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referral-program

You are an expert in viral growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into growth engines.

50

Quality

56%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/referral-program/SKILL.md

The canonical home for this skill is referral-program in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

63%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.

The body is a richly actionable reference with concrete formulas, templates, and checklists, but it is verbose and monolithic — explaining concepts Claude already knows and inlining content that would benefit from separate reference files. Workflow sequencing is clear though it lacks explicit validation checkpoints.

Suggestions

Move the tool/platform lists, email templates, and example case studies into reference files (e.g., references/templates.md, references/tools.md) and link to them from the body to improve progressive disclosure and conciseness.

Trim explanation of widely-known concepts (what a viral coefficient is, referral-vs-affiliate definitions, the Dropbox/Uber stories) to the essentials Claude can act on.

Add explicit validation/review checkpoints to the design and launch workflows (e.g., 'Verify tracking/attribution fires before launch', 'Validate fraud rules against test referrals').

DimensionReasoningScore

Conciseness

Mostly efficient with substantial actionable content (formulas, benchmark numbers, templates, tables), but padded with concepts Claude already knows — Dropbox/Uber/Notion example stories, referral-vs-affiliate definitions, K-factor explanation, and time-sensitive tool name lists — that could be trimmed.

3 / 5

Actionability

Provides concrete, usable guidance: the Max Referral Reward formula with a worked example, ROI formula, commission ranges, cookie-duration table, outreach and email templates, and checklists; minor gaps keep it just below copy-paste-ready code-level concreteness.

4 / 5

Workflow Clarity

Design is sequenced as explicit Step 1/2/3 (trigger, share mechanism, incentive) and the launch checklist breaks into Before/Launch/Post-Launch with clear items; no destructive/batch validation cap applies, though explicit feedback/validation checkpoints are largely implicit rather than spelled out.

4 / 5

Progressive Disclosure

Well-organized with clear section headers, but it is a ~600-line monolith with no bundle files and no external references; reference-style content (tool lists, email templates, example case studies, affiliate details) that belongs in separate files is inlined.

3 / 5

Total

14

/

20

Passed

Description

48%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.

The description clearly identifies the referral-marketing domain and goal but is written in second person and omits any explicit 'Use when...' trigger guidance, which caps completeness. Trigger-term coverage is decent yet misses the 'affiliate' angle the body actually covers.

Suggestions

Rewrite in third person (e.g., 'Designs and optimizes referral and affiliate programs...') and drop 'You are an expert' framing.

Add an explicit Use-when clause naming natural triggers: 'Use when designing referral or affiliate programs, setting commission structures, or modeling viral growth.'

Include 'affiliate' alongside 'referral' so the description matches the skill's actual scope and improves trigger-term coverage.

DimensionReasoningScore

Specificity

Names the domain ('viral growth and referral marketing') and two actions ('design and optimize programs'), matching anchor 3, but reduced by 1 for second-person voice ('You are an expert', 'Your goal is') per the rubric's person-penalty guideline.

2 / 5

Completeness

States a clear 'what' ('help design and optimize programs that turn customers into growth engines') but provides no 'when'/Use-when trigger clause; the rubric caps completeness at 3 when explicit trigger guidance is missing.

3 / 5

Trigger Term Quality

Includes natural terms a user might say ('referral marketing', 'referral program', 'viral growth'), but omits a major synonym the skill itself covers ('affiliate'), so keyword coverage has notable gaps rather than being comprehensive.

3 / 5

Distinctiveness Conflict Risk

The referral/viral-growth niche is fairly distinct with specific triggers, carrying only minor overlap risk against broad marketing skills; not a 5 because it lacks affiliate mention that would sharpen its niche.

4 / 5

Total

12

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (609 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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