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 nirholas/XActions --skill analytics-insightsgit clone --depth 1 https://github.com/nirholas/XActionsWrote 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/nirholas/xactions/analytics-insights)<a href="https://agentmods.dev/skills/nirholas/xactions/analytics-insights"><img src="https://agentmods.dev/badge/skills/nirholas/xactions/analytics-insights/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/nirholas/xactions/analytics-insights"><img src="https://agentmods.dev/badge/skills/nirholas/xactions/analytics-insights.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 | $0.00059 | $0.01366 |
| Opus 5.5 | $0.00024 | $0.00546 |
| Sonnet 5.5 | $0.00012 | $0.00273 |
| Haiku 4.5 | $0.00006 | $0.00137 |
Grade A, and why
analytics-insights 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics & Insights
Browser console scripts for analyzing X/Twitter performance — no API key needed. All analysis runs in DevTools console.
Script Selection
| Goal | File | Navigate to |
|---|---|---|
| Engagement metrics | src/engagementAnalytics.js |
x.com/USERNAME |
| Best posting times | src/bestTimeToPost.js |
x.com/USERNAME |
| Hashtag analysis | src/hashtagAnalytics.js |
x.com/search?q=%23tag |
| Competitor comparison | src/competitorAnalysis.js |
Any page |
| Follower audit (fake/bot) | src/auditFollowers.js |
x.com/USERNAME/followers |
| Sentiment analysis | src/sentimentAnalyzer.js |
Any timeline |
| Tweet performance ranking | src/tweetPerformance.js |
x.com/USERNAME |
| Viral tweet detection | src/viralTweetDetector.js |
x.com/USERNAME |
| Posting schedule optimizer | src/tweetScheduleOptimizer.js |
x.com/USERNAME |
| Follower demographics | src/audienceDemographics.js |
x.com/USERNAME/followers |
| Follower growth tracking | src/followerGrowthTracker.js |
x.com/USERNAME/followers |
| Content calendar analysis | src/contentCalendar.js |
x.com/USERNAME |
| Engagement leaderboard | src/engagementLeaderboard.js |
x.com/USERNAME |
| Tweet A/B testing | src/tweetABTester.js |
x.com/USERNAME |
| Follow ratio management | src/followRatioManager.js |
x.com/USERNAME |
| Audience overlap analysis | src/audienceOverlap.js |
x.com/ACCOUNT/followers |
| Account health scoring | src/accountHealthMonitor.js |
x.com/USERNAME |
| Shadowban detection | src/shadowbanChecker.js |
x.com/USERNAME |
Quick Start
- Navigate to the required page on x.com
- Open DevTools (F12) → Console
- Paste the script → Enter
- Results display in console + auto-export as JSON
Script Details
engagementAnalytics.js
Scrapes your timeline and calculates per-tweet engagement rates (likes + RTs + replies / views). Shows average, median, best/worst performers, and engagement trend over time.
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 · 115 lines · 59 tokens per session scan A 3f2def341e22
analytics-insights is a skill published in the GitHub repository nirholas/XActions (596 stars, last pushed 2d ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,366 once invoked, about $0.0002 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 2026-08-30.
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