SKILLEMALL.ai
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AB wechat-to-ima

Save WeChat Official Account articles into IMA notes or into a named IMA knowledge base with preserved article structure. Use when the user sends an mp.weixin.qq.com link and wants to save, archive, import, collect, or store the article in IMA/笔记/知识库. Handles parsing article metadata, preserving inline body images in order, falling back to the cover image when the body has no images, then either saving to IMA notes or resolving a target knowledge base and adding the article there. When the user asks for a 知识库, route only to that knowledge base and do not create an extra user-visible IMA note.

ClawHub Agent Skills author: harven-droid v1.2.3 MIT-0 8 files body ≈ 1 035 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 76/100 · Nearly there — weak spots: running it twice, progress reporting

GeneratorWriting and documentstype 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
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
84
Run on models
none yet
Process rating
B
76/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:43
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…HxH+tv3k…kSo+8o0wxg9lZWw==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:52
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:82
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…dfW+r2Wn…xUV+azxA…TQk+2N2X…Rtg==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:154
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…NxY+fzEC…TMw+Dfs3…h4g==",
      quoted
    • low Secrets in code secret-high-entropy-token package-lock.json:171
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "integrity": "sha5…SDq+2kAA…MOe/+5cdoEdg==",
      quoted

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 76/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 42 steps
    • 100Failures and branches. 6 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1035 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)
    • -33 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 599: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 42 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    The skill mostly does what it says, but it parses web pages by executing code from fetched page content while IMA credentials are available.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026