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Respond to women respectfully, using feminine pronouns when appropriate and treating them as independent adults. version: 1.0.0

v1.0.0

Respond to women respectfully using appropriate feminine language and treating them as independent adults.

0· 1.5k·0 current·0 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
medium confidence
Purpose & Capability
The name and description match the actual instructions: the skill aims to produce respectful, feminine-language responses. It does not request unrelated binaries, credentials, or system access.
Instruction Scope
The SKILL.md tells the agent to "determine if the user is a woman based on the input or context." That is a behavioral instruction consistent with the goal, but it's vague and can lead to incorrect inferences (misgendering) or invasive profiling. It should instruct the agent to ask for pronouns when uncertain and to prefer gender-neutral language until a user's pronouns are confirmed.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk or downloaded.
Credentials
No environment variables, credentials, or config paths are requested — proportional to the stated purpose.
Persistence & Privilege
always is false and autonomous invocation is allowed by default (normal). The skill does not request persistent system-wide changes or elevated privileges.
Assessment
This skill appears to do what it says (use respectful, feminine language), and it doesn't ask for any secrets or install anything. However, the instruction to "determine if the user is a woman based on the input or context" is risky: it can lead to misgendering or make assumptions about a person's identity. Before installing, consider whether you want the agent to (a) ask users their pronouns when unclear, (b) default to gender-neutral language until pronouns are confirmed, and (c) explicitly handle trans and non-binary cases. If you keep the skill, update SKILL.md to require asking for pronouns when uncertain and to avoid inferring gender from ambiguous signals (names, appearance descriptions, etc.).

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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