SKILLEMALL.ai

BF claw-markdown-gen

从网页采集内容生成风格化图文(公众号/知乎/掘金/小红书/头条风格)。 当用户需要将网页文章转为精美图文、生成公众号推文、制作小红书笔记、或对文章进行AI改写时使用。 触发词: 生成图文、公众号文章、图文内容、微信推文、article generation、图文生成

ClawHub Agent Skills author: 天天修改 v2.3.1 MIT-0 11 files body ≈ 3 387 tokens Open the sourceclawhub.ai analyzed 12 h ago

从网页采集内容生成风格化图文(公众号/知乎/掘金/小红书/头条风格)。 当用户需要将网页文章转为精美图文、生成公众号推文、制作小红书笔记、或对文章进行AI改写时使用。 触发词: 生成图文、公众号文章、图文内容、微信推文、article generation、图文生成

As a process F 35/100 · Will not run — References files that are not bundled: 图片URL, references/styles/{style}_common_style.json

GeneratorAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: 图片URL, references/styles/{style}_common_style.json
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

What is at stake

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

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Exfiltration net-redirectable-api-key scripts/generate_images.py:36
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment

Files scanned: 11. 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: 图片URL
  • warning missing-ref reference to a missing file: references/styles/{style}_common_style.json

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: 图片URL, references/styles/{style}_common_style.json
  • 0Tools and files. 2 referenced file(s) missing: 图片URL, references/styles/{style}_common_style.json
  • 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
  • 100Steps. 105 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3387 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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 133: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 105 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This skill is a coherent webpage-to-markdown writing helper, but users should understand that webpage text and image prompts may be sent to AI services.
LLM: benign (high) · VirusTotal: · 10 Jul 2026