wxa-ai-mode-dev

wxa-ai-mode-dev is a skill for Claude Code, Codex from TencentCloudBase/mp-skills. It costs 95 tokens per session (4,743 once invoked), scanned A, original, no licence file.

A beta guide for building an AI development mode for WeChat Mini Programs, which are small apps that run inside WeChat. It covers the required files, project structure, data formats, text, components, and interfaces.

In plain words
What is it for?
Use it when changing a WeChat Mini Program for AI development, creating reusable skills, designing small interfaces or components, or writing SKILL.md and mcp.json files.
Why use it?
It helps developers follow the rules for connecting a Mini Program to an AI-driven development workflow without guessing how its files and data should be arranged.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

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.

agentmods
npx agentmods add skills/tencentcloudbase/mp-skills/wxa-ai-mode-dev
Any agent
npx skills add TencentCloudBase/mp-skills --skill wxa-ai-mode-dev
Clone the repo
git clone --depth 1 https://github.com/TencentCloudBase/mp-skills

Made for: Claude Code, 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 wxa-ai-mode-dev

README.md
[![agentmods](https://agentmods.dev/badge/skills/tencentcloudbase/mp-skills/wxa-ai-mode-dev.svg)](https://agentmods.dev/skills/tencentcloudbase/mp-skills/wxa-ai-mode-dev)
Your own site
<a href="https://agentmods.dev/skills/tencentcloudbase/mp-skills/wxa-ai-mode-dev"><img src="https://agentmods.dev/badge/skills/tencentcloudbase/mp-skills/wxa-ai-mode-dev.svg" alt="Measured on agentmods" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00095 $0.04743
Opus 5 $0.00048 $0.02371
Sonnet 5 $0.00019 $0.00949
Haiku 4.5 $0.00010 $0.00474

Measured 6d ago against content hash 28c7eca54835, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

wxa-ai-mode-dev 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 6d 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.

skills/wxa-ai-mode-dev/SKILL.md · 431 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 6d ago First seen · 431 lines · 95 tokens per session scan A 28c7eca54835

Subscribe to this mod's changes

wxa-ai-mode-dev is a skill published in the GitHub repository TencentCloudBase/mp-skills (9 stars, last pushed 2mo ago), with no licence file. It adds 95 tokens to every session and 4,743 once invoked, about $0.0005 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 2026-08-31.

Related

Other skills, from other repositories

datamol

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters…

synthetic-sciences/openscience · 67 tokens

clinicaltrials-database

Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.

synthetic-sciences/openscience · 47 tokens

openalex-database

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly…

synthetic-sciences/openscience · 76 tokens

langbot-deploy

Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…

langbot-app/LangBot · 104 tokens

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel…

synthetic-sciences/openscience · 86 tokens

pysam

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.

synthetic-sciences/openscience · 47 tokens