |
| Progress metric stuck at 0 | Language not added to project | Add target locale in Lokalise project settings |
| Stale metrics | Polling interval too long | Reduce collection interval to 5 minutes |
| High cardinality | Too many label values | Limit operation labels to top-level SDK methods |
An alert reports that French translations have remained at 74% for a day. First
query the project statistic and the webhook/error metrics for the same window;
do not assume that a low progress value is an API outage. If API latency and
error rate are normal but no project.translation.updated events arrived,
route the incident to the translation owner with the project and locale. If
the webhook error metric is elevated, preserve the failed delivery identifiers
and use the webhook runbook before replaying or changing any production data.
For setting up real-time automation based on webhook events, see lokalise-webhooks-events. For incident response procedures when alerts fire, see lokalise-incident-runbook.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/saas-packs/lokalise-pack/skills/lokalise-observability of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Lokalise Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lokalise Observability this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Cost Exportruvnet/ruflo | 74k | — | ~687 | Automated safety check: Notes | MIT | |
| Happy Infra Metrics and Grafanaslopus/happy | 24k | — | ~2k | Automated safety check: Notes | MIT | |
| WizTelemetry Platform Servicekubesphere/kubesphere | 17k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Redis Observabilityredis/agent-skills | 166 | 2 repos | ~911 | Automated safety check: Pass | MIT | |
| Developing Funboost Mixinydf0509/funboost | 895 | — | ~2.1k | Automated safety check: Pass | None |
ruvnet/ruflo
Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)
slopus/happy
Queries live Prometheus metrics and manages Grafana dashboards as code for Happy's infrastructure, using the grafanactl CLI and the Grafana datasource proxy API.
kubesphere/kubesphere
Installs and configures the WizTelemetry Platform Service extension for KubeSphere, the shared API server behind its observability extensions.
redis/agent-skills
Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO…
ydf0509/funboost
当需要为 funboost 创建 Consumer 或 Publisher 的 Mixin 扩展类时使用。触发场景:添加监控、熔断、限流、链路追踪等横切关注点,编写自定义前置/后置处理钩子。关键词:mixin, consumeroverridecls, publisheroverridecls, ConsumerMixin, 自定义消费者, hook, 拦截器, 熔断器, 监控…
prometheus/prometheus-mcp
Builds a picture of whether Prometheus itself is healthy and successfully monitoring its targets, covering readiness, firing alerts, target health and TSDB load.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts. Lokalise Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Set up comprehensive observability for Lokalise integrations with metrics, traces, and alerts.
Lokalise Observability fits situations like: implementing monitoring for Lokalise operations; setting up dashboards; configuring alerting for Lokalise integration health; with phrases like lokalise monitoring.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a claude-code`. Or copy the skill folder (plugins/saas-packs/lokalise-pack/skills/lokalise-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lokalise-observability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a codex`. Or copy the skill folder (plugins/saas-packs/lokalise-pack/skills/lokalise-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lokalise-observability in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lokalise-observability, .gemini/skills/lokalise-observability, .github/skills/lokalise-observability and .opencode/skills/lokalise-observability in your project.
Going by SKILL.md and its folder, Lokalise Observability needs the command-line tools its instructions call (curl and jq) and credentials named LOKALISE_API_TOKEN. Our summary lists: A credential in LOKALISE_API_TOKEN. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(curl:*), Bash(jq:*), Bash(npm:*). Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 5 domains. In commands or code: api.lokalise.com and status.lokalise.com; the agent is likely to contact these when it follows the instructions. As links in the text: developers.lokalise.com, prometheus.io and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Lokalise Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Lokalise Observability: Cost Export (ruvnet/ruflo, 74k stars), Happy Infra Metrics and Grafana (slopus/happy, 24k stars), WizTelemetry Platform Service (kubesphere/kubesphere, 17k stars) and Redis Observability (redis/agent-skills, 166 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.