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BF research-to-wechat

A native research-first pipeline that turns a topic, notes, article, URL, or transcript into a sourced article with an evidence ledger, polished Markdown, inline visuals, cover image, WeChat-ready HTML, browser/API-ready draft assets, and optional multi-platform distribution. Use when the user wants 深度研究、改写成公众号、写作、排版、配图、HTML 转换、公众号草稿生成、多平台分发.

ClawHub Hermes author: clarezoe v0.5.6 MIT-0 21 files · 1 script body ≈ 3 393 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 54/100 · Will not run — References files that are not bundled: url

ProcedureInfrastructureWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
94
Quality 40%
72
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:15
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/Fei2-Labs/skill-genie/main/research-to-wechat/scripts/install-openclaw.sh | bash
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/install-openclaw.sh:9
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    #   curl -fsSL https://raw.githubusercontent.com/Fei2-Labs/skill-genie/main/research-to-wechat/scripts/install-openclaw.sh | bash
    comment

Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 344 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 60Result and completion. Output format stated, no completion criterion
  • 60Consistency. The Hermes dialect needs category and tags
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 4 branches
  • 100Steps. 120 steps
  • 100Execution cost. Instruction body is 3393 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (7 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)
  • -5TODO / placeholder text left in the skill
  • -34 of 7 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 344: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 120 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (5 of 9)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill is mostly aligned with WeChat article production, but it can use WeChat credentials to upload content and change account drafts, and it includes a fetcher that impersonates a WeChat client.
LLM: suspicious (high) · VirusTotal: · 9 Jun 2026