Dispute Letter

v2.3.7

纠纷投诉信生成。消费者投诉、房东纠纷、劳动争议、保险理赔、银行投诉。Dispute letter generator. 投诉信、纠纷、维权。

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
Purpose & Capability
Name/description match the actual functionality: the scripts generate dispute/complaint letter templates (consumer, credit, contract, landlord). The files that are present are proportional to a template generator and do not require network access or external credentials.
Instruction Scope
SKILL.md instructs running the included CLI and references commands; the shipped scripts implement consumer, credit, contract, and landlord templates and a separate utility script. SKILL.md also lists additional commands (employer, insurance, bank, template) that are not implemented in the provided scripts — this mismatch is sloppy but not evidence of malicious behavior. The Python template prints example placeholders (including an SSN-last-4 placeholder) but does not attempt to read or transmit any sensitive data.
Install Mechanism
No install spec is provided (instruction-only style) and included scripts are plain shell/Python files. Nothing is downloaded from external URLs or extracted during install — low risk.
Credentials
The skill requests no environment variables or credentials. It optionally respects DISPUTE_LETTER_DIR / XDG_DATA_HOME / HOME to choose a data directory, which is appropriate for a tool that stores local data.
Persistence & Privilege
always is false and the skill does not request elevated privileges. It creates and writes files under a user-scoped data directory (~/.local/share/dispute-letter by default), which is reasonable for storing templates/history but means generated content and any added entries will be stored on disk.
Assessment
This skill appears to be a straightforward local template generator. Before installing, note: (1) it will create and write files under ~/.local/share/dispute-letter (or the directory you set with DISPUTE_LETTER_DIR), including data.log and history.log — avoid putting sensitive personal data there if you don't want it stored; (2) SKILL.md mentions commands (employer, insurance, bank, template) that are not implemented in the shipped scripts, so expect some documentation mismatch; (3) there are no network calls or credential requests, so it does not exfiltrate data by design, but you should still inspect or run the scripts in a safe environment if you have doubts about origin. If you need auditability, verify the files locally and consider running them in a sandbox or reviewing their output before using real personal identifiers.

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.

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