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AC Xiaohongshu (RedNote) API

Search Xiaohongshu notes, inspect creator profiles, resolve share links, and drill into note comments, replies, and note detail endpoints through JustOneAPI.

ClawHub Agent Skills author: justoneapi v1.0.3 MIT-0 5 files body ≈ 878 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
97
Quality 40%
81
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token bin/run.mjs:685
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "operationId": "shar…rV1",
      quoted
    • low Secrets in code secret-high-entropy-token generated/operations.json:679
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "operationId": "shar…rV1",
      quoted
    • low Secrets in code secret-high-entropy-token generated/operations.md:378
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      ## `shar…rV1`
      quoted

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 60/100

    • 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. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (Xiaohongshu (RedNote) API) differs from the folder (justoneapi-xiaohongshu)
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 27 steps
    • 100Execution cost. Instruction body is 878 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 157: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: clean
    This is a coherent read-only Xiaohongshu API wrapper, with a real but disclosed credential-handling caution around sending the JustOneAPI token in query parameters.
    LLM: benign (high) · VirusTotal: · 29 May 2026