SKILLEMALL.ai
GitHub ↗ RU Sign in

BF wechat-to-obsidian

把一篇微信公众号文章（mp.weixin.qq.com 链接）抓取并转换为本地 Markdown，同时把正文图片下载到本地 images/ 目录，存入用户的 Obsidian 笔记库。当用户发来微信公众号文章链接，并表达「存一下 / 保存到笔记 / 转成 Markdown / 剪藏到 Obsidian / 保存到知识库」等意图时使用。

ClawHub Agent Skills author: 下辈子要饭也不做程序员 v0.1.0 MIT-0 2 files body ≈ 706 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 33/100 · Will not run — References files that are not bundled: images/图片名, scripts/wechat_to_obsidian.py, templates/output-template.md

ReferenceObsidianInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: images/图片名, scripts/wechat_to_obsidian.py, templates/output-template.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: images/图片名
  • warning missing-ref reference to a missing file: scripts/wechat_to_obsidian.py
  • warning missing-ref reference to a missing file: templates/output-template.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: images/图片名, scripts/wechat_to_obsidian.py, templates/output-template.md
  • 0Tools and files. 3 referenced file(s) missing: images/图片名, scripts/wechat_to_obsidian.py, templates/output-template.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 706 tokens
  • low The response is described with custom markup (3 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 168: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill clearly aims to save user-requested WeChat articles into an Obsidian vault, with local file creation and image downloads disclosed as part of that purpose.
LLM: benign (high) · VirusTotal: · 18 Jul 2026