Capacity Planner
v1.0.0Analyzes team size, workload, and pipeline data to forecast capacity, identify bottlenecks, and recommend actions 4-8 weeks before crises occur.
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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
The README and SKILL.md both describe a capacity-planning assistant (team/infrastructure modeling, scenario analysis, recommendations). There are no declared binaries, environment variables, or config paths that are unrelated to that purpose. The only minor issue is that the top-level description field is empty in the registry metadata, but the included files provide the expected functionality.
Instruction Scope
All runtime instructions are high-level workflow guidance (what to ask, what outputs to produce). The SKILL.md does not instruct the agent to read local files, access environment variables, call arbitrary endpoints, or exfiltrate data. Output format and scenario templates are scoped to capacity planning.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded. That is the lowest-risk install model.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no requests for keys, tokens, or unrelated service credentials — proportional to the described purpose.
Persistence & Privilege
Flags show default behavior (always: false, agent-invocable, model invocation allowed). The skill does not request permanent presence nor instruct modifications to other skills or system-wide settings.
Assessment
This skill appears coherent and low-risk: it only provides instructions for capacity planning and requests no credentials or installs. Before installing, consider: (1) what team/project data you'll share with the agent—avoid pasting secrets or sensitive PII; (2) the external links in the docs are marketing pages—verify them independently before paying; and (3) if you prefer to limit autonomous behavior, restrict model-invocation or agent permissions in your agent settings so the skill cannot be called without your approval.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.