SKILLEMALL.ai

BD ynote-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、ynote clip、clip to ynote、网页摘录。

ClawHub Agent Skills author: lephix v1.8.1 9 files · 2 scripts body ≈ 1 609 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
94
Quality 40%
69
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Obfuscation obf-base64-blob static/inject-sdk.fn.js:1
    Long base64-looking blob (quoted — discussed, not commanded)
    (()=>{const s=document.createElement('script');s.textContent=atob('dmFy…plY
    quoted
  • low Secrets in code secret-high-entropy-token static/inject-sdk.fn.js:1
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    (()=>{const s=document.createElement('script');s.textContent=atob('dmFy…plY
    quoted
  • low Secrets in code secret-high-entropy-token twitter-apify.mjs:24
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const DEFAULT_APIFY_TOKEN = 'apif…ocw';
    quoted
  • low Exfiltration exfil-secret-in-url twitter-apify.mjs:113
    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/${ACTOR_ID}/runs?token=…
    placeholder
  • low Exfiltration exfil-secret-in-url twitter-apify.mjs:131
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    const url = `https://api.apify.com/v2/actor-runs/${runId}?token=…
    placeholder
  • low Exfiltration exfil-secret-in-url twitter-apify.mjs:154
    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: 9. 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")

Process rating: all ten parameters 48/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1609 tokens

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 60: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This mostly behaves like a YNote web clipper, but it needs review because it includes broad YNote MCP calling ability, a bundled Apify token for Twitter/X clipping, and extra account/local-state checks after saving.
LLM: suspicious (high) · VirusTotal: · 29 May 2026