Win More Clients with AI Proposals (Freelancer & Agency Tool)
v1.0.0Generate high-converting freelance proposals, pricing strategies, objection handlers, and client follow-ups. Designed to help freelancers and agencies win mo...
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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
Name/description (proposal generation, pricing, follow-ups) matches the input schema (service, client, job description, pricing, tone) and the provided output sections. The skill does not request unrelated binaries, cloud credentials, or filesystem access.
Instruction Scope
SKILL.md/prompt.txt only tell the agent how to generate text outputs (short/long proposals, pricing, objections, follow-ups, A/B variations). There are no instructions to read system files, access environment variables, call external endpoints, or transmit data outside the agent. The only discretionary behavior is to 'make smart assumptions' when fields are missing, which is reasonable for a text-generation task.
Install Mechanism
No install spec, no code files that would be written to disk — instruction-only skills have the lowest installation risk. The repo contains metadata and prompt/README files only.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. There are no requests for secrets or unrelated service tokens.
Persistence & Privilege
always:false and user-invocable:true (defaults). The skill does not request permanent presence or to modify other skills or system-wide settings. Autonomous invocation is permitted by platform default but is not combined with other risky behaviors here.
Assessment
This skill appears internally consistent and low-risk, but take basic precautions before use: (1) Test it with non-sensitive or anonymized client data — don't paste private client PII or secrets into the job_description field. (2) Verify any claimed 'past results' before presenting them to clients; avoid fabricating metrics. (3) Because the package author/source is unknown and there's no homepage, run a few test generations to evaluate output quality and any upgrade/monetization prompts. (4) If you plan to monetize or redistribute outputs, check the MIT-0 license text and consider legal/ethical implications of representing generated claims as factual. (5) If you need stronger assurances (e.g., provenance, support, or a known publisher), request additional publisher metadata or prefer skills from verified sources.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.