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twilio-whatsapp-send-message

WhatsApp messaging deep-dive reference. Covers the 24-hour service window rules (free-form vs template mode), sandbox setup for testing, template approval workflow, production sender requirements, and WhatsApp-specific error handling. For sending WhatsApp messages, use twilio-send-message instead. Use this skill when setting up WhatsApp for the first time or debugging WhatsApp-specific delivery behavior.

77

Quality

96%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-3

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

A tight, highly actionable WhatsApp messaging reference with executable code, concrete error guidance, and clear operational guardrails. Its only weakness is that it remains a single long file with no progressive offloading of reference material into bundle files.

Suggestions

Move the Response Fields and Common Errors tables (and optionally the template/media patterns) into a references/ file linked from the body to shorten SKILL.md and demonstrate one-level-deep progressive disclosure.

Add a short 'Before you send' checklist summarizing the mode-selection guardrail so the single critical operational decision is unmissable at a glance.

DimensionReasoningScore

Conciseness

Lean and dense: assumes Claude knows Python/Node/Twilio basics, uses compact tables for modes/response fields/errors, and includes no 'what is WhatsApp' filler; every section earns its place.

3 / 3

Actionability

Provides fully executable Python and Node quickstart plus template and media patterns with real parameters, concrete sandbox join instructions, specific error codes with fixes, and MPS limits — copy-paste ready with no pseudocode.

3 / 3

Workflow Clarity

Sequences prerequisites → setup → quickstart → mode-specific patterns with an explicit guardrail ('Sending free-form outside the window causes silent delivery failure — always check which mode is required') and a mode decision table; no destructive/batch feedback loop is required for this reference skill.

3 / 3

Progressive Disclosure

Well-organized single file with clear sections and zero nested references, but at ~150 lines it is a monolithic document where the Response Fields, Common Errors, and pattern sections could be offloaded to separate reference files; no bundle files exist to support deeper disclosure.

2 / 3

Total

11

/

12

Passed

Description

100%Weight 40%Scale 1-3

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 high-quality description that states concrete capabilities, provides explicit use-when triggers, and actively distinguishes itself from the sibling send-message skill. No vague fluff or over-claims.

DimensionReasoningScore

Specificity

Enumerates five concrete capability areas (24-hour window rules, sandbox setup, template approval workflow, production sender requirements, WhatsApp-specific error handling), matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both what ('Covers... error handling') and when ('Use this skill when setting up WhatsApp for the first time or debugging WhatsApp-specific delivery behavior'), with an explicit Use-when clause.

3 / 3

Trigger Term Quality

Uses natural phrasings a user would say ('setting up WhatsApp for the first time', 'debugging WhatsApp-specific delivery behavior', 'sending WhatsApp messages'); coverage maps well to real user triggers.

3 / 3

Distinctiveness Conflict Risk

Occupies a narrow WhatsApp niche and actively disambiguates from a sibling skill ('For sending WhatsApp messages, use twilio-send-message instead'), giving it clear distinct triggers with low conflict risk.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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