tiktok-automation

Automate TikTok tasks via Rube MCP (Composio): upload/publish videos, post photos, manage content, and view user profiles/stats. Always search tools first for current schemas.

1.79x

Quality

65%

Does it follow best practices?

Impact

97%

1.79x

Average score across 3 eval scenarios

Securityby

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./plugins/all-skills/skills/tiktok-automation/SKILL.md

Quality

Content

75%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.

The content is well-structured, actionable, and clearly sequenced with status-checking checkpoints, but it inlines a large amount of API reference that could be split into reference files and lacks an explicit error-recovery feedback loop.

Suggestions

Move the bulk API reference (tool sequences, parameter tables, per-tool pitfalls) into a separate REFERENCE.md and keep SKILL.md as a concise overview with one-level-deep links to improve progressive disclosure.

Add an explicit feedback loop for the publish workflow (e.g. 'if FETCH_PUBLISH_STATUS returns FAILED, surface the error details, correct privacy/title settings, and retry from upload') to reach workflow-clarity 5.

Trim hedging phrases like 'check current TikTok guidelines' by stating the known limits directly and linking out, reducing token cost.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient with structured tool sequences and bulleted pitfalls, but recurring 'check current TikTok guidelines' hedging and a duplicated Known Pitfalls / per-workflow Pitfalls split add mild padding.	4 / 5
Actionability	Concrete tool names, exact privacy_level enum values, and a Quick Reference table give executable guidance, though there are no actual code/CLI examples and some steps remain tool-name lists rather than copy-paste commands.	4 / 5
Workflow Clarity	Workflows are clearly sequenced with explicit polling/status checkpoints (e.g. 'poll FETCH_PUBLISH_STATUS until processing is complete before publishing'), but the publish flow lacks an explicit error-recovery feedback loop beyond polling.	4 / 5
Progressive Disclosure	Well-organized with clear sections and a Quick Reference table, but all content is inlined in a single ~180-line SKILL.md with no separate reference files despite enough API-detail content to justify splitting, so it stops short of a 5.	4 / 5
	Total	16 / 20 Passed

Description

56%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.

The description is specific and clearly niched to TikTok automation, but it lacks an explicit 'Use when...' trigger clause, which caps completeness and weakens trigger guidance.

Suggestions

Add an explicit 'Use when...' clause naming concrete user triggers, e.g. 'Use when the user wants to upload or publish TikTok videos, post photos, or check their TikTok profile and stats.'

Replace the generic 'manage content' with one or two concrete actions (e.g. 'list published videos') to lift specificity toward 5.

Include common synonyms users would naturally say (e.g. 'TikTok posts', 'social media content') to broaden trigger-term coverage.

Dimension	Reasoning	Score
Specificity	Lists several concrete actions ('upload/publish videos, post photos, manage content, and view user profiles/stats') but bundles several into 'manage content' rather than enumerating them, leaving minor coverage gaps.	4 / 5
Completeness	It clearly states what the skill does, but the 'when' is only weakly implied; there is no explicit 'Use when...' clause or concrete trigger guidance, which the rubric caps at 3.	3 / 5
Trigger Term Quality	Includes natural terms like 'upload', 'publish', 'post photos', and 'profiles/stats', but misses common synonyms users might say ('videos to TikTok', 'TikTok posts', 'social media') and offers no file-format or action variations.	3 / 5
Distinctiveness Conflict Risk	The TikTok-specific framing and Rube MCP/Composio reference give it a clear niche with minimal overlap risk against other social-media skills, though 'manage content' is somewhat broad.	4 / 5
	Total	14 / 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: davepoon/buildwithclaude
Path: plugins/all-skills/skills/tiktok-automation/SKILL.md
Commit: a9fa86d

Reviewed: about 18 hours ago

Table of Contents

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