apify-audience-analysis SKILL.md skillA
apify-audience-analysis from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/apify-audience-analysis@git:20260906.7d37dc9Pins git:20260906.7d37dc9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/apify-audience-analysis/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260906.7d37dc9, committed Sep 6, 2026
- First version recorded
- Jul 7, 2026
- Size
- 5,318 bytes
- Repository stars
- 87
- License
- MIT
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
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
# Audience Analysis Analyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms. ## When to Use - You need audience demographics, engagement patterns, or follower behavior from social platforms. - The task is to choose and run Apify Actors for audience analysis across Facebook, Instagram, YouTube, or TikTok. - You need structured extraction plus a summarized interpretation of audience findings. ## Prerequisites (No need to check it upfront) - `.env` file with `APIFY_TOKEN` - Node.js 20.6+ (for native `--env-file` support) - `mcpc` CLI tool: `npm install -g @apify/mcpc` ## Workflow Copy this checklist and track progress: ``` Task Progress: - [ ] Step 1: Identify audience analysis type (select Actor) - [ ] Step 2: Fetch Actor schema via mcpc - [ ] Step 3: Ask user preferences (format, filename) - [ ] Step 4: Run the analysis script - [ ] Step 5: Summarize findings ``` ### Step 1: Identify Audience Analysis Type Select the appropriate Actor based on analysis needs: | User Need | Actor ID | Best For | |-----------|----------|----------| …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/apify-audience-analysis@sha256:b85a5c534a33c603The line at the top of this page pins the label git:20260906.7d37dc9, 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_u3pln2utrrolnvom)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 7, 2026 and Sep 6, 2026, about one every 30 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260906.7d37dc9 latest | 2026-09-06 | 7d37dc9 | 5,318 B | A | view · diff |
| git:20260730.90257ed | 2026-07-30 | 90257ed | 5,293 B | A | view · diff |
| git:20260707.168343c | 2026-07-07 | 168343c | 5,292 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 (5318 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
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_u3pln2utrrolnvom GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/apify-audience-analysis GET https://markdownregistry.com/api/v1/blob/b85a5c534a33c603e39f9543dbfe17220766a6d0c47c0a6b4a774ca86426c9fc
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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