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returns-reverse-logistics

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

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills/skills/returns-reverse-logistics/SKILL.md

The canonical home for this skill is returns-reverse-logistics in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

78%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 strong, highly actionable reference skill: concrete scoring models, matrices, formulas, and escalation gates dominate the body, and detail is appropriately deferred to three well-organized, one-level-deep reference files. The main weakness is token efficiency — persona padding, a duplicated 'When to Use' section, and a few self-evident explanations could be trimmed.

Suggestions

Remove the duplicated 'When to Use' section at the bottom of the body (lines 211-216), keeping only the single instance near the top.

Trim the 'Role and Context' persona paragraph and self-evident explanations (e.g., the 'A return is a customer exercising their right to reverse a purchase' sentence) to tighten token usage.

Add a brief end-to-end RMA lifecycle sequence (authorize → receive → inspect/grade → disposition → refund) at the top to tie the topic sections into one coherent workflow.

DimensionReasoningScore

Conciseness

The bulk is dense, non-generic domain expertise (recovery rates 5-20%, restocking cost $3-8/unit, fraud point values, claim thresholds) that earns its place, but there is noticeable padding: the persona framing "You are a senior returns operations manager with 15+ years", a duplicated 'When to Use' section (appearing at both the top and bottom of the body), and some self-evident explanation ("A return is a customer exercising their right to reverse a purchase"). Not 4 given a fully redundant section plus several padded passages; not 2 because most content is specialized knowledge Claude would not already have.

3 / 5

Actionability

Fully executable decision guidance throughout: the point-valued fraud scoring model ("Return rate > 30% (rolling 12 mo) +15", "Flag for review at 65+, hold refund at 80+"), the vendor recovery ROI formula "(Expected credit × probability of collection) > (Labour cost + shipping cost + relationship cost)" with claim-size rules, the category×grade disposition matrix, and escalation triggers with concrete timelines. Specific examples cover the common cases; no minor gaps found.

5 / 5

Workflow Clarity

Sequenced processes with explicit checkpoints are present: the 5-step ordered exception evaluation, the RTV flow (accumulate → obtain authorisation → ship → track credit), the escalation chain with time bounds, and gates like "Supervisor approval required before refund" and "Halt return processing, coordinate with payments team". Not 5 because there is no single end-to-end RMA lifecycle sequence connecting the sections, and some validation checkpoints (e.g., inspection audit) are only implied via KPI targets rather than in-flow steps; not 3 because checkpoints are explicit in the escalation and fraud flows.

4 / 5

Progressive Disclosure

Clean overview pattern with well-signaled, verified one-level references: all three cited files exist (references/edge-cases.md, references/communication-templates.md, references/decision-frameworks.md) and contain no nested references. Inline content is explicitly brief ("Brief summaries — see [edge-cases.md](references/edge-cases.md) for full analysis"; "Brief templates below. Full versions with variables in [communication-templates.md]"), and the 'Additional Resources' section maps each file's purpose, making navigation easy.

5 / 5

Total

17

/

20

Passed

Description

66%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 specific, domain-niched description that clearly conveys capability areas, but it lacks any explicit 'Use when...' trigger clause, capping its completeness. Keyword coverage is good though missing common variations like 'return policy', 'RMA', and 'reverse logistics'.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user mentions returns, RMA, return policy, refunds, reverse logistics, return fraud, or warranty claims.'

Include natural trigger variations such as 'return policy', 'RMA', 'reverse logistics', and 'customer returns' alongside the existing capability keywords.

Mention vendor recovery / return-to-vendor (RTV), which is a whole section of the skill body but absent from the description.

DimensionReasoningScore

Specificity

Lists six concrete capability areas ("returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management"), matching the 'several specific actions' anchor. Not 5 because the areas are noun-phrase domains rather than direct action verbs and vendor recovery (RTV), a full body section, is omitted; not 3 because coverage goes well beyond 1-2 actions.

4 / 5

Completeness

The 'what' is clear and multi-part, but there is no "Use when..." clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. The 'when' is only weakly implied by the domain listing itself.

3 / 5

Trigger Term Quality

Phrases like "returns authorisation", "refund processing", "fraud detection", and "warranty claims" are natural terms users would say, giving good keyword coverage. Not 5 because common variations are missing ("return policy", "RMA", "reverse logistics", "customer returns"); not 3 because coverage is genuinely good rather than only 'some relevant keywords'.

4 / 5

Distinctiveness Conflict Risk

The combination of "returns authorisation", "disposition decisions", and "refund processing" clearly niches this in returns/reverse logistics. Not 5 because "fraud detection" and "warranty claims management" could individually match standalone fraud-detection or warranty skills; not 3 because the returns framing dominates and overlap is minor.

4 / 5

Total

15

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

plugins/AI-Agents-Safe-Coding-Skills/skills/returns-reverse-logistics/SKILL.md

Reviewed

Table of Contents

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