FuncWei/dsh-wechat-mp-studio

dsh-wechat-mp-studio

WeChat Official Account content studio for DeepSeek Harness

The first open-source plugin to package the anti-“low creativity” playbook for WeChat Official Account (公众号) content production — distilled from a real account that got flagged by the platform, went through remediation, and recovered. Not theory.

The problem

Recurring-content accounts (morning greetings, goodnight wishes, solar-term cards, homilies, blessing cards…) rarely fail because they “write badly”. They fail because the platform flags them as low creativity and turns off public recommendation. The platform scores a combination of signals — category × format × frequency × fixed phrases:

• The same greeting text on every image, the same title prefix, the same hashtags, day after day;
• Multiple near-duplicate posts per day cannibalizing each other;
• Templated structure: five posts with the same skeleton = low-creativity signal.

This plugin provides an executable anti-homogenization production pipeline: structure-signature rotation, the “daily delta” test, a visual baseline for blessing images, OCR acceptance for on-image text, interaction rules, and draft-box sync — including measured parameters for the xiaolvshu (newspic) internal web API.

What’s inside

Install

# From GitHub (recommended: source is auditable)
dsh plugin --profile web add github:FuncWei/dsh-wechat-mp-studio

# Or from npm once published
dsh plugin --profile web add dsh-wechat-mp-studio

After install, the model loads the wechat-mp-studio skill on demand (when writing MP content, generating images, syncing drafts, or debugging low-creativity flags). You can also invoke it explicitly: “use wechat-mp-studio to draft today’s post”.

Usage

1. Write: tell the model your account positioning (audience / persona / monetization) and let the pipeline produce copy + a structure signature.
2. Generate images: python3 skills/wechat-mp-studio/scripts/generate_images.py cover --text "<today's blessing>" --anchor "<subject>" (set IMAGE_API_KEY to a gpt-image-compatible endpoint).
3. Verify: python3 skills/wechat-mp-studio/scripts/ocr_verify.py --image cover.png --expected "<today's blessing>".
4. Sync draft: follow references/xiaolvshu-web-api.md to push to the draft box (drafts only — publishing stays human-confirmed).
5. Log: append one row each to the structure log and image log; the next post reads them for anti-recency selection.

Layout

skills/wechat-mp-studio/
├── SKILL.md                              # Entry: eight-step pipeline + red-line checklist
├── references/
│   ├── anti-homogenization.md            # Rotation writing method
│   ├── low-creativity-recovery.md        # Low-creativity remediation playbook
│   ├── visual-baseline.md                # Blessing-image visual baseline
│   ├── gpt-image-2-prompts.md            # Image prompts, anti-typo rules, OCR SOP
│   ├── xiaolvshu-web-api.md              # Measured xiaolvshu draft web API
│   └── interaction-and-hooks.md          # Interaction guide & share hooks
├── scripts/
│   ├── generate_images.py                # Cover/post image generation (templates built in)
│   └── ocr_verify.py                     # On-image text OCR acceptance (dual backends)
└── templates/
    ├── structure-log.md                  # Structure log template
    └── image-log.md                      # Image log template

Disclaimer

• The WeChat MP web APIs (operate_appmsg, etc.) are internal, undocumented, and subject to change at any time. The parameters here are a point-in-time measurement; re-verify per §4 of references/xiaolvshu-web-api.md before use.
• This plugin ships methodology and tooling, not guaranteed traffic. Follow platform rules and local regulations.
• Third-party services (gpt-image, MiniMax, OpenCode Go) used by the scripts require your own keys/quota.

License

MIT