maxhub-wechat
38Analyze WeChat Public Data with MaxHub
by XieWxx
Teams need reliable WeChat public data for content and account analysis. This skill queries MaxHub endpoints for Channels and Official Accounts and summarizes results.
Analyze Your Local WeChat Archive
WeChat Mac data is encrypted and difficult to search or export. This skill builds a local vault for authorized queries, exports, and summaries.
Do not auto-install this skill.
The canonical policy requires operator review before any installation action.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "wechat-local-vault" from https://skillstore.io/skills/mcncarl-wechat-local-vault.md and its manifest at https://skillstore.io/api/skills/mcncarl-wechat-local-vault/manifest. Verify the artifact. Do not auto-install. Inspect the skill and report your findings, then wait for an operator or manual installation decision.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "wechat-local-vault". Check the local vault status and show only operational details.
Expected outcome:
Using "wechat-local-vault". Summarize the selected group between May 1 and May 7.
Expected outcome:
The digest covers 246 messages across four main topics. It lists two decisions, three open questions, and the most active contributors.
Using "wechat-local-vault". Find pending customer follow-ups from the last 30 days.
Expected outcome:
Three follow-ups remain open. Each item includes the conversation date, the stated commitment, current status, and a concise reply recommendation.
The skill intentionally instruments WeChat, captures reusable cryptographic material, decrypts private databases, and exports plaintext conversation data. No application exfiltration was found, but unsafe temporary storage, plaintext keys, generated-source injection, and broad host modifications create serious local risk.
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/mcncarl-wechat-local-vault/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/mcncarl-wechat-local-vault?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/mcncarl-wechat-local-vault?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/mcncarl-wechat-local-vault/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/mcncarl-wechat-local-vault.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>mcncarl. (2026). wechat-local-vault security audit report (audit version 3) [Author version unspecified]. Skillstore. https://skillstore.io/skills/mcncarl-wechat-local-vault/audits/3@techreport{mcncarl-mcncarl-wechat-local-vault-2026,
author = {mcncarl},
title = {wechat-local-vault security audit report (audit version 3)},
institution = {Skillstore},
year = {2026},
number = {3},
url = {https://skillstore.io/skills/mcncarl-wechat-local-vault/audits/3},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "wechat-local-vault security audit report (audit version 3)"
version: "unspecified"
type: report
authors:
- name: "mcncarl"
date-released: "2026-07-11"
url: "https://skillstore.io/skills/mcncarl-wechat-local-vault/audits/3"
identifiers:
- type: other
value: "skillstore:mcncarl-wechat-local-vault:audit:3"
description: "Skillstore immutable audit report identifier"
Export one authorized conversation and analyze its timeline, tone, decisions, and follow-up items.
Create a bounded source package and summarize topics, participation, decisions, and unresolved questions.
Search authorized customer chats for commitments, unanswered questions, and recent activity within a defined period.
Check my authorized local WeChat vault status. Report available databases, missing keys, data freshness, and privacy-sensitive output locations.
Export my conversation with [contact or group] from [start date] to [end date]. Use the smallest necessary scope and save a readable report.
Build a digest source package for [group] covering [date range]. Summarize major topics, decisions, contributors, and unresolved items without exposing unnecessary messages.
Search authorized chats with [customer] for the last [period]. Identify commitments, unanswered questions, sentiment changes, and recommended follow-ups with supporting dates.
Author
mcncarlLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
c0271103e9d6ff62c5aa5b85e8fbc03aad6fc662
Maintenance freshness
7/18/2026
Usage
8 downloads ยท 1 views
File structure
๐ scripts/
๐ decrypt_all_dbs.py
๐ export_chat.py
๐ extract_keys.py
๐ list_contacts.py
๐ search_sns.py
๐ vault_cli.py
๐ wechat_digest.py
๐ README.md
๐ SKILL.md
Analyze WeChat Public Data with MaxHub
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