apify-influencer-discovery SKILL.md skillA

apify-influencer-discovery from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add francostino/opencode-skills-collection/apify-influencer-discovery@git:20260906.7d37dc9

Pins 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-influencer-discovery/SKILL.md
Versions recorded
3
Latest version
git:20260906.7d37dc9, committed Sep 6, 2026
First version recorded
Jul 7, 2026
Size
5,039 bytes
Repository stars
87
License
MIT

Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, 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

# Influencer Discovery

Discover and analyze influencers across multiple platforms using Apify Actors.

## When to Use
- You need to discover creators or influencers for outreach, partnerships, or campaign planning.
- The task is to evaluate authenticity, engagement, niche fit, or audience signals across social platforms.
- You need Apify-based extraction plus a shortlist or summary of suitable influencer candidates.

## 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: Determine discovery source (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the discovery script
- [ ] Step 5: Summarize results
```

### Step 1: Determine Discovery Source

Select the appropriate Actor based on user needs:

| User Need | Actor ID | Best For |
|-----------|----------|----------|
| Influencer profiles | `apify/instagram-profile-scraper` | Profile metrics, bio, follower counts |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add francostino/opencode-skills-collection/apify-influencer-discovery@sha256:25d05c154fb19d1c

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_uh25tvzg4aqwn53v.svg)](https://markdownregistry.com/a/art_uh25tvzg4aqwn53v)

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.

versioncommittedcommitsizeaudit
git:20260906.7d37dc9 latest2026-09-06 7d37dc9 5,039 BA view · diff
git:20260730.90257ed2026-07-30 90257ed 5,014 BA view · diff
git:20260707.168343c2026-07-07 168343c 5,013 BA 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 (5039 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

francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_uh25tvzg4aqwn53v
GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/apify-influencer-discovery
GET https://markdownregistry.com/api/v1/blob/25d05c154fb19d1c1278baf317fea74cf7aef6e29ce80d144034dee48b1e1afb

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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