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Agent Skill · 研究检索

suppress-hard-bounced(抑制硬反弹)

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。

suppress-hard-bounced 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 72,323。

总安装 188周安装 8GitHub Stars 14下载 66核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/suppress-hard-bounced

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill suppres…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

suppress-hard-bounced 怎么安装?

在终端执行 npx skills add https://github.com/tomgranot/hubspot-admin-skills --skill suppress-hard-bou…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

suppress-hard-bounced 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

suppress-hard-bounced 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

suppress-hard-bounced 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

suppress-hard-bounced 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 14 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

suppress-hard-bounced 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
suppress-hard-bounced

抑制硬反弹 · 本页

18814接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

Codex

35.65%
按下载量换算24

Claude

30.03%
按下载量换算20

Cursor

18.71%
按下载量换算12

Gemini CLI

10.26%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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