Instagram

What it does

When your agent uses it

• Tasks that involve Messaging and chat bots
• Tasks that involve Programmatic SEO

Example prompts

• “research these IG creators,”
• “pull posts for,”
• “Instagram follower count,”
• “/instagram”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

1. 1Resolve a profile. Call instagram/users/{username} for follower_count,
2. 2Read content and engagement. Call instagram/users/{username}/posts and
3. 3Read reaction. Call instagram/posts/{shortcode}/comments (and the
4. 4Discover new handles. Call instagram/search?q=...,
5. 5Map a network or audience. Call instagram/users/{username}/followers,
6. 6Cite everything. Every figure ties back to the post or profile it came

What it can do on your machine

Read from SKILL.md and the folder at commit fb53247. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are json and markdown).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Instagram loads about 1.6k tokens when it runs. Until then it costs about 128 tokens; SKILL.md has 548 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~128

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 548 words, ~1,607 tokens.

name

instagram

description

When a workflow needs public Instagram data through UnifAPI — profiles and follower size, posts and reels with engagement, post comments, location pages, or search. Also use on "research these IG creators," "pull posts for," "Instagram follower count," "comments on this post," "is this a paid partnership," or when another skill (KOL pricing, creator shortlist, audience fit) needs the deterministic Instagram read path. Connect via the `unifapi` skill first. Read-only research, never posts or DMs.

license

MIT

metadata.author

UnifAPI

metadata.version

1.0.0

metadata.homepage

https://unifapi.com/agents/instagram

metadata.source

https://github.com/unifapi-agent/agents

{
  "request_id": "unif_...",
  "data": {},
  "billing": { "records_charged": 1, "balance_remaining": 99 }
}

{
  "request_id": "unif_...",
  "data": [],
  "pagination": { "has_more": false, "next_cursor": null },
  "billing": { "records_charged": 1 }
}

**@handle** — {followers} followers, {media} posts, verified {yes/no}. Recent posts: avg {likes} likes / {comments} comments. Paid partnerships: {N}. Evidence: {post URLs}. Records: ~{N}.

© unifapi-agent, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/instagram-agent/instagram of unifapi-agent/agents.

• SKILL.md
• README.md

Open the folder on GitHubat commit fb53247