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

86%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

90%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.

A tightly written, highly actionable skill body: executable commands, a complete CLI table, and a clear four-step workflow with post-run filtering and retry guidance. The only flaws are minor — no error-recovery guidance for failed/timed-out API runs and a script path that doesn't resolve relative to the skill root.

Dimension	Reasoning	Score
Conciseness	The body is lean and operational throughout — commands, a CLI table, filter rules, and presentation guidance with no padding or explanation of concepts Claude already knows; even the Notes (engagement >100%, 1-3 minute runtime) are non-obvious domain facts that earn their tokens.	5 / 5
Actionability	Fully executable, copy-paste-ready bash commands covering the common cases, a complete CLI reference table with defaults and flag semantics, and concrete filtering rules with explicit thresholds ("generally exclude fit < 0.6").	5 / 5
Workflow Clarity	The four steps (gather criteria → run search → filter → present) are clearly sequenced, with the filtering step acting as a checkpoint and an explicit adjust-and-retry loop ("offer to run another search with different keywords or adjusted criteria"); however there is no guidance for handling run failures or timeouts, leaving a minor validation gap.	4 / 5
Progressive Disclosure	Implementation is appropriately split into the one-level-deep scripts/find_influencers.py, well-signaled via Quick Start, Step 2, and the CLI reference, and the body stays an overview; but the referenced path "skills/tiktok-influencer-finder/scripts/find_influencers.py" is repository-root relative rather than skill-root relative (the bundle file is scripts/find_influencers.py), a minor navigation gap.	4 / 5
	Total	18 / 20 Passed

Description

82%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-formed description that clearly states what the skill does and when to use it, with a distinct TikTok-specific niche. Its only real weakness is thin capability coverage — it advertises a single "find" action while the skill supports follower/fit filtering and multiple output formats.

Suggestions

List 2-3 concrete capabilities in the description, e.g. "Find TikTok influencers using Apify's Influencer Discovery Agent, with follower-count, location, and relevance (fit-score) filtering, output as JSON, CSV, or a summary table."

Broaden trigger phrasing slightly to include common user variants such as "find TikTok creators for my niche" or "TikTok creator marketing research".

Dimension	Reasoning	Score
Specificity	Names the domain and a single concrete action — "Find TikTok influencers using Apify's Influencer Discovery Agent" — but does not list several specific capabilities (e.g. follower/location filtering, fit scoring, CSV export) that the skill actually supports, matching the anchor for 1-2 concrete actions without comprehensive coverage.	3 / 5
Completeness	Explicitly answers 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") with concrete trigger phrases, mirroring the top anchor's example pattern.	5 / 5
Trigger Term Quality	Includes natural terms users would say — "TikTok", "influencers", "creators", "discover", "niche" — giving good keyword coverage, though a few natural variations (e.g. "creator marketing", "brand collabs", "UGC creators") are missing.	4 / 5
Distinctiveness Conflict Risk	"TikTok" plus the explicit influencer/creator discovery scope carves out a clear niche with distinct triggers and minimal overlap risk with other skills.	5 / 5
	Total	17 / 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: a9f4676

Reviewed: 23 minutes ago

Table of Contents

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