FuncWei
dsh-wechat-mp-studio
微信公众号内容生产工作台:防低创作度结构轮换写作法 + 视觉基线 + gpt-image 配图管线 + OCR 验收 + 小绿书草稿接口实测 (DeepSeek Harness plugin)
- Stars
- 0
- Language
- Python
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026
Introduction
dsh-wechat-mp-studio
WeChat Official Account content studio for DeepSeek Harness
中文 | English
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
| Capability | Details |
|---|---|
| Rotation writing method | Six-variable structure signatures, anti-recency selection, six anti-homogenization self-checks, anti-AI-slop language rules |
| Daily delta test | Delete test / replace test, seven rotating “conversation starter” sources |
| Low-creativity remediation | Root-cause analysis, remediation direction, recovery cadence, filter rules for common advice (de-identified) |
| Visual baseline | Quantified “festive at a glance, clear on second look, credible on third” standard + 8 acceptance checks |
| Image pipeline | Native 2.35:1 cover prompt template, anti-typo rules for on-image Chinese text, OCR acceptance SOP, troubleshooting |
| Interaction guide | One primary call-to-action (+ at most one secondary), fixed comment prompts, red lines, closing three-part formula |
| Publishing | Measured xiaolvshu (newspic) draft web API: upload scene=5, full operate_appmsg type=77 form + format switches |
| Scripts | generate_images.py (templated image generation), ocr_verify.py (macOS Vision / MiniMax M3 dual backends) |
| Log templates | Structure log and image log templates (the rotation ledger) |
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
- Write: tell the model your account positioning (audience / persona / monetization) and let the pipeline produce copy + a structure signature.
- Generate images:
python3 skills/wechat-mp-studio/scripts/generate_images.py cover --text "<today's blessing>" --anchor "<subject>"(setIMAGE_API_KEYto a gpt-image-compatible endpoint). - Verify:
python3 skills/wechat-mp-studio/scripts/ocr_verify.py --image cover.png --expected "<today's blessing>". - Sync draft: follow
references/xiaolvshu-web-api.mdto push to the draft box (drafts only — publishing stays human-confirmed). - 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 ofreferences/xiaolvshu-web-api.mdbefore 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.