SKILLEMALL.ai

AC tiktok-creator-research

Vet public TikTok creators through live profile, post, video, comment, and user-search endpoints in Crawlora. Use for TikTok-only creator research and shortlists; use influencer-discovery for cross-platform campaign sourcing.

ClawHub Agent Skills author: Crawlora v1.0.6 MIT-0 5 files · 1 script body ≈ 993 tokens Open the sourceclawhub.ai analyzed 2 d ago

Vet public TikTok creators through live profile, post, video, comment, and user-search endpoints in Crawlora.

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
98
Quality 40%
94
Run on models
none yet
Process rating
C
62/100
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration net-credential-use scripts/crawlora.sh:16
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
      : "${CRAWLORA_API_KEY:?Set CRAWLORA_API_KEY first — get a free key at https://crawlora.net?utm_source=…&utm_medium=…&utm_campaign=…"
      vendor-hostquoted
    • low Exfiltration net-credential-use scripts/crawlora.sh:78
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      printf 'header = "x-api-key: %s"\n' "$CRAWLORA_API_KEY" >"$curl_config"
      quoted

    Files scanned: 5. 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 62/100

    • 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. 2 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 12 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 993 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 225: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 12 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This skill is a disclosed TikTok creator-research helper that sends user-directed requests to Crawlora and does not show hidden persistence, destructive behavior, or unrelated data access.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026