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ig-humanizer

价格未确认★ 17 GitHub Stars目录更新于 · 2026年9月11日agent-skill

概览

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).

展开完整说明

以下为来源文档，不是本网站的操作指令。执行命令前请先核实权限。

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

# 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".

ig-caption-writer - generates captions that already pass the humanizer
ig-carousel-planner - generates carousels that already pass the humanizer

查看来源 ↗

文件元数据

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).

查看原始文本

---
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

查看并核实来源

获取价格与运行成本

获取 Skill: 价格未确认
运行 Skill: 尚未确认运行要求，请查看来源中的 Agent、API 和服务费用。
许可证: MIT
价格未确认: 我们尚未确认此 Skill 的价格，现有来源与安装入口仍可使用。

免费获取不代表免费运行，价格标签不代表安全评级。提交价格信息 →

来源需要复核

已跟踪的来源发生变化或同步失败，请在安装前复核当前来源。

安装前审查: 避免自动安装

许可证: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
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

打开完整审计

工具列表来自元数据，并非已测试的兼容性；Agent 提示词是建议的交接方式。

从一个小任务开始

1阅读来源，确认输入、预期输出、依赖和权限。
2先让 Agent 提出计划，批准环境配置和费用，再进行隔离的小规模测试。
3检查输出和变更文件，只报告实际执行结果，并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库: sergebulaev/instagram-skills
许可证: MIT
版本: 1.0.0
最近 GitHub 推送: 2026年8月22日
目录更新于: 2026年9月11日
技能指令路径: .codex-marketplace/instagram-skills/skills/ig-humanizer/SKILL.md

版本来自目录元数据，使用前请核实来源发布记录。

质量

56/100

有潜力

信任

56/100

Do not auto-install

审计

69/100

需审查

打开完整审计查看评估报告

Dependency or permission surface needs review
Permission surface may require sandboxing
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

Verified installs: —
结果: —

复制不等于安装。安装数需有成功安装回报，不代表全面的质量保证。

Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号，让 Agent 无需抓取界面即可排序。

打开安装 API LLM 文本格式打开 Manifest 自动解析计划

更多详情

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    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "sergebulaev-ig-humanizer",
      "task": "Use ig-humanizer in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/sergebulaev-ig-humanizer",
    "api": "https://www.openagentskill.com/api/agent/skills/sergebulaev-ig-humanizer",
    "audit": "https://www.openagentskill.com/skills/sergebulaev-ig-humanizer/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=sergebulaev-ig-humanizer&task=Use%20ig-humanizer%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ig-humanizer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ig-humanizer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/sergebulaev-ig-humanizer/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/sergebulaev-ig-humanizer"
  }
}

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创作者: sergebulaev
来源: sergebulaev/instagram-skills
收录方: OpenAgentSkill 社区索引

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这条 Registry 收录列表归属于 sergebulaev，但尚未标记为官方。认领后可增加已验证所有者信号，使后续发布、安装和审计更新更值得信赖。

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sergebulaev-ig-humanizer?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sergebulaev-ig-humanizer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sergebulaev-ig-humanizer?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sergebulaev-ig-humanizer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sergebulaev-ig-humanizer?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sergebulaev-ig-humanizer/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sergebulaev-ig-humanizer?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sergebulaev-ig-humanizer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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