Elvis Future Scout

v1.0.0

专注2026–2031年技术、经济、政治及财富趋势,提供五大投资赛道的结构性演变与前瞻性卡位指引。

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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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Benign
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Benign
high confidence
Purpose & Capability
Name/description match the SKILL.md: it provides forward-looking, structural investment trend reports across five stated tracks. It requests no binaries, credentials, or installs — which is proportionate for an instruction-only reporting skill.
Instruction Scope
The SKILL.md gives detailed output format and constraints and requires weekly autonomous reports and persistent 'memory anchors' (user investment strategy). It does not specify data sources or limits on web/API access, leaving broad discretion to gather evidence; this is functionally reasonable but worth noting because it may cause the agent to fetch external data or use platform memory.
Install Mechanism
No install spec and no code files — lowest-risk model for delivery. Nothing is written to disk or fetched during install.
Credentials
The skill asks for no environment variables, credentials, or config paths. The memory anchor implies use of the agent/platform memory but no additional secrets are requested, which is proportional to its purpose.
Persistence & Privilege
Skill expects to run autonomously every Monday after a one-time '/future' activation. always:false (not force-installed) and model invocation is allowed (normal). Autonomous weekly scheduling increases the operational scope (it will produce outputs without repeated user prompts) but is not excessive by itself.
Assessment
This skill is instruction-only and internally consistent with its stated purpose, but review a few practical items before enabling: 1) Confirm how your agent platform implements the weekly scheduling and how to disable it (so you can revoke the automated Monday reports if desired). 2) Understand where the 'memory anchor' (user investment strategy) will be stored and how to delete or edit it. 3) The skill asks reports to be 'evidence-based' but doesn’t constrain data sources — decide whether the agent may fetch web data/APIs and whether that behavior is acceptable. 4) Although the skill forbids specific stock picks, its suggestions about sectors and timing can still influence investment decisions — treat outputs as research, not financial advice, and verify before acting. If you want tighter control, require manual invocation instead of allowing autonomous weekly runs or inspect the first several outputs closely.

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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