SKILLEMALL.ai

BD youdaonote-clip

网页剪藏到有道云笔记。触发词:剪藏网页、保存网页、收藏网页。

ClawHub Agent Skills author: lephix v1.21.8 MIT-0 12 files · 3 scripts body ≈ 842 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 38/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
97
Quality 40%
58
Run on models
none yet
Process rating
D
38/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
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.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration exfil-secret-in-url twitter-apify.mjs:192
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const url = `https://api.apify.com/v2/acts/${ACTOR_ID}/runs?token=…
    placeholder
  • low Exfiltration exfil-secret-in-url twitter-apify.mjs:210
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const url = `https://api.apify.com/v2/actor-runs/${runId}?token=…
    placeholder
  • low Exfiltration exfil-secret-in-url twitter-apify.mjs:240
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const url = `https://api.apify.com/v2/datasets/${datasetId}/items?token=…&clean=…
    placeholder

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 38/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 50Steps. 2 steps
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 842 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • 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)
  • +3Description length 30: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This appears to be a real Youdao web-clipper, but it needs review because it can capture sensitive chat pages and uses an under-disclosed Apify path for Twitter/X clipping.
LLM: suspicious (high) · VirusTotal: · 29 May 2026