Returns Reverse Logistics

v1.0.0

Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims manageme...

2· 474·1 current·1 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The name/description (returns & reverse logistics) match the included materials: a long SKILL.md with grading frameworks, disposition logic, fraud patterns, templates, and evaluation artifacts. There are no environment variables, binaries, or config paths required that are unrelated to returns operations.
Instruction Scope
The SKILL.md defines role, policies, inspection checklists, disposition trees, fraud indicators, and communication templates. It does not instruct the agent to read arbitrary system files, access credentials, or transmit data to external endpoints outside the returns context. The instructions are domain-specific rather than open-ended 'gather any context' directives.
Install Mechanism
There is no install specification (instruction-only skill). That minimizes disk writes and third-party code installation. The repo includes evaluation and reference documents; one small evals/run_evals.py file exists but no install step is defined. No downloads, archives, or external package installation are requested.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. That is proportionate for an instruction-only returns guidance capability. There are no suspicious secrets requested or unrelated service credentials.
Persistence & Privilege
always is false, user-invocable and model invocation allowed are default and appropriate for a domain skill. The skill does not request permanent platform presence or to modify other skills' configs. Nothing indicates elevated privileges.
Assessment
This skill is an instruction/document resource for returns operations and appears internally consistent. Before installing: (1) verify you trust the skill source (GitHub homepage listed) and review the full SKILL.md for any organization-specific policy conflicts; (2) do not supply any production credentials or system access unless you intentionally integrate the skill with your OMS/WMS/CRM—if you do, audit what API calls or connectors you add at integration time; (3) be cautious about using autogenerated customer-facing text without redacting or validating personal data and legal wording; and (4) periodically review the skill copy for policy updates (return rules and legal guidance can change). If you want deeper assurance, provide the small evals/run_evals.py file contents for review to confirm it contains only harmless test harness code.

Like a lobster shell, security has layers — review code before you run it.

latestvk97bcgcbpq9vqscsde3dfy1znd81tgpt

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

🔄 Clawdis

Comments