Board Meeting Prep
v1.0.0Generate comprehensive board meeting packages including agenda, financial summary, KPI dashboard, risk register, and action item tracker tailored to your com...
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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 (board meeting packages) match the SKILL.md contents: agenda, financial dashboard, KPI items, risk register, and related templates. Nothing in the package requires additional system access, credentials, or unrelated capabilities.
Instruction Scope
The SKILL.md is an instruction-only template set and does not instruct the agent to read system files, environment variables, or call external APIs. It does ask the agent to 'take your company context' — which legitimately requires the user to supply potentially sensitive financial and customer data. Users should avoid pasting credentials or unnecessary PII when using the skill.
Install Mechanism
No install spec and no code files are included (instruction-only). This minimizes disk/write/execute risk.
Credentials
The skill declares no required environment variables, primary credential, or config paths. There are no unexplained secret or credential requests in the manifest or SKILL.md.
Persistence & Privilege
always:false and no install steps or instructions to modify agent/system configuration. The skill does not request persistent privileges or to change other skills' settings.
Assessment
This skill is a coherent, instruction-only template for board materials and appears safe from a technical perspective. Before using it: 1) Do not paste credentials (API keys, passwords) or full PII into prompts — only supply the specific financial and KPI figures the agent needs. 2) Be aware the SKILL.md references external AfrexAI pages (paid context packs); those links are marketing/upsell and are not required to use the templates. 3) If you plan to have the agent assemble sensitive documents (P&L, cap table, customer lists), limit the dataset you provide and consider running the final output through a human reviewer before distribution. 4) If you want stronger guarantees, ask for a version of the skill that only accepts structured inputs (CSV/JSON) rather than free-form pasted data. Overall, no technical red flags were found.Like a lobster shell, security has layers — review code before you run it.
boardvk972khmxyj5rpyv8zah1q9m6ts816zc4financevk972khmxyj5rpyv8zah1q9m6ts816zc4governancevk972khmxyj5rpyv8zah1q9m6ts816zc4latestvk972khmxyj5rpyv8zah1q9m6ts816zc4meetingvk972khmxyj5rpyv8zah1q9m6ts816zc4startupvk972khmxyj5rpyv8zah1q9m6ts816zc4
License
MIT-0
Free to use, modify, and redistribute. No attribution required.