social-sentiment-analyzer SKILL.md skillA
social-sentiment-analyzer from xpozpublic/xpoz-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add xpozpublic/xpoz-agent-skills/social-sentiment-analyzer@v2026-02-24Pins v2026-02-24 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- xpozpublic/xpoz-agent-skills
- Path
skills/social-sentiment-analyzer/SKILL.md- Versions recorded
- 6
- Latest version
- v2026-02-24, committed Sep 9, 2026
- First version recorded
- Jul 1, 2026
- Size
- 12,106 bytes
- Repository stars
- 16
- 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. Get a free access key (below). --- ### Recommended: a free access key …
Read the whole file at its exact version.
How to install
mdr add xpozpublic/xpoz-agent-skills/social-sentiment-analyzer@sha256:d59053be8b304484The 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.
[](https://markdownregistry.com/a/art_vxkqk4fq6cn4egn6)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Jul 1, 2026 and Sep 9, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2026-02-24 latest | 2026-09-09 | d18bc4b | 12,106 B | A | view · diff |
| v2026-02-24 | 2026-08-26 | 236e0c7 | 13,665 B | A | view · diff |
| v2026-02-24 | 2026-08-26 | df16b1c | 13,208 B | A | view · diff |
| v2026-02-24 | 2026-08-26 | f034f52 | 12,946 B | A | view · diff |
| v2026-02-24 | 2026-07-21 | 427b81a | 12,728 B | A | view · diff |
| v2026-02-24 | 2026-07-01 | ea05d25 | 12,732 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12106 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
xpozpublic/xpoz-agent-skills · 16 stars · license MIT · pushed 2026-09-09 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vxkqk4fq6cn4egn6 GET https://markdownregistry.com/api/v1/resolve?ref=xpozpublic/xpoz-agent-skills/social-sentiment-analyzer GET https://markdownregistry.com/api/v1/blob/d59053be8b30448415a93b2b7b89c3428ed86cf8005d595e1835d6626faa871d
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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