Startup Validator
v1.0.0Structures early startup validation with commands for idea, competitive analysis, and MVP planning plus a standardized reporting template.
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byClawKK@codekungfu
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 (startup validation, competitive analysis, MVP scaffolding) match the included script and documentation. The bundled Python script implements validate/compete/mvp commands and returns structured JSON results and reference URLs. One minor documentation inconsistency: example usage paths in SKILL.md reference different repository paths than the actual script location, but this is a documentation bug rather than an unexplained capability.
Instruction Scope
SKILL.md confines runtime actions to running the local Python CLI and producing a report template. It recommends (optionally) installing requests if you extend network calls, and advises using real API data rather than inventing metrics. The code itself uses only local file I/O and standard library; it does not perform network access or read unrelated system files. The only scope note: documentation suggests using external APIs for richer data, but the shipped tool does not call external endpoints by default.
Install Mechanism
No install spec and no downloads; this is an instruction-only skill with a small bundled Python script. There is no external install or archive extraction, so installation risk is low.
Credentials
The skill declares no required environment variables, no primary credential, and the script does not read secrets or environment variables. Requested capabilities are proportionate to the stated purpose.
Persistence & Privilege
The tool writes a local data file (data/startup_validator_data.json) and will migrate a legacy file if present; this is expected for a CLI helper that logs runs. The skill is not always-enabled and does not modify other skills or system-wide configuration.
Assessment
This skill appears coherent and low-risk: it is a small local CLI that logs runs to data/startup_validator_data.json and produces structured reports. Before installing/running: 1) Inspect the script yourself (it's short and readable). 2) Run it in a project/sandbox directory if you prefer to avoid creating data files in your repo. 3) Be aware the docs mention optional external API usage (requests) — if you or someone modifies the tool to call web APIs, do not add credentials or endpoints you don't trust. 4) Note the example usage path in SKILL.md is slightly inconsistent with the actual script path; adjust commands accordingly.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.