SKILLEMALL.ai
RU Sign in

AB x-twitter-scraper

Use Xquik for X/Twitter REST, MCP, SDKs, search, exports, monitoring & approved publishing. Not affiliated with X Corp. Trigger for tweet search, user lookup, timelines, follower exports, media, webhooks, bulk extraction, giveaways, or MCP setup. Read-only by default. Require explicit approval for writes, private reads, monitors, webhooks & metered bulk jobs.

ClawHub Agent Skills author: Xquik v2.5.4 MIT-0 75 files body ≈ 4 402 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 76/100 · Nearly there — weak spots: consistency, running it twice, progress reporting

IntegrationInfrastructureAI and agentstype 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
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
76/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Consistency w 8
40
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: 75. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 76/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 15 mutating operations with no state check
    • 40Consistency. Frontmatter name (x-twitter-scraper) differs from the folder (x-scraper)
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4402 tokens
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 99 steps
    • 100Failures and branches. 3 branches, has a failure section
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 24 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)
    • +2Single-language instructions
    • +3Description length 361: enough signal without eating the budget
    • +4Structure: 30 headings
    • +3Step-by-step instructions: 99 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (11 of 71)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    The skill is a broad Xquik/X integration guide with sensitive capabilities, but its main instructions disclose them and require user approval before private reads, writes, persistent resources, webhooks, and metered jobs.
    LLM: benign (medium) · VirusTotal: · 21 Jul 2026