Pricing Strategy Advisor
v1.0.0Turn pricing notes, margin pressure, competitor context, discount behavior, and channel constraints into a practical pricing strategy brief with objective fr...
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byhaidong@harrylabsj
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 name/description (pricing strategy advisory) matches the code and SKILL.md. The skill requires no credentials, no binaries, and does not attempt to integrate with unrelated services; all required inputs are user-supplied pricing/context data which is appropriate for the stated purpose.
Instruction Scope
SKILL.md explicitly forbids fetching live competitor or analytics data and the handler.py implementation follows that: it uses only local text normalization and keyword heuristics to create a markdown brief. Note: the logic is heuristic (keyword matching) and may misclassify objectives or underweight nuance without richer user data — this is a functional limit rather than a security issue.
Install Mechanism
No install specification is provided (instruction-only), so nothing is downloaded or written to disk by an installer. The included code files are simple, self-contained Python with no external package pulls or shell/network operations.
Credentials
The skill requests no environment variables, no credentials, and references no config paths. There are no tokens, keys, or secrets required or accessed by the code.
Persistence & Privilege
always is false and the skill does not attempt to persist configuration, modify other skills, or request elevated platform privileges. It follows normal, limited runtime behavior.
Assessment
This skill appears safe and does what it says: it produces heuristic pricing briefs from user-provided context and asks for no credentials or external data. A few practical notes before installing or using it: (1) verify the full handler.py file in the package (the manifest shown to you had a truncated snippet — confirm the complete source on disk or in the registry before trusting it); (2) outputs are heuristic keyword-based recommendations — do not auto-apply price changes without human review or A/B testing; (3) avoid pasting sensitive credentials or unneeded PII into prompts (the skill does not need secrets); (4) if you need rigorous elasticity or live competitor data, feed validated analytics or run experiments rather than relying solely on this advisor; (5) the agent can be invoked autonomously by default on the platform, but here that is not a high risk because the skill has no network or credential access — still consider limiting autonomous runs if you prefer manual invocation.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.