tiktok-influencer-finder

Find TikTok influencers using Apify's Influencer Discovery Agent. Use when the user wants to discover TikTok creators or influencers in any niche.

Quality

80%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

73%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Highly actionable and well-structured content with executable commands and a verified backing script, but the workflow lacks explicit validation/verification checkpoints for a batch remote-API operation, which caps workflow clarity.

Suggestions

Add an explicit validation step after the search: check that the Apify run succeeded (script exits non-zero / prints status) and that results are non-empty before filtering, with guidance to retry or adjust criteria on failure.

Verify required env vars (GOOSEWORKS_API_KEY or APIFY_API_TOKEN) as Step 0 before composing the search command, so token failures are caught early.

Trim the Step 3 filter rules that duplicate logic already handled by the script's --min-followers/--max-followers/--min-fit flags to reduce redundancy.

Dimension	Reasoning	Score
Conciseness	The body is mostly lean with executable commands, a tight CLI reference table, and only a few mild over-explanations (e.g. restating filtering rules the script already implements); it is efficient but could trim the duplicated filter logic in Step 3.	4 / 5
Actionability	Copy-paste ready bash commands with real flags, a complete CLI reference table, and a verified backing script (find_influencers.py) make the guidance fully executable across the common cases.	5 / 5
Workflow Clarity	Steps 1-4 are clearly sequenced, but this is a batch remote API operation with no validation checkpoint: there is no step to verify the Apify run succeeded, confirm the token/env var is set before running, or handle empty/failed results before presenting, so the destructive/batch cap of 3 applies.	3 / 5
Progressive Disclosure	Content is well-organized into Quick Start, numbered steps, CLI reference, and Notes, with the heavy logic correctly offloaded to the bundled scripts/find_influencers.py; no nested references and easy to navigate, though there is no explicit pointer to the script file beyond inline command paths.	4 / 5
	Total	16 / 20 Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A concise, well-targeted description that clearly answers both what the skill does and when to invoke it, with strong natural trigger terms. Minor room to enumerate more concrete actions for higher specificity.

Dimension	Reasoning	Score
Specificity	"Find TikTok influencers using Apify's Influencer Discovery Agent" names the domain plus one concrete action (find influencers via a specific agent); it lacks a fuller enumeration of actions, sitting above the 3-anchor but below the comprehensive 5-anchor.	4 / 5
Completeness	It explicitly states both what ("Find TikTok influencers using Apify's Influencer Discovery Agent") and when ("Use when the user wants to discover TikTok creators or influencers in any niche"), matching the anchor that requires concrete trigger phrases for both.	5 / 5
Trigger Term Quality	"TikTok creators or influencers in any niche" covers the main natural terms users would say, with "niche" as a common synonym; it misses a few variations like "creator discovery" or specific platform phrasings, so it falls just below the 5-anchor.	4 / 5
Distinctiveness Conflict Risk	Tightly scoped to TikTok influencer discovery via a named Apify actor, giving it a clear niche with distinct triggers and minimal overlap with other skills.	5 / 5
	Total	18 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: gooseworks-ai/goose-skills
Path: skills/social/capabilities/tiktok-influencer-finder/SKILL.md
Commit: 2523432

Reviewed: 5 days ago

Table of Contents

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