MMX Cost Optimizer
v1.0.0智能AI成本优化系统，集成Token预算管理、边际收益检测、多维度成本统计。当用户要求优化AI调用成本、控制Token使用、监控预算消耗、生成成本报告、降低API费用时使用。
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by@e2e5g
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (AI cost/token optimization) match the content of SKILL.md: budgeting rules, cost formulas, hooks, and suggestion generation. There are no unrelated requirements (no cloud creds, no unrelated binaries).
Instruction Scope
SKILL.md contains only local logic and pseudocode for tracking tokens, computing costs, generating suggestions, and registering hooks. It references platform helper functions (registerHook, saveCurrentProjectConfig, getStoredSessionCosts, logCostEvent) but does not instruct reading arbitrary files, environment variables, or sending data to external endpoints. Note: the instructions assume the platform provides storage/hooks—verify what those platform functions store and where.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute. Lowest-risk installation surface: nothing is downloaded or written by an installer.
Credentials
No environment variables, credentials, or config paths are declared or required. The functions referenced imply saving/restoring session state, which is expected for a budgeting tool and does not demand extra secrets.
Persistence & Privilege
always:false and user-invocable (normal). The skill expects to register hooks and persist session cost data via platform APIs; this is appropriate for its purpose but means it will write/read cost state in whatever storage the platform exposes — verify that storage is limited to the skill's own data and not global secrets.
Assessment
This skill appears coherent for cost and token management and does not ask for secrets or installs. Before installing: (1) confirm the platform APIs referenced (registerHook, saveCurrentProjectConfig, getStoredSessionCosts, logCostEvent) are limited to storing cost/session data and do not expose or modify unrelated configs; (2) prefer installing from a known source (source/homepage are missing here); (3) test in a sandbox project to see exactly what data is persisted and retained; and (4) if you need stronger assurance, ask the author or publisher for a provenance link or repo before trusting it with production data.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.