instagram

A read-only data guide for researching public Instagram profiles, posts, reels, comments, locations, searches, followers, and engagement. Instagram is a social platform centered on photos, videos, and short-form reels.

In plain words
What is it for?
Use it to research creators, check follower counts and engagement, find relevant posts, inspect comments and locations, and investigate possible paid partnerships.
Why use it?
It gives workflows a consistent way to locate Instagram accounts and posts and interpret their public data. It does not post, comment, or send direct messages.

Skill for Claude CodeCodex

Part of the unifapi plugin — 47 skills, 1 MCP server shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/unifapi-agent/agents/instagram
Any agent
npx skills add unifapi-agent/agents --skill instagram
Clone the repo
git clone --depth 1 https://github.com/unifapi-agent/agents

Made for: Claude Code, Codex.

Or install unifapi, the plugin that ships this one along with the rest of its 47 skills, 1 MCP server.

Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00109 $0.01561
Opus 5 $0.00055 $0.00781
Sonnet 5 $0.00022 $0.00312
Haiku 4.5 $0.00011 $0.00156

Measured 3d ago against content hash 4ab6caef03ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

instagram scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/instagram-agent/instagram/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

instagram

The deterministic read path for public Instagram data through UnifAPI. This is a Data Skill: it does not run a marketing job on its own — it names the concrete instagram/... operations, response shapes, and gotchas so any creator-first workflow (shortlisting, audience-fit, pricing context) reads from one known recipe instead of rediscovering the surface each time.

Read-only — eyes, not hands. It researches public Instagram data and returns cited records; it never posts, comments, or DMs, and UnifAPI never holds Instagram credentials.

Use the unifapi skill for live evidence

Connect once through the shared unifapi skill (OAuth MCP), then call the operations below. Profiles are keyed by {username} and posts by their {shortcode} (the URL segment) — instagram/resolve/* maps between username↔user-id and shortcode↔media-id when you need it. Keep any billing metadata so the output can state record cost.

Response contract

Single-entity endpoints return the object in data:

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

List endpoints return an array in data plus pagination:

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

When pagination.has_more is true, pass pagination.next_cursor as the next request's cursor. Always preserve billing when reporting cost.

Core operations

Need Operation
Profile by handle instagram/users/{username}
Posts / reels instagram/users/{username}/posts · .../reels
Stories / highlights instagram/users/{username}/stories · .../highlights
Followers / following instagram/users/{username}/followers · .../following
Tagged posts instagram/users/{username}/tagged-posts
Post by shortcode instagram/posts/{shortcode}
Post comments / replies instagram/posts/{shortcode}/comments
Discover instagram/search (?q=...) · instagram/explore
Location page + posts instagram/locations/{id} · instagram/locations/{id}/posts
Resolve handle/shortcode instagram/resolve/user-id · instagram/resolve/shortcode

Read the full file on GitHub · 135 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 135 lines · 109 tokens per session scan A 4ab6caef03ac

Subscribe to this mod's changes

instagram is a skill published in the GitHub repository unifapi-agent/agents (557 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 1,561 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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