SaaS Metrics Dashboard
v1.0.0Generates a complete SaaS metrics analysis from your data, benchmarking 15 key B2B SaaS KPIs for 2026 and providing red/yellow/green flags plus action items.
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by@1kalin
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, SKILL.md, and README all describe collecting raw SaaS metrics, computing derived KPIs and benchmarking them. There are no unrelated env vars, binaries, or install steps requested.
Instruction Scope
Runtime instructions only ask the agent to prompt the user for numeric inputs and compute/benchmark metrics. The SKILL.md does not instruct the agent to read unrelated files, access environment variables, or exfiltrate data to external endpoints. It contains marketing links but no runtime network calls are specified.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing is written to disk or downloaded during install.
Credentials
The skill requires no environment variables, credentials, or config paths. The inputs are user-supplied numeric metrics, which is proportionate to the stated purpose.
Persistence & Privilege
always is false, the skill is user-invocable and can run autonomously (platform default). It does not request persistent system changes or access to other skills' configs.
Assessment
This skill appears coherent and limited in scope, but consider these practical precautions before use: (1) Do not paste sensitive customer PII, API keys, or credentials into the dialog — the skill only needs numeric business metrics. (2) If your agent logs conversations or sends telemetry externally, be mindful that your input numbers may be retained or transmitted; check your agent/platform privacy settings. (3) The SKILL.md contains marketing links to paid context packs — those are external resources, not required for the core functionality. (4) Validate the provided 2026 benchmark ranges against your own vertical and business model before taking high-impact decisions. If you need the agent to analyze confidential datasets, prefer uploading them to a controlled secure environment rather than pasting into an open chat.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.