Algae Feeding

v1.0.1

藻类投喂计算技能。根据日报中的车间、池号范围、品系,查询藻类投喂标准,计算并生成投藻量。支持小池(24m²)和大池(40m²),T/SR/M/YR四种品系,第1-4天上午/下午的投喂量计算。超过4天的幼体不投藻。当用户提供藻类投喂日报数据时,触发此技能进行投藻量计算。

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bycheney@cheney87
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
Purpose & Capability
The name and description describe parsing daily reports and computing feeding volumes. The included parsing guide, feeding-standard reference, SKILL.md workflow, and the calculation script all implement that same purpose. Required env/config/credentials are none, which is appropriate for a purely local computation skill.
Instruction Scope
SKILL.md and the script only operate on user-provided report text and local standard tables. They do not direct reading of unrelated files, environment variables, or network calls. Two minor implementation/clarity notes (non-security): the parsing and date logic work with day-of-month only (month/year not considered), so feeding-day calculation can be wrong across month boundaries; and the docs sometimes list strains (T/SR/M/YR) but one note in parsing-guide enumerates only T/SR/M — a documentation inconsistency. These are functional issues, not scope creep or exfiltration.
Install Mechanism
No install spec provided (instruction-only plus a local Python script). There is no download/install of external artifacts, no brew/npm downloads, and no archives extracted. Risk from installation mechanism is minimal.
Credentials
The skill requests no environment variables, no credentials, and no config paths. That matches its described functionality (local parsing and calculation).
Persistence & Privilege
always:false and no special privileges are requested. The skill does not attempt to modify other skills or system-wide settings. Autonomous invocation is permitted (platform default) but is not combined with unusual privileges.
Assessment
This skill appears to be what it claims: it parses user-supplied report text and computes per-pool feeding amounts locally, with no network access or secret requests. Before relying on results in production, test with representative reports because the date arithmetic uses only the day-of-month (may miscompute across month boundaries) and there are small doc inconsistencies about supported strain codes. If you need month-aware date handling or cross-month reports, ask the author to fix the date logic.

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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