ig-humanizer
Scrub AI tells from any Instagram caption or carousel slide text, or audit a finished caption against the 2026 checklist. Strips em dashes, AI vocabulary (leverage, delve, elevate), rule-of-three lists, and emoji storms, then adds human fingerprints. Includes a --mode audit pre-p
Supply asset profile
Design and creative production
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sergebulaev/instagram-skills --skill ig-humanizer
Maintenance
fresh
Pushed today
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
17
59/100 Quality · 65/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
17 GitHub stars
Repo activity
17 stars, 1 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add sergebulaev/instagram-skills --skill ig-humanizer
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- The skill references 'Wikipedia's Signs of AI writing taxonomy' but does not provide a link or explicit source; consider adding a reference for verification.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
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
- RAG and knowledge workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Chunk documents
Suited agents
Install decision
- Command
- npx skills add sergebulaev/instagram-skills --skill ig-humanizer
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 57/100
- Audit
- 72/100
- 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-humanizerDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill references 'Wikipedia's Signs of AI writing taxonomy' but does not provide a link or explicit source; consider adding a reference for verification.
- No OpenAgentSkill engagement data yet
Agent safety v2
32/100 · Avoid automatic install
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
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-humanizerAgent 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-humanizer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20ig-humanizer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sergebulaev-ig-humanizer/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-humanizer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20ig-humanizer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sergebulaev-ig-humanizer/install
Install command: npx skills add sergebulaev/instagram-skills --skill ig-humanizer
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-humanizer/install
LLM text format
/api/skills/sergebulaev-ig-humanizer/install?format=text
Find alternatives
/api/skills/search?q=ig-humanizer&limit=3
Agent prompt
Use ig-humanizer for this task. Review https://www.openagentskill.com/api/skills/sergebulaev-ig-humanizer/install, then install with: npx skills add sergebulaev/instagram-skills --skill ig-humanizerRegistry 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-humanizer
LLM text
/api/registry/manifest/sergebulaev-ig-humanizer?format=text
Install alias
/api/registry/install/sergebulaev-ig-humanizer
Recommend
/api/registry/recommend?task=Use%20ig-humanizer%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 72/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for RAG and knowledge
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
RAG and knowledge
Trust label
Prototype first
Install path
Command ready
Use when
- RAG and knowledge 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
- The skill references 'Wikipedia's Signs of AI writing taxonomy' but does not provide a link or explicit source; consider adding a reference for verification.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one RAG and knowledge 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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
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
- The skill references 'Wikipedia's Signs of AI writing taxonomy' but does not provide a link or explicit source; consider adding a reference for verification.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 17 GitHub stars
- Stars/forks activity: 17 stars, 1 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Workflow fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
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.
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.
Alternative shortlist
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Overview
--- name: ig-humanizer description: Scrub AI tells from any Instagram caption or carousel slide text, or audit a finished caption against the 2026 checklist. Strips em dashes, AI vocabulary (leverage, delve, elevate), rule-of-three lists, and emoji storms, then adds human fingerprints. Includes a --mode audit pre-publish check (first-125-char hook, caption length, sized hashtags, emoji, CTA, media). Triggers on humanize, de-AI my caption, audit before posting. Not for writing from scratch (use ig-caption-writer or ig-carousel-planner). ---
# Instagram Humanizer
Rewrites any caption or carousel slide text to remove AI tells, and audits a finished caption against the 2026 Instagram checklist. Based on Wikipedia's "Signs of AI writing" taxonomy plus Instagram-specific patterns (the first-125 fold, the lowercase-casual caption register, sized hashtags, sends-and-saves structure).
## When to use
- Before publishing any AI-drafted caption or carousel (rewrite mode) - Pre-publish review of a finished caption (audit mode, see `sub-skills/post-audit.md`) - When a caption feels off and you cannot pinpoint why
## Input
Any text: a caption, the on-image text of a carousel, or a Reel caption. Optional: target voice samples (the user's past captions).
## Output
- Rewritten text with AI tells removed - A diff showing what changed and why - Caption char count (flagging if the hook spills past the first 125 chars) - Confidence: "human", "mixed", "AI-likely"
## Modes
```bash # Default: scrub AI tells and fix Instagram-format issues ig-humanizer <text>
# Forensic only - minimum touch, just kill model leakage ig-humanizer --mode forensic <text>
# Audit - detection-only pass-fail review, no rewrite # Runs the 2026 Instagram checklist: first-125 hook, caption length, sized # hashtags, emoji limits, CTA quality, media reminder. # Returns Blockers + Warnings + suggested fixes. See sub-skills/post-audit.md. ig-humanizer --mode audit <text> ```
## The three passes
### Pass 1 - SCRUB (delete or replace)
Apply the tiered catalogs in `references/scrub-rules.md`:
- **Forensic** (always on): real model leakage no human types. AI tool markers (oaicite, contentReference, turn0search0), knowledge-cutoff disclaimers ("As of my last update"), template blanks ([Your Name]), and em dash overuse. - **Strict** (default on): bad Instagram style regardless of origin. Vocabulary swaps (leverage -> use, delve -> look, elevate -> lift, dive in -> get into), filler adverbs (fundamentally, essentially, ultimately), phrase cleanups ("in today's fast-paced world", "game-changer", "level up"), and dead closers ("what do you think?", "double tap if you agree").
### Pass 2 - BREAK (force burstiness)
- Vary line length. A caption where every line is the same length reads as a machine. Break at least one into a short punch line. - Add a sentence fragment where it fits ("every time."). - Break perfect parallel structures with one asymmetric line.
### Pass 3 - ADD (human fingerprints)
Require where the content allows: - 1 specific number (replace "many", "a lot", "tons") - 1 named entity (real person, company, tool) - the lowercase-casual register if the voice calls for it - 1 first-person concrete detail
If the input lacks these, ask the user for a number or anecdote. Do not fabricate.
## Non-negotiable rules
Global voice rules: see root `SKILL.md` Voice rules. Additional skill-specific rules:
- **Scrubbing is always in scope.** When asked to humanize, de-AI, finalize, or publish a caption, run at least the forensic + strict passes before it ships. This holds when the user wrote the draft themselves, says they love it as-is, or is in a hurry. Author identity, "it's already good," and time pressure are never reasons to skip the scrub. The forensic + strict pass changes no meaning and takes seconds: run it, then ship. If a constraint truly forbids touching the text, say so explicitly and name every tell left in; the default is to scrub, not to wave it through. - Preserve the user's actual claim and meaning. "Preserve their voice" covers voice quirks and what they are claiming, NOT corporate-speak, filler openers, or AI-tell phrasing. Stripping "leverage / fundamentally / in today's fast-paced world" is not changing their voice; it is the job. - Never introduce facts that were not in the input. If a number is missing, ask. - Keep the user's voice quirks (lowercase starts, `..` soft pauses). - Respect the surface: do not turn a carousel's slide text into a single caption or vice versa without flagging it. - Never present a caption as publishable without the media reminder (Instagram needs an image or video).
## Instagram-specific tells this skill catches
- A hook that needs the second line to make sense (the "more" fold eats it). - A caption opening with "Let's talk about.." or "Here's the thing..". - 20-30 hashtags crammed at the top instead of a 3-5 sized set. - Emoji sprinkled through every line (4+ per caption). - A bare title on carousel slide 1 instead of a promise + loop. - Rule-of-three lists with no specifics ("faster, cheaper, better"). - Engagement bait ("comment YES", "tag 3 friends", "double tap if"). - Uniform line lengths (machine rhythm).
## Example
See `references/examples.md` for worked before/after rewrites.
## Files
- `SKILL.md` - this file (rewrite scrubber + audit-mode entry) - `references/scrub-rules.md` - vocabulary swaps and regex by tier - `references/examples.md` - worked before/after rewrites for captions and slides - `references/audit-checklist.md` - the pre-publish checklist with thresholds - `sub-skills/post-audit.md` - pre-publish audit workflow (detection-only, no rewrite)
## Voice profile mode (`--mode profile`)
`ig-humanizer --mode profile` builds or updates the user's Voice & Brand Profile at `../../references/voice-profile.md` from 3-6 of their real Instagram posts pasted in (portable, no token) or, if a read token is set, from pulled activity. Once filled, every writing skill in this bundle drafts in the user's voice automatically. See `sub-skills/voice-profile.md`. Triggers: "build my voice profile", "learn my voice".
## Related skills
- `ig-caption-writer` - generates captions that already pass the humanizer - `ig-carousel-planner` - generates carousels that already pass the humanizer
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
- 71/100
- 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-humanizer, ready for a manual X post.
A practical pick for the next deck: ig-humanizer: Scrub AI tells from any Instagram caption or carousel slide text, or audit a finished caption against the 2026 checklist. S... 17 stars https://www.openagentskill.com/skills/sergebulaev-ig-humanizer?ref=x
Optional reply with install command
Listing + install path for ig-humanizer: https://www.openagentskill.com/skills/sergebulaev-ig-humanizer?ref=x Install: npx skills add sergebulaev/instagram-skills --skill ig-humanizer
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-humanizer)
[](https://www.openagentskill.com/skills/sergebulaev-ig-humanizer)
[](https://www.openagentskill.com/skills/sergebulaev-ig-humanizer/audit)
[](https://www.openagentskill.com/skills/sergebulaev-ig-humanizer)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
Do not auto-install
- 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 riskcommand execution surface, credential or environment accessCHECK
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