SKILLEMALL.ai

AC linkdigest-xiaohongshu-douyin-reader

Read a Xiaohongshu (RedNote) or Douyin link in English. Use when the user shares a xiaohongshu.com, xhslink.com, rednote.com, douyin.com or v.douyin.com link and wants to know what the post says: the caption, the text inside the images (OCR), the spoken transcript of the video, on-screen captions, likes and saves, hashtags, or an English translation. No Chinese phone number, app, login or cookie needed. Reads through the LinkDigest API; needs LINKDIGEST_API_KEY. Pay as you go: an image note is 1 credit (about $0.02), 10 free credits on sign-up.

ClawHub Agent Skills author: CHEW LOONG NIAN v1.2.0 MIT-0 3 files · 1 script body ≈ 1 238 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

Read a Xiaohongshu (RedNote) or Douyin link in English.

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 0

    ✓ No critical or high findings

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 53/100

    • 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
    • 30Running it twice. 5 mutating operations with no state check
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 100Steps. 20 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1238 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 550: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This skill is a disclosed LinkDigest API wrapper for reading public social-post links, with no evidence of hidden persistence, local data harvesting, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 8 Oct 2026