TikTok
v3.0.0Local-first TikTok Growth OS for strategy, hooks, scripts, retention design, and analytics feedback. Use when the user mentions TikTok, short-form video, hoo...
⭐ 3· 873·9 current·12 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (TikTok Growth OS) matches the included scripts and documentation: scripts implement profile management, saving/browsing content, logging performance, and summarizing patterns. Nothing in the manifest or code asks for unrelated capabilities (cloud credentials, platform APIs, posting automation).
Instruction Scope
SKILL.md scopes behavior to local content generation, optional local saving, and using locally logged analytics. Instructions do not direct reading of unrelated system files, network calls, scraping, or posting; they explicitly state 'No API, no posting, no platform automation.'
Install Mechanism
No install spec is present (instruction-only). The package includes only small Python scripts and reference docs; there are no downloads, external installers, or archive extraction steps.
Credentials
The skill declares no required environment variables, binaries, or credentials. The only persistent state is written to ~/.openclaw/workspace/memory/tiktok — consistent with the stated local-memory behavior.
Persistence & Privilege
always is false and the skill does not request system-wide changes. It writes only to its own subdirectory under the user's home and does not modify other skills or system configs.
Assessment
This skill appears to do what it says: generate and save TikTok ideas, hooks, scripts, and simple analytics locally. Before installing, consider: (1) It will create and update files at ~/.openclaw/workspace/memory/tiktok (profile, content_bank, analytics, pattern_report) — data is stored unencrypted as JSON. (2) Review the included scripts if you are concerned about privacy or exfiltration; these scripts perform only local file I/O and display output. (3) Avoid logging sensitive or personally identifiable data into the analytics or content files. (4) Run the Python scripts in a controlled environment (virtualenv) if you plan to execute them. (5) Because the agent can invoke skills autonomously by default, only enable/use this skill if you are comfortable with the agent creating or updating those local files. If you'd like, I can point out exact lines where files are read/written or help you modify the storage path or add encryption.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.