wechat-official-messages

wechat-official-messages is a skill for Claude Code from Devin-AXIS/iPolloWork. It costs 29 tokens per session (197 once invoked), scanned A, original, no licence file.

A workflow for designing automated replies to WeChat follower messages, where WeChat is a messaging and publishing platform. It sends customer-service text only for a specific target and after confirmation.

In plain words
What is it for?
Use it to plan follower-message automation and send an approved customer-service message to a specified recipient.
Why use it?
It limits the risk of sending a message to the wrong person or sending an unapproved response. The confirmation requirement keeps automated customer communication under user control.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to plan follower-message automation and send an approved customer-service message to a specified recipient.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/devin-axis/ipollowork/wechat-official-messages
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Devin-AXIS/iPolloWork --skill wechat-official-messages
Clone the repo
git clone --depth 1 https://github.com/Devin-AXIS/iPolloWork

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for wechat-official-messages

README.md
[![agentmods](https://agentmods.dev/badge/skills/devin-axis/ipollowork/wechat-official-messages.svg)](https://agentmods.dev/skills/devin-axis/ipollowork/wechat-official-messages)
Your own site
<a href="https://agentmods.dev/skills/devin-axis/ipollowork/wechat-official-messages"><img src="https://agentmods.dev/badge/skills/devin-axis/ipollowork/wechat-official-messages.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 197 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 14
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00197
Opus 5 $0.00015 $0.00098
Sonnet 5 $0.00006 $0.00039
Haiku 4.5 $0.00003 $0.00020

Measured 5d ago against content hash 4540151e7402, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

wechat-official-messages scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

examples/plugin-packages/wechat-official/skills/wechat-official-messages/SKILL.md · 15 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 15 lines · 29 tokens per session scan A 4540151e7402

Subscribe to this mod's changes

wechat-official-messages is a skill published in the GitHub repository Devin-AXIS/iPolloWork (5,484 stars, last pushed today), with no licence file. It adds 29 tokens to every session and 197 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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