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suppress-global-unsubscribes抑制全局退订

Agent Skill

suppress-global-unsubscribes 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

194

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:suppress-global-unsubscribes(抑制全局退订)
来源仓库:https://github.com/tomgranot/hubspot-admin-skills
仓库路径:skills/suppress-global-unsubscribes
安装命令:
npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill suppress-global-unsubscribes
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill suppress-global-unsubscribes

简介

suppress-global-unsubscribes 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景进行信息检索的场景,如邮件列表管理或订阅服务。
  • 通过关键词输入和来源仓库筛选,Agent 可返回结构化候选结果供进一步处理。
  • 安装前需确认权限范围和维护状态,注意是否触发联网或文件读写操作。
  • 建议结合原始 README 核验具体用法,避免直接使用未经验证的输出结论。

SKILL.md

Suppress Globally Unsubscribed Contacts

Purpose

Contacts who have globally unsubscribed cannot legally be sent marketing emails under CAN-SPAM, GDPR, or CASL. Despite this, they may still be classified as "marketing contacts" in HubSpot, meaning the organization is paying for contacts it cannot and must not email. This skill identifies all globally unsubscribed contacts, analyzes their lifecycle distribution, and guides suppression.

Prerequisites

  • A HubSpot private app access token with crm.objects.contacts.read and crm.lists.read/crm.lists.write scopes
  • Python 3.10+ with uv for package management
  • A .env file containing HUBSPOT_ACCESS_TOKEN
  • Super Admin or Marketing Hub Admin permissions for the manual UI suppression step

Key Constraint

hs_marketable_status is read-only via the API. The API handles discovery and audit. Actual suppression must happen in the HubSpot UI.

Execution Pattern

This skill follows a 4-stage execution pattern: Plan -> Before State -> Execute -> After State.

Stage 1: Plan

Before writing any code, confirm with the user:

  1. Do not re-subscribe anyone. Even if the unsubscribe pattern looks like a batch import error, re-subscribing contacts without explicit consent violates CAN-SPAM and GDPR.
  2. Billing impact: Non-marketing status changes take effect at the start of the next billing cycle.
  3. Investigate uniform patterns: If all subscription types show nearly identical unsubscribe counts, this suggests a batch event (migration, import error, compliance sweep) rather than organic opt-outs. Understanding the origin prevents recurrence.

Stage 2: Before State

Count globally unsubscribed contacts, break down by lifecycle stage, and generate an audit CSV.

"""
Before State: Count globally unsubscribed contacts.
Note: >10K results means the Search API pagination limit may apply.
Uses count-only queries and segmented exports.
"""
import os
import csv
import time
import requests
from dotenv import load_dotenv

load_dotenv()

TOKEN = os.environ["HUBSPOT_ACCESS_TOKEN"]
BASE = "https://api.hubapi.com"
headers = {
    "Authorization": f"Bearer {TOKEN}",
    "Content-Type": "application/json",
}

url = f"{BASE}/crm/v3/objects/contacts/search"

# --- Step 1: Total count ---
resp = requests.post(url, headers=headers, json={
    "filterGroups": [{"filters": [
        {"propertyName": "hs_email_optout", "operator": "EQ", "value": "true"}
    ]}],
    "limit": 1,
})
resp.raise_for_status()
total_unsubscribed = resp.json().get("total", 0)
print(f"Total globally unsubscribed: {total_unsubscribed}")

# --- Step 2: How many are still marketing? ---
resp2 = requests.post(url, headers=headers, json={
    "filterGroups": [{"filters": [
        {"propertyName": "hs_email_optout", "operator": "EQ", "value": "true"},
        {"propertyName": "hs_marketable_status", "operator": "EQ", "value": "true"},
    ]}],
    "limit": 1,
})
resp2.raise_for_status()
still_marketing = resp2.json().get("total", 0)
already_non_marketing = total_unsubscribed - still_marketing

print(f"Still marketing (need suppression): {still_marketing}")
print(f"Already non-marketing: {already_non_marketing}")

# --- Step 3: Lifecycle stage breakdown ---
print("\nLifecycle stage breakdown:")
stages = [
    "lead", "subscriber", "marketingqualifiedlead",
    "salesqualifiedlead", "opportunity", "customer",
    "evangelist", "other",
]

for stage in stages:
    resp_s = requests.post(url, headers=headers, json={
        "filterGroups": [{"filters": [
            {"propertyName": "hs_email_optout", "operator": "EQ", "value": "true"},
            {"propertyName": "lifecyclestage", "operator": "EQ", "value": stage},
        ]}],
        "limit": 1,
    })
    if resp_s.status_code == 200:
        count = resp_s.json().get("total", 0)
        if count > 0:
            print(f"  {stage}: {count}")
    time.sleep(0.1)

# Check contacts with no lifecycle stage
resp_empty = requests.post(url, headers=headers, json={
    "filterGroups": [{"filters": [
        {"propertyName": "hs_email_optout", "operator": "EQ", "value": "true"},
        {"propertyName": "lifecyclestage", "operator": "NOT_HAS_PROPERTY"},
    ]}],
    "limit": 1,
})
if resp_empty.status_code == 200:
    empty_count = resp_empty.json().get("total", 0)
    if empty_count > 0:
        print(f"  (no lifecycle stage): {empty_count}")

CRITICAL: API pagination limit. The HubSpot CRM Search API caps at 10,000 results per query. For larger sets, use segmented queries to get complete exports.

# --- Step 4: Export CSV using segmented queries ---
# If total > 10K, segment by lifecycle stage to bypass the pagination cap.

PROPS = [
    "email", "firstname", "lastname", "hs_email_optout",
    "hs_marketable_status", "lifecyclestage", "createdate",
]

all_contacts = []

if total_unsubscribed <= 10000:
    # Simple pagination
    segments = [(None, None)]  # No lifecycle filter needed
else:
    # Segment by lifecycle stage to keep each under 10K
    segments = [
        ("lifecyclestage", "lead"),
        ("lifecyclestage", "subscriber"),
        ("lifecyclestage", "marketingqualifiedlead"),
        ("lifecyclestage", "salesqualifiedlead"),
        ("lifecyclestage", "opportunity"),
        ("lifecyclestage", "customer"),
        ("lifecyclestage", "evangelist"),
        ("lifecyclestage", "other"),
        ("lifecyclestage", None),  # NOT_HAS_PROPERTY
    ]

for seg_prop, seg_value in segments:
    after = None
    seg_filters = [
        {"propertyName": "hs_email_optout", "operator": "EQ", "value": "true"},
    ]
    if seg_prop and seg_value:
        seg_filters.append(
            {"propertyName": seg_prop, "operator": "EQ", "value": seg_value}
        )
    elif seg_prop and seg_value is None:
        seg_filters.append(
            {"propertyName": seg_prop, "operator": "NOT_HAS_PROPERTY"}
        )

    while True:
        payload = {
            "filterGroups": [{"filters": seg_filters}],
            "properties": PROPS,
            "limit": 100,
        }
        if after:
            payload["after"] = after

        resp = requests.post(url, headers=headers, json=payload)
        if resp.status_code != 200:
            break

        data = resp.json()
        for contact in data.get("results", []):
            props = contact.get("properties", {})
            all_contacts.append({
                "id": contact["id"],
                "email": props.get("email", ""),
                "firstname": props.get("firstname", ""),
                "lastname": props.get("lastname", ""),
                "unsubscribed": props.get("hs_email_optout", ""),
                "marketable_status": props.get("hs_marketable_status", ""),
                "lifecycle_stage": props.get("lifecyclestage", ""),
                "createdate": props.get("createdate", ""),
            })

        paging = data.get("paging", {})
        after = paging.get("next", {}).get("after")
        if not after:
            break
        time.sleep(0.15)

# Save CSV
os.makedirs("data/audit-logs", exist_ok=True)
csv_path = "data/audit-logs/globally-unsubscribed-contacts.csv"

with open(csv_path, "w", newline="") as f:
    writer = csv.DictWriter(f, fieldnames=[
        "id", "email", "firstname", "lastname",
        "unsubscribed", "marketable_status", "lifecycle_stage", "createdate",
    ])
    writer.writeheader()
    writer.writerows(all_contacts)

print(f"\nAudit CSV saved: {csv_path} ({len(all_contacts)} records)")
if len(all_contacts) < total_unsubscribed:
    print(f"Warning: {total_unsubscribed - len(all_contacts)} contacts "
          f"not captured (pagination limits)")

Present findings to the user before proceeding. Key data points:

  • Total unsubscribed contacts
  • How many are still billed as marketing (this is the actionable number)
  • Lifecycle breakdown (are any customers unsubscribed? That warrants investigation)

Stage 3: Execute

Step 3a: Create a HubSpot active list via API

"""
Execute (API part): Create a HubSpot active list for unsubscribed contacts.
"""
list_payload = {
    "name": "CLEANUP: Globally Unsubscribed",
    "objectTypeId": "0-1",
    "processingType": "DYNAMIC",
    "filterBranch": {
        "filterBranchType": "OR",
        "filterBranches": [
            {
                "filterBranchType": "AND",
                "filterBranches": [],
                "filters": [
                    {
                        "filterType": "PROPERTY",
                        "property": "hs_email_optout",
                        "operation": {
                            "operationType": "ENUMERATION",
                            "operator": "IS_EQUAL_TO",
                            "value": "true",
                        },
                    }
                ],
            }
        ],
        "filters": [],
    },
}

resp = requests.post(
    f"{BASE}/crm/v3/lists", headers=headers, json=list_payload,
)

if resp.status_code in (200, 201):
    list_data = resp.json()
    list_id = list_data.get("listId") or list_data.get("list", {}).get("listId")
    print(f"List created! ID: {list_id}")
elif resp.status_code == 409:
    print("List already exists (409 conflict). Use the existing list.")
else:
    print(f"Failed: {resp.status_code} — {resp.text[:300]}")

Step 3b: Suppress contacts in HubSpot UI

Instruct the user to perform these steps manually:

  1. Open the list "CLEANUP: Globally Unsubscribed" in HubSpot
  2. Click the checkbox in the table header row
  3. Click "Select all N contacts in this list" in the blue banner
  4. Click More > Set marketing contact status
  5. Select Set as non-marketing contact
  6. Click Confirm
  7. For large lists (10K+), HubSpot may process this in batches over several minutes

Step 3c: Keep the list active permanently

Do NOT delete this list. It is DYNAMIC and will automatically capture future unsubscribes. Recommend running this suppression process monthly or setting up a HubSpot workflow:

  • Trigger: Unsubscribed from all email is equal to True
  • Action: Set marketing contact status to non-marketing

Stage 4: After State

Re-run the Before State marketing status query. The still_marketing count should be zero.

"""
After State: Verify unsubscribed contacts are suppressed.
"""
resp = requests.post(url, headers=headers, json={
    "filterGroups": [{"filters": [
        {"propertyName": "hs_email_optout", "operator": "EQ", "value": "true"},
        {"propertyName": "hs_marketable_status", "operator": "EQ", "value": "true"},
    ]}],
    "limit": 1,
})
resp.raise_for_status()
remaining = resp.json().get("total", 0)

if remaining == 0:
    print("SUCCESS: All globally unsubscribed contacts are non-marketing.")
else:
    print(f"WARNING: {remaining} unsubscribed contacts are still marketing.")

Safety Mechanisms

MechanismDetail
CSV audit trailFull export of all unsubscribed contacts before any action.
Lifecycle breakdownSurfaces unsubscribed customers for investigation before suppression.
Non-destructiveContacts are set to non-marketing, not deleted. CRM data is preserved.
Active listDYNAMIC list captures future unsubscribes automatically.
Confirmation promptAlways present findings and wait for explicit user confirmation.

Technical Gotchas

  1. API pagination limit is 10K contacts. The HubSpot CRM Search API cannot return more than 10,000 results per query, even with pagination. For datasets larger than 10K, use segmented queries -- add a secondary filter (lifecycle stage, create date range, etc.) to break the set into chunks under 10K each.
  2. hs_email_optout is the correct property. The filter is hs_email_optout EQ true. Do not confuse with subscription-type-specific opt-outs (e.g., hs_email_optout_<ID>), which are per-subscription.
  3. List API filter syntax differs from Search API. The Lists API uses operationType: "ENUMERATION" with operator: "IS_EQUAL_TO", while the Search API uses operator: "EQ". These are different APIs with different schemas.
  4. Uniform unsubscribe patterns are suspicious. If all subscription types show nearly identical counts, it indicates a batch event (import, migration, compliance sweep) rather than organic opt-outs. Flag this for the user.
  5. Do not re-subscribe contacts. Even if a batch unsubscribe was an error, the only legally compliant path is to contact them through a non-email channel and ask them to re-subscribe via an opt-in form.
  6. hs_marketable_status is read-only via API. Same constraint as suppress-hard-bounced. See that skill's gotchas for the custom-property-flag workaround.

Package Setup

uv init hubspot-cleanup
cd hubspot-cleanup
uv add requests python-dotenv

Create a .env file:

HUBSPOT_ACCESS_TOKEN=pat-na1-xxxxxxxx

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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Codex

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按下载量换算24

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敏感数据

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安装前确认

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