influencer SKILL.md skillA

influencer from vellum-ai/vellum-assistant is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add vellum-ai/vellum-assistant/influencer@git:20260903.5802532

Pins git:20260903.5802532 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
vellum-ai/vellum-assistant
Path
skills/influencer/SKILL.md
Versions recorded
5
Latest version
git:20260903.5802532, committed Sep 3, 2026
First version recorded
Apr 10, 2026
Size
3,927 bytes
Repository stars
1,467
License
MIT

Research influencers on Instagram, TikTok, and X/Twitter through your browser.

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

Use browser automation for collection and `host_bash` helper scripts for deterministic parsing, scoring, and comparison. All browser operations are executed through the `assistant browser` CLI, invoked via `host_bash`.

## Required tools

- `host_bash` for `assistant browser` CLI commands and helper scripts in `scripts/`.

## Step graph (state machine)

### Step 1: Route intent

Use deterministic routing when intent is unclear:

```bash
bun {baseDir}/scripts/influencer-intent.ts --request "<latest user request>" --has-candidates <true|false> --has-shortlist <true|false>
```

Use returned `step` to route to `discover`, `enrich_profile`, or `compare_shortlist`.

### Step 2: Discover candidates (`discover`)

#### Instagram

1. Navigate to keyword search/post surfaces.
2. Snapshot + extract:

```bash
assistant browser --session influencer --json snapshot
assistant browser --session influencer --json extract --include-links
```

3. Parse candidates:

```bash
bun {baseDir}/scripts/influencer-parse-candidates.ts --platform instagram --input-json '<json payload with extracted text/links>'
```

#### TikTok

1. Navigate to user search page for query.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add vellum-ai/vellum-assistant/influencer@sha256:006a7c4e3bffd7eb

The line at the top of this page pins the label git:20260903.5802532, 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_d6773lylb7ake35c.svg)](https://markdownregistry.com/a/art_d6773lylb7ake35c)

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

Versions

The registry has recorded 5 versions of this file, between Apr 10, 2026 and Sep 3, 2026, about one every 36 days.

versioncommittedcommitsizeaudit
git:20260903.5802532 latest2026-09-03 5802532 3,927 BA view · diff
git:20260603.ff934d92026-06-03 ff934d9 4,050 BA view · diff
git:20260419.c93ec582026-04-19 c93ec58 4,025 BA view · diff
git:20260418.49d16662026-04-18 49d1666 4,014 BA view · diff
git:20260410.ae90c8a2026-04-10 ae90c8a 3,778 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 (3927 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

vellum-ai/vellum-assistant · 1,467 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_d6773lylb7ake35c
GET https://markdownregistry.com/api/v1/resolve?ref=vellum-ai/vellum-assistant/influencer
GET https://markdownregistry.com/api/v1/blob/006a7c4e3bffd7eb93f4904633b56448d6e4cd2a2c1e38ba46b84bb0050179f2

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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Every file in vellum-ai/vellum-assistant

Other files named influencer

influencer SKILL.md skill
vargasjr-dev/mycadet-temp · skills/influencer/SKILL.md · Research influencers on Instagram, TikTok, and X/Twitter through your browser
git:20261007.bec8222 · audit A · 47 stars

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