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suppress-hard-bounced抑制硬反弹

Agent Skill

suppress-hard-bounced 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。

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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

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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-hard-bounced(抑制硬反弹)
来源仓库:https://github.com/tomgranot/hubspot-admin-skills
仓库路径:skills/suppress-hard-bounced
安装命令:
npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill suppress-hard-bounced
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-hard-bounced

简介

suppress-hard-bounced 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,如邮件投递监控或退信处理。
  • 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 Hard-Bounced Contacts

Purpose

Hard-bounced contacts have permanently undeliverable email addresses. Every email sent to them fails, wastes send volume, and actively damages sender reputation with ISPs like Gmail, Microsoft, and Yahoo. This skill identifies all hard-bounced contacts, exports an audit trail, creates a HubSpot active list for ongoing monitoring, and guides the user through manual suppression in the UI.

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. You cannot set a contact to non-marketing programmatically. The API is used for discovery, analysis, and audit trail generation. The 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. Understand the impact: Suppressed contacts remain in the CRM but stop counting toward the marketing contact billing tier. They cannot receive marketing emails.
  2. Non-marketing processing timing: HubSpot processes non-marketing status changes at the start of the next billing cycle. Billing savings are not immediate.
  3. High-bounce contacts: Contacts with 3+ bounces are the most severe reputation risk. Ask whether the user wants a separate review list for potential deletion.

Stage 2: Before State

Discover all hard-bounced contacts, break down by bounce reason, and generate an audit CSV.

"""
Before State: Count and audit hard-bounced contacts.
Creates:
  1. A HubSpot active list for ongoing monitoring
  2. A local CSV audit log of all affected contacts
"""
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: Paginated search for all hard-bounced contacts ---
search_payload = {
    "filterGroups": [
        {
            "filters": [
                {
                    "propertyName": "hs_email_hard_bounce_reason_enum",
                    "operator": "HAS_PROPERTY",
                }
            ]
        }
    ],
    "properties": [
        "email", "firstname", "lastname",
        "hs_email_hard_bounce_reason_enum",
        "hs_email_bounce", "lifecyclestage",
        "hs_marketable_status", "createdate",
    ],
    "limit": 100,
}

all_contacts = []
after = None

while True:
    payload = search_payload.copy()
    if after:
        payload["after"] = after

    resp = requests.post(url, headers=headers, json=payload)
    resp.raise_for_status()
    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", ""),
            "hard_bounce_reason": props.get("hs_email_hard_bounce_reason_enum", ""),
            "bounce_count": props.get("hs_email_bounce", ""),
            "lifecycle_stage": props.get("lifecyclestage", ""),
            "marketable_status": props.get("hs_marketable_status", ""),
            "createdate": props.get("createdate", ""),
        })

    paging = data.get("paging", {})
    after = paging.get("next", {}).get("after")
    if not after:
        break
    time.sleep(0.2)

print(f"Total hard-bounced contacts: {len(all_contacts)}")

# --- Step 2: Bounce reason breakdown ---
reasons = {}
for c in all_contacts:
    r = c["hard_bounce_reason"] or "(empty)"
    reasons[r] = reasons.get(r, 0) + 1

print("\nBounce reason breakdown:")
for reason, count in sorted(reasons.items(), key=lambda x: -x[1]):
    pct = (count / len(all_contacts) * 100) if all_contacts else 0
    print(f"  {reason}: {count} ({pct:.1f}%)")

# --- Step 3: Marketing status breakdown ---
already_non_marketing = sum(
    1 for c in all_contacts if c["marketable_status"] == "false"
)
still_marketing = len(all_contacts) - already_non_marketing
print(f"\nAlready non-marketing: {already_non_marketing}")
print(f"Still marketing (need suppression): {still_marketing}")

# --- Step 4: High-bounce contacts (3+) ---
high_bounce = [
    c for c in all_contacts
    if c["bounce_count"] and int(float(c["bounce_count"])) >= 3
]
print(f"Contacts with 3+ bounces (review for deletion): {len(high_bounce)}")

# --- Step 5: Save CSV audit log ---
os.makedirs("data/audit-logs", exist_ok=True)
csv_path = "data/audit-logs/hard-bounced-contacts.csv"

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

print(f"\nAudit log saved: {csv_path} ({len(all_contacts)} records)")

Expected output: Total count, bounce reason breakdown, marketing status split, and CSV export.

Bounce reason categories to explain to the user:

  • OTHER: Generic bounce, often a server configuration issue
  • UNKNOWN_USER: The mailbox does not exist (most common hard bounce)
  • SPAM: The receiving server flagged the message as spam -- investigate what content was sent
  • POLICY: Receiving server policy rejected delivery
  • MAILBOX_FULL: Technically a soft bounce that HubSpot escalated to hard after repeated failures

Stage 3: Execute

This is a hybrid step -- the API creates a HubSpot list, but suppression must happen in the UI.

Step 3a: Create a HubSpot active list via API

"""
Execute (API part): Create a HubSpot active list for hard-bounced contacts.
"""
list_payload = {
    "name": "CLEANUP: Hard Bounced Contacts",
    "objectTypeId": "0-1",  # contacts
    "processingType": "DYNAMIC",  # active list
    "filterBranch": {
        "filterBranchType": "OR",
        "filterBranches": [
            {
                "filterBranchType": "AND",
                "filterBranches": [],
                "filters": [
                    {
                        "filterType": "PROPERTY",
                        "property": "hs_email_hard_bounce_reason_enum",
                        "operation": {
                            "operationType": "ALL_PROPERTY",
                            "operator": "IS_KNOWN",
                        },
                    }
                ],
            }
        ],
        "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 to create list: {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: Hard Bounced Contacts" in HubSpot
  2. Click the checkbox in the table header row to select all contacts on the page
  3. Click the "Select all N contacts in this list" link in the blue banner
  4. Click More > Set marketing contact status
  5. Select Set as non-marketing contact
  6. Click Confirm

Step 3c (optional): Create a high-bounce review list

If the user wants to review contacts with 3+ bounces for potential deletion, create a second list:

# Optional: List for contacts with 3+ bounces
review_list_payload = {
    "name": "REVIEW: 3+ Bounces - Possible Delete",
    "objectTypeId": "0-1",
    "processingType": "DYNAMIC",
    "filterBranch": {
        "filterBranchType": "OR",
        "filterBranches": [
            {
                "filterBranchType": "AND",
                "filterBranches": [],
                "filters": [
                    {
                        "filterType": "PROPERTY",
                        "property": "hs_email_bounce",
                        "operation": {
                            "operationType": "NUMBER",
                            "operator": "IS_GREATER_THAN",
                            "value": 2,
                        },
                    }
                ],
            }
        ],
        "filters": [],
    },
}

Stage 4: After State

Re-run the Before State query. Compare the still_marketing count -- it should be zero (or near zero if new bounces occurred between Before and After).

"""
After State: Verify hard-bounced contacts have been suppressed.
"""
# Re-run the same search and check marketable_status
still_marketing_after = sum(
    1 for c in all_contacts_after if c["marketable_status"] != "false"
)

if still_marketing_after == 0:
    print("SUCCESS: All hard-bounced contacts are now non-marketing.")
else:
    print(f"WARNING: {still_marketing_after} hard-bounced contacts "
          f"are still marketing. Re-check the list in the UI.")

Important: Always re-measure before executing. Counts drift over time as new emails bounce.

Safety Mechanisms

MechanismDetail
CSV audit trailEvery hard-bounced contact is exported with full details before any action.
Active list for monitoringThe HubSpot list is DYNAMIC, so new hard bounces are automatically captured. Keep it active permanently.
Non-destructive suppressionContacts are moved to non-marketing status, not deleted. They remain in the CRM with full history.
Separate review listContacts with 3+ bounces are flagged in a dedicated list for deletion review, not auto-deleted.
Confirmation promptPresent Before State findings to the user and wait for explicit confirmation before creating lists or instructing UI actions.

Technical Gotchas

  1. Property name is hs_email_hard_bounce_reason_enum, not hs_email_hard_bounce_reason. The _enum suffix is required in API calls.
  2. hs_marketable_status is read-only via API. This is the single biggest constraint. There is no API endpoint to change a contact's marketing status. The only way is through the HubSpot UI or via a HubSpot workflow triggered by a custom property flag.
  3. Workaround for full automation: Create a custom contact property (e.g., suppress_marketing_flag), set it via API, then build a HubSpot workflow that triggers on that flag to set the contact as non-marketing. This adds complexity but enables end-to-end automation.
  4. Billing cycle timing: Non-marketing status changes take effect at the start of the next billing cycle. Do not expect immediate billing savings.
  5. Bounce count property: hs_email_bounce stores the count as a string that may contain decimal values (e.g., "3.0"). Always cast with int(float(value)).
  6. Keep the list active permanently. New hard bounces will occur over time. The active list captures them automatically. Run this suppression process monthly or set up a workflow.

Package Setup

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

Create a .env file:

HUBSPOT_ACCESS_TOKEN=pat-na1-xxxxxxxx

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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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