Growth Strategy Hub
v1.0.1Enterprise Growth Decision System built on real market signals and governing capital allocation across Meta (Facebook/Instagram), Google Ads, TikTok Ads, You...
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bydanyangliu@danyangliu-sandwichlab
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the SKILL.md content: an enterprise-level capital allocation decision system. Required inputs (enterprise targets, capital pool, market signals, governance rules) are appropriate and proportional to the stated purpose.
Instruction Scope
SKILL.md contains workflow, input/output contracts, decision rules, examples, and guardrails but does not instruct the agent to fetch platform data, read unrelated files, or access credentials. It assumes market_signal_inputs are supplied; it is ambiguous about who/what supplies those signals (user, data pipeline, or agent). If the agent is later given credentials or external fetch capability, actual behavior will depend on how it's integrated.
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be written to disk or installed by the skill itself.
Credentials
No required environment variables, no credentials, and no config paths are declared. The inputs are data-oriented rather than credential-oriented, which is proportionate for a decision system that consumes supplied signals.
Persistence & Privilege
always is false and the skill does not request persistent presence or modification of other skills or system settings. Normal autonomous invocation is allowed (platform default).
Assessment
This skill is an instruction-only decision framework and appears coherent with its stated purpose. Important considerations before installing or enabling it for autonomous use: (1) it expects market_signal_inputs but does not fetch platform data itself — if you plan to grant the agent credentials or connectors to Google/Meta/TikTok, treat those credentials as sensitive and limit scope (read-only, scoped access) and require human approval for execution; (2) for high-stakes capital-allocation recommendations, require human sign-off and audit logs as the SKILL.md recommends; (3) verify the provenance and freshness of any market signals you feed into the skill, and test the decision rules on non-production data first. If you want the skill to pull data from ad platforms, expect to add explicit, scoped credential handling and review that integration separately.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.