ig-audience-insights

REVIEW · 65
Registry indexed

Read your Instagram niche and profile from real data via Apify, no login. Scan a hashtag for the posts traveling now (likes, comments, owner) to see the format and hook that works. Pull profile stats for any handle, yours or a competitor's: followers, posts, bio, category. Instag

Verified installs0
Stars17
Version1.0.0
Quality59/100 · Promising
Trust65/100 · Sandbox only
Audit77/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add sergebulaev/instagram-skills --skill ig-audience-insights

Maintenance

fresh

Pushed today

Risk

Needs review

Low GitHub adoption signal

GitHub quality

17

59/100 Quality · 73/100 Trust

Coverage tags

ResearchResearch agentsdata-analysisagent-skill

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
59

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
65

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
77

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

17 GitHub stars

Repo activity

17 stars, 1 forks

Maintenance

Pushed today

License

MIT

Install

npx skills add sergebulaev/instagram-skills --skill ig-audience-insights

Install safety

standard package or runtime install path

Permission surface

secrets or environment access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 17 GitHub stars
  • Stars/forks activity: 17 stars, 1 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add sergebulaev/instagram-skills --skill ig-audience-insights
Policy
review
Human review
yes

Trust and risk

Trust
65/100
Audit
77/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add sergebulaev/instagram-skills --skill ig-audience-insights

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Secrets or environment access

Agent safety v2

53/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Secrets or environment access
  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sergebulaev-ig-audience-insights

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use ig-audience-insights in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ig-audience-insights%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sergebulaev-ig-audience-insights/install
Install command: npx skills add sergebulaev/instagram-skills --skill ig-audience-insights
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use ig-audience-insights for this task. Review https://www.openagentskill.com/api/skills/sergebulaev-ig-audience-insights/install, then install with: npx skills add sergebulaev/instagram-skills --skill ig-audience-insights

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

58/100

Research agents

Platforms

Claude Code

Audit report

Needs review · 77/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

58
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Research agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 59/100 quality profile

review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

65
OpenAgentSkill Trust Score

GitHub adoption

FIX

17 GitHub stars

Stars/forks activity

FIX

17 stars, 1 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 17 GitHub stars
  • Stars/forks activity: 17 stars, 1 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

59
GitHub stars
17
Freshness
Today
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: ig-audience-insights description: Read your Instagram niche and profile from real data via Apify, no login. Scan a hashtag for the posts traveling now (likes, comments, owner) to see the format and hook that works. Pull profile stats for any handle, yours or a competitor's: followers, posts, bio, category. Instagram hides who liked or commented on other accounts, so this is discovery plus profiles, not engagers. Triggers on "what works in my niche", "scan the hashtag", "competitor stats". Not for writing captions (use ig-caption-writer). ---

# Instagram Audience Insights

Turn real Instagram data into a read on what is working: which posts in your niche are traveling right now and why, and how any account (yours or a competitor's) actually performs. This is the read layer, so the skill sees real numbers instead of guessing.

One honest limit: Instagram caps and cookie-gates who **liked** or **commented** on someone else's post, so a liker or commenter roster is not reliably available for other accounts. The signal here is **niche post performance + profile stats**, which is what you can actually read on Instagram.

## When to use

- "What is working in my niche / scan the #hashtag" - "Pull the stats for this account / how big is this competitor" - "What format is traveling under this hashtag right now" - "Compare my follower count to this account"

Not for writing a caption (use `ig-caption-writer`) or planning a carousel (use `ig-carousel-planner`).

## Setup (optional)

The read layer uses **Apify** (no login, no cookies). Get a free token at `https://console.apify.com/account/integrations` and set `APIFY_TOKEN`. No token? Paste the posts or profile stats you already have and the skill runs the same analysis on them.

## Input

- A niche hashtag (with or without the `#`), a username (yours or a competitor's), or both - Optional: the goal (niche pulse / competitor read / self benchmark)

## Output

1. **Niche pulse** - the top posts under a hashtag ranked by engagement, with the pattern behind the winners (hook shape, caption length, image vs carousel vs Reel, presence of a question or a specific number) 2. **Profile read** - the stats for a handle: followers, post count, bio, category, verified and business flags 3. **Benchmark** - your account against a competitor on follower count and post cadence, normalized so a small account's breakout is not buried under a big account's average 4. **Action list** - what format to make more of, which accounts to watch, what to route to `ig-caption-writer` or `ig-carousel-planner`

## Steps

1. **Pull the data.** For a niche: `lib.ApifyClient().fetch_niche_posts(hashtag, max_items=20)`. For a profile: `fetch_profile(username)`. Falls back to pasted data if no token. 2. **Rank by engagement.** Sort the niche posts by likes + comments. Normalize against the owner's reach where known so a mega-account's average does not crowd out a small account's breakout. 3. **Extract the pattern.** For the top posts, name what they share: the hook shape (question, confession, list, data-point), the caption length, image vs carousel vs Reel, the presence of a specific number. That is the repeatable part. 4. **Read the profile.** From `fetch_profile`, report followers, post count, bio, category, and whether it is a verified business account. Use it to benchmark, not to guess private engagement. 5. **Benchmark honestly.** Compare handles on the stats Instagram exposes (followers, post count, cadence). Do not imply access to a liker or commenter list for accounts you do not own. 6. **Build the action list.** Make-more-of (the winning format), watch (specific accounts), route drafts to `ig-caption-writer` / `ig-carousel-planner`. 7. **Deliver the report** in the Output shape, with the raw ranked posts and profile stats attached.

## What the read layer exposes

| Method | Returns | |---|---| | `fetch_niche_posts(hashtag, max_items)` | top posts under a hashtag: caption, likes, comments, owner, type, url | | `fetch_profile(username)` | profile stats: username, followers, following, posts, bio, category, verified, business |

## Hard rules

Global voice rules: see root `SKILL.md` Voice rules. Additional skill-specific rules:

- Be honest that Instagram hides **who liked or commented** on other accounts. This is **niche discovery + profile stats**, not a liker or engager roster. Do not imply otherwise. - **Normalize by follower count** before calling a post a winner, or you extract "big account" effects, not "good post" effects. - Never invent a post, a number, or a pattern. If a hashtag returns thin, say so and try an adjacent tag or pull known accounts. - A pattern is only a pattern if it recurs across several top posts, not one.

## Related skills

- `ig-caption-writer` - write more of what the niche data shows is working - `ig-carousel-planner` - turn a winning format into a slide plan - `ig-hook-extractor` - reverse-engineer the hook from a top-performing post - `ig-hashtag-strategist` - size the hashtag set around the tags that are traveling - `ig-content-planner` - feed the winning patterns into a weekly plan

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 22, 2026
Published
Aug 22, 2026

Decision snapshot

Fallback candidate

58
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

77
Needs review
Security
82/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for ig-audience-insights, ready for a manual X post.

Curator note
ig-audience-insights: Read your Instagram niche and profile from real data via Apify, no login. Scan a hashtag for...

17 stars

https://www.openagentskill.com/skills/sergebulaev-ig-audience-insights?ref=x
Open X draft
Optional reply with install command
Listing + install path for ig-audience-insights:
https://www.openagentskill.com/skills/sergebulaev-ig-audience-insights?ref=x

Install: npx skills add sergebulaev/instagram-skills --skill ig-audience-insights

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

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Owner claim

Claim this skill listing

This Registry indexed listing is attributed to sergebulaev but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

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Author

S

sergebulaev

@sergebulaev

Platform fit

Health signals

GitHub stars
17
Quality score
32/100
Last GitHub push
Aug 22, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

65
  • GitHub adoption17 GitHub starsFIX
  • Stars/forks activity17 stars, 1 forks; issue activity unavailable in current metadataFIX
  • Recent maintenancePushed todayPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcredential or environment accessINFO