Home / aditya923-c / xpoz-agent-skills · GitHub

social-sentiment-analyzer SKILL.md skillA

social-sentiment-analyzer from aditya923-c/xpoz-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add aditya923-c/xpoz-agent-skills/social-sentiment-analyzer@v2026-02-24

Pins v2026-02-24 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: aditya923-c/xpoz-agent-skills
Path: skills/social-sentiment-analyzer/SKILL.md
Versions recorded: 5
Latest version: v2026-02-24, committed Feb 24, 2026
First version recorded: Feb 23, 2026
Size: 11,863 bytes
Repository stars: 6
License: MIT

Analyze brand or topic sentiment across Twitter, Reddit, and Instagram using Xpoz. Classifies posts as positive/neutral/negative, extracts recurring themes, and generates a sentiment report. Use when asked for "sentiment analysis", "what are people saying about X", "brand sentiment", or "social media opinion on X".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Social Sentiment Analyzer

## Overview

Analyze public sentiment for any brand, product, or topic across Twitter/X, Reddit, and Instagram. Fetches real posts, classifies sentiment, extracts themes, and produces a structured report.

## When to Use

Activate when the user asks:
- "What's the sentiment around [TOPIC]?"
- "Analyze sentiment for [BRAND] on Twitter"
- "What are people saying about [PRODUCT] on social media?"
- "Is the reaction to [EVENT] positive or negative?"
- "Social media opinion on [TOPIC]"

## Setup & Authentication

Before fetching data, ensure Xpoz access is configured. Follow these checks in order.

### Check 1: Already authenticated?

**If you have MCP tools**, try calling any Xpoz tool (e.g., `checkAccessKeyStatus`). If it works → skip to Step 1.

**If you have the SDK**, try:
```python
from xpoz import XpozClient
client = XpozClient()  # reads XPOZ_API_KEY env var
```
If this succeeds without error → skip to Step 1.

If neither works, you need to authenticate. Choose the path that fits your environment:

---

### Path A: MCP via mcporter (OpenClaw agents)

If `mcporter` is available:

```bash
mcporter call xpoz.checkAccessKeyStatus
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add aditya923-c/xpoz-agent-skills/social-sentiment-analyzer@sha256:6d1560a25524853b

The line at the top of this page pins the label v2026-02-24, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_xhianvwmezixjdyj.svg)](https://markdownregistry.com/a/art_xhianvwmezixjdyj)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Feb 23, 2026 and Feb 24, 2026, more than one a day.

version	committed	commit	size	audit
v2026-02-24 latest	2026-02-24	a2c6076	11,863 B	A	view · diff
v2026-02-23	2026-02-24	d2ce1e9	11,863 B	A	view · diff
v2026-02-23	2026-02-23	5e0078b	11,845 B	A	view · diff
v2026-02-23	2026-02-23	f9b834d	8,915 B	A	view · diff
v2026-02-23	2026-02-23	4f43ff7	7,953 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (11863 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

aditya923-c/xpoz-agent-skills · 6 stars · license MIT · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xhianvwmezixjdyj
GET https://markdownregistry.com/api/v1/resolve?ref=aditya923-c/xpoz-agent-skills/social-sentiment-analyzer
GET https://markdownregistry.com/api/v1/blob/6d1560a25524853b0fc0666f21659eb414947145e1d9c2ab0af053047bdde9c1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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