returns-reverse-logistics

Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.

1.39x

Quality

87%

Does it follow best practices?

Impact

92%

1.39x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

The canonical home for this skill is tdg-personal/returns-reverse-logistics

Quality

Content

82%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A high-quality, knowledge-dense skill body that assumes Claude's competence and supplies genuinely specialized operational guidance with concrete thresholds and decision frameworks. Main gap is the absence of external reference files for the larger tables and templates, and a few risky workflows lack explicit validate-then-proceed loops.

Suggestions

Move the large tables (Disposition Routing, Fraud Scoring Model, Performance Indicators) and the communication templates into separate reference files and link them one level deep from SKILL.md to improve progressive disclosure.

Add an explicit validate-then-proceed checkpoint to the refund and fraud-hold steps in 'How It Works' (e.g., re-confirm fraud score and authority matrix before releasing or holding funds) to strengthen workflow_clarity on the riskiest decisions.

Trim the duplicated '15+ years experience' framing between the description and the 'Role and Context' section to tighten conciseness further.

Dimension	Reasoning	Score
Conciseness	Dense with specialized operational knowledge Claude would not already have (recovery economics, fraud indicators, grading tiers, vendor claim windows) and avoids padding with generic concepts; nearly every token earns its place.	5 / 5
Actionability	Provides concrete, specific guidance — exact thresholds ('Flag at 65+, hold at 80+', 'Claims > $500: Always pursue'), scoring tables, and decision trees — but as advisory judgment frameworks rather than copy-paste commands, so it stops just short of the fully-executable anchor.	4 / 5
Workflow Clarity	The six-step 'How It Works' sequence and escalation protocol with validation gates (fraud-score hold, supervisor approval triggers) give a clear sequence with most checkpoints present, though a couple of risky decisions lack an explicit validate-then-proceed loop.	4 / 5
Progressive Disclosure	Well-organized with clear section headers and explicit signaling that summaries are intentionally condensed for later expansion, but all content lives in a single ~220-line file with no bundle references for the heavier tables and templates that could be split out.	4 / 5
	Total	17 / 20 Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-scoped description that concretely enumerates capabilities and provides explicit 'Use when' trigger guidance with minimal overlap risk. Only minor weakness is the omission of a few natural synonyms (RMA, chargebacks) in the trigger list.

Dimension	Reasoning	Score
Specificity	Names the domain and lists multiple concrete actions — 'returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management' plus 'grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes' — giving comprehensive coverage.	5 / 5
Completeness	Explicitly answers both 'what' (codified expertise covering the listed capabilities and frameworks) and 'when' ('Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Good keyword coverage with natural user phrases ('product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims'), but a few common variations (e.g., 'RMA', 'chargebacks') are omitted, stopping just short of comprehensive.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear niche (returns/reverse logistics) with distinct, domain-specific triggers that are unlikely to fire for unrelated skills, giving minimal conflict risk.	5 / 5
	Total	19 / 20 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: affaan-m/ECC
Path: skills/returns-reverse-logistics/SKILL.md
Commit: 06c5e11

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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