ClawHub

Profit Margin Analyzer

v1.0.0

Analyzes profit margins by product/service, benchmarks against 2026 industry data, identifies margin erosion, and recommends pricing and cost optimizations.

⭐ 0· 652·0 current·0 all-time
by@1kalin
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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high confidence
✓
Purpose & Capability
Name/description (profit margin analysis, benchmarks, recommendations) align with the SKILL.md content. The skill does not request unrelated binaries, environment variables, or config paths.
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Instruction Scope
SKILL.md contains frameworks, templates, benchmarks, checklists and recommended analyses; it does not instruct the agent to read system files, access secrets, or transmit data to third-party endpoints. Note: the document includes links to external GitHub Pages resources and paid products (marketing), but it does not instruct automatic data submission to those endpoints.
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Install Mechanism
There is no install spec and no code files (instruction-only), which is low-risk. The README shows a 'clawhub install afrexai-profit-margin' command, but the skill package contains no install instructions or binaries — this mismatch is likely just marketing text, not an actual installer. Verify how your agent/platform handles 'clawhub install' before running it.
✓
Credentials
The skill declares no required environment variables, credentials, or config paths. The analyses and templates in SKILL.md are self-contained and do not need secrets or external keys.
✓
Persistence & Privilege
The skill is not marked 'always'. disable-model-invocation is false (normal), so the agent may invoke it autonomously per platform rules — this is expected for skills and not excessive on its own.
Assessment
This skill appears coherent and low-risk: it is an instruction-only business-analysis guide that does not request credentials or perform installs. Before using: (1) Confirm the platform's behavior for 'clawhub install' (the README mentions it but the package has no install spec). (2) Do not paste sensitive customer or credential data into prompts — test with redacted or synthetic data first. (3) If you plan to follow external links or buy the paid 'context packs', treat them as third-party web resources; review their privacy/terms. (4) If you want stronger assurance, ask the publisher for provenance (who maintains afrexai-cto.github.io) or a versioned install artifact you can review.

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.
Termshttps://spdx.org/licenses/MIT-0.html

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