openakita/skills@wecom-cli

openakita/skills@wecom-cli is a skill for Codex from openakita/openakita. It costs 70 tokens per session (1,002 once invoked), scanned A, original, AGPL-3.0.

A command-line tool for WeCom, the business version of WeChat, covering workplace contacts, tasks, meetings, messages, schedules, documents, and spreadsheets.

In plain words
What is it for?
Use it to manage WeCom contacts, todos, meetings, messages, schedules, documents, and smartsheets.
Why use it?
It lets a coding agent work with WeCom information and actions from the command line rather than through the application interface.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to manage WeCom contacts, todos, meetings, messages, schedules, documents, and smartsheets.

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Install with agentmods
npx agentmods add skills/openakita/openakita/wecom-cli
About the project

OpenAkita is an open-source framework for building an AI assistant made of multiple collaborating agents, plugins, tools, and sandboxed workflows. It is used to automate tasks such as web searches, computer operation, file management, scheduled jobs, and messaging across supported chat platforms. The catalogue entries are skills, rules, agents, and instructions that define or extend its workflows.

openakita/openakita · 1,979 stars · on GitHub · openakita.ai

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 openakita/openakita --skill wecom-cli
Clone the repo
git clone --depth 1 https://github.com/openakita/openakita

Made for: Codex.

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 openakita/skills@wecom-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/openakita/openakita/wecom-cli.svg)](https://agentmods.dev/skills/openakita/openakita/wecom-cli)
Your own site
<a href="https://agentmods.dev/skills/openakita/openakita/wecom-cli"><img src="https://agentmods.dev/badge/skills/openakita/openakita/wecom-cli.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,002 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 medium

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 →

  • medium MCP Rug Pull · line 24
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00070 $0.01002
Opus 5 $0.00035 $0.00501
Sonnet 5 $0.00014 $0.00200
Haiku 4.5 $0.00007 $0.00100

Measured 4d ago against content hash df05b02f2853, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

openakita/skills@wecom-cli 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 4d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/setup.py, scripts/wecom_quick.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/wecom-cli/SKILL.md · 113 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 113 lines · 70 tokens per session scan A df05b02f2853

Subscribe to this mod's changes

openakita/skills@wecom-cli is a skill published in the GitHub repository openakita/openakita (1,979 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 70 tokens to every session and 1,002 once invoked, about $0.0003 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.