Openclaw Coworker Prompts
v1.0.1100+ expert prompts to turn OpenClaw into an AI coworker across 44 professions. Instantly deploy agents for tech, business, healthcare, legal, media, and more.
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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 (100+ coworker prompts across professions) matches the supplied README, SKILL.md, and prompts JSON. There are no unrelated environment variables, binaries, or install steps requested that would be disproportionate to a prompts pack.
Instruction Scope
SKILL.md is an instruction-only pack that recommends creating agents and 'assign relevant tools (web, code, exec)'. The included sample prompts ask agents to perform work that may require reading code, OpenAPI specs, EHRs, or logs. The skill itself does not instruct covert data collection or exfiltration, but if a user builds an agent from these prompts and grants tools like exec, web_fetch, or file read/write, that agent could access sensitive local or network data — so scope creepage is possible depending on what the user permits.
Install Mechanism
No install spec and no code files to execute are included; this is the lowest-risk distribution model for a skill. Nothing will be written to disk by an installer associated with this skill package.
Credentials
The package requests no environment variables, credentials, or config paths. That's appropriate for a prompt pack. Note: some prompts imply integration with external data sources (EHR, payroll systems, GitHub) — those integrations would require credentials, but the skill does not request them itself.
Persistence & Privilege
always:false and user-invocable:true (defaults) — the skill does not demand permanent presence or elevated platform privileges. It does include allowed-tools metadata recommending exec and web_fetch, but those are tool recommendations, not forced privileges.
Assessment
This package is a coherent prompt collection and does not include code, installers, or required secrets — that reduces the immediate attack surface. Before installing/using: 1) Review individual prompts and remove or adapt any that ask agents to handle sensitive data (PHI, payroll, legal case material) unless you control a secure environment. 2) When you create agents from these prompts, avoid granting powerful tools (exec, file read/write, web_fetch) unless strictly necessary; test agents in an isolated environment first. 3) Do not provide real credentials or production data to agents created from these prompts; instead use sanitized examples. 4) Note provenance is limited (no homepage and contact via Telegram); if you require stronger provenance or support, seek packs with maintained repos and clear authorship. 5) Verify license terms and any payment method before purchasing or donating.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.