ig-hook-extractor
Reverse-engineer the hook from a viral Instagram Reel or carousel, given a URL or a pasted caption. Identifies which of the 10 canonical 2026 formulas it uses (number-first, contrarian, relatable, confession, listicle, before/after, myth-buster, framework, pattern-interrupt Reel,
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sergebulaev/instagram-skills --skill ig-hook-extractor
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
17
59/100 Quality · 76/100 Trust
Coverage tags
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA 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.
Stars
17 GitHub stars
Repo activity
17 stars, 1 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add sergebulaev/instagram-skills --skill ig-hook-extractor
Install safety
standard package or runtime install path
Permission surface
filesystem or document 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.
Suited tasks
- Document processing workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Read uploaded files
Suited agents
Install decision
- Command
- npx skills add sergebulaev/instagram-skills --skill ig-hook-extractor
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 68/100
- Audit
- 78/100
- 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-hook-extractorDo 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
- Quality score needs review
Alternative
Code Review
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
Grill With Docs
164.7K Stars
npx skills add mattpocock/skills --skill grill-with-docs
Alternative
To Spec
164.7K Stars
npx skills add mattpocock/skills --skill to-spec
Alternative
To Tickets
176.7K Stars
npx skills add mattpocock/skills --skill to-tickets
Agent safety v2
62/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- 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.
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-hook-extractorAgent 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 JSON
/api/agent/resolve?task=Use%20ig-hook-extractor%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ig-hook-extractor%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sergebulaev-ig-hook-extractor/install
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-hook-extractor in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ig-hook-extractor%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sergebulaev-ig-hook-extractor/install
Install command: npx skills add sergebulaev/instagram-skills --skill ig-hook-extractor
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.
Install handoff
/api/skills/sergebulaev-ig-hook-extractor/install
LLM text format
/api/skills/sergebulaev-ig-hook-extractor/install?format=text
Find alternatives
/api/skills/search?q=ig-hook-extractor&limit=3
Agent prompt
Use ig-hook-extractor for this task. Review https://www.openagentskill.com/api/skills/sergebulaev-ig-hook-extractor/install, then install with: npx skills add sergebulaev/instagram-skills --skill ig-hook-extractorRegistry 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.
Manifest
/api/registry/manifest/sergebulaev-ig-hook-extractor
LLM text
/api/registry/manifest/sergebulaev-ig-hook-extractor?format=text
Install alias
/api/registry/install/sergebulaev-ig-hook-extractor
Recommend
/api/registry/recommend?task=Use%20ig-hook-extractor%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Document processing
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Document processing
Trust label
Prototype first
Install path
Command ready
Use when
- Document processing 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
- 1Install it in a sandbox agent and run one Document processing task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
GitHub adoption
FIX17 GitHub stars
Stars/forks activity
FIX17 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
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.
Workflow fit
Use this skill in these scenarios
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
Overview
--- name: ig-hook-extractor description: Reverse-engineer the hook from a viral Instagram Reel or carousel, given a URL or a pasted caption. Identifies which of the 10 canonical 2026 formulas it uses (number-first, contrarian, relatable, confession, listicle, before/after, myth-buster, framework, pattern-interrupt Reel, how-I Reel), explains why it worked, names the primary goal, and returns a blank template mapped to your topic. Use to learn from a post you admire. Not for writing your own (use ig-caption-writer or ig-carousel-planner). ---
# Instagram Hook Extractor
Paste a viral Reel or carousel URL (or the caption text). Get back: which hook formula it uses, the exact structure, why it worked, the primary goal it chased, and a blank template you can fill with your own voice.
## When to use
- User finds a viral Reel or carousel they want to study - User wants to replicate a specific creator's pattern - Before `ig-caption-writer` or `ig-carousel-planner`, to seed a draft with a proven shape
## Input
An Instagram URL (`/p/`, `/reel/`, or a profile) or pasted caption + slide text. This bundle has no built-in Instagram reader, so for a URL the skill asks the user to paste the caption (and the on-image slide text for a carousel, or a quick description of the Reel's first 3 seconds).
## Output
- **Formula identified** (IG1-IG10 from `../../references/hook-formulas.md`) with a confidence score - **Surface:** single image, carousel, or Reel, and why that surface fit the idea - **Structural breakdown:** - The hook (caption first 125 chars / carousel slide 1 / Reel first 3 seconds) - Body architecture (per-slide roles for a carousel; beat order for a Reel) - The close (what earns the save, send, or follow) - Reaction-triggering devices (numbers, named entities, the open loop) - **Primary goal** the original chased (saves / shares / comments / follows) - **Why it worked** psychologically and algorithmically - **Blank template** with `{slot}` markers matched to the original, ready for the user's topic - **Cautions:** anything in the original that would fail a 2026 audit (em dashes, AI vocab, 30 hashtags, mixed media)
## Steps
1. **Parse the URL.** `lib.url_parser.parse_instagram_url(url)` returns `username`, `shortcode`, `url_type`. 2. **Get the content.** Ask the user to paste the caption, and for a carousel the slide text, or for a Reel the first 3 seconds (on-screen text + opening line). (If they later wire an Apify Instagram actor, read it automatically.) 3. **Detect the surface.** Single image, carousel, or Reel. 4. **Classify against the 10 formulas** using features: - Caption: an odd-precision result (IG1)? a contrarian claim (IG2)? a relatable moment (IG3)? a first-person confession (IG4)? - Carousel: a numbered teaching list (IG5)? a before/after (IG6)? a myth/truth structure (IG7)? a named framework (IG8)? - Reel: a pattern interrupt in the first seconds (IG9)? a "how I" teardown (IG10)? 5. **Score confidence.** If two formulas fit, return the top 2 with fit scores. 6. **Extract structure.** Label each part by its role. For a carousel, map slide 1 (the loop), the front-loaded value, and the payoff slide. 7. **Name the primary goal** the original optimized for. 8. **Generate a blank template** with `{slot}` markers matched to the original shape and the user's topic. 9. **Audit the source.** Flag any AI tells so the user does not copy them.
## Example
See `references/examples.md` for worked teardowns.
## Formulas reference
See `../../references/hook-formulas.md` for the 10 canonical Instagram formulas with full skeletons and goal tags.
## Files
- `SKILL.md` - this file - `references/classification-rules.md` - feature extraction + scoring heuristics - `references/examples.md` - worked teardowns (caption, carousel, Reel)
## Related skills
- `ig-caption-writer` - use the extracted caption template to draft your own - `ig-carousel-planner` - use the extracted carousel template - `ig-humanizer --mode audit` - audit your draft before shipping
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 22, 2026
- Published
- Aug 22, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 86/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for ig-hook-extractor, ready for a manual X post.
ig-hook-extractor: Reverse-engineer the hook from a viral Instagram Reel or carousel, given a URL or a pasted ca... 17 stars https://www.openagentskill.com/skills/sergebulaev-ig-hook-extractor?ref=x
Optional reply with install command
Listing + install path for ig-hook-extractor: https://www.openagentskill.com/skills/sergebulaev-ig-hook-extractor?ref=x Install: npx skills add sergebulaev/instagram-skills --skill ig-hook-extractor
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- sergebulaev
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/sergebulaev-ig-hook-extractor)
[](https://www.openagentskill.com/skills/sergebulaev-ig-hook-extractor)
[](https://www.openagentskill.com/skills/sergebulaev-ig-hook-extractor/audit)
[](https://www.openagentskill.com/skills/sergebulaev-ig-hook-extractor)Author
sergebulaev
@sergebulaev
Tags
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
- 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 riskno major dependency risk hints in public metadataPASS
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