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twilio-debugging-observability

Debug Twilio integrations and set up production observability. Covers the Console Debugger, Monitor Alerts API, Event Streams for error log streaming, status callback tracking, common error codes, and a systematic debugging workflow. Use this skill whenever a Twilio integration produces errors, messages fail to deliver, calls drop unexpectedly, or you need to set up monitoring for a production deployment.

73

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

88%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 thorough, actionable debugging and observability skill with executable examples, a clearly sequenced workflow with validation cues, and well-structured sections. The main improvement area is progressive disclosure: the single large file could offload some API reference detail into bundle files.

Suggestions

Move the long 'Common Error Codes' table and per-API query snippets into a references/ file, keeping SKILL.md as a concise overview with one-level-deep links.

Trim minor explanatory asides (e.g. 'The Twilio SDK does not wrap Event Streams — use requests / fetch directly') where the code itself makes the approach clear.

Convert the backtick 'Next Steps' skill names into actual links so navigation between related skills is explicit and clickable.

DimensionReasoningScore

Conciseness

The body is lean and code/table-driven with almost no padding of concepts Claude already knows, but contains minor explanatory asides ('The Twilio SDK does not wrap Event Streams — use requests / fetch directly') that keep it just below the fully-trimmed anchor 5.

4 / 5

Actionability

Copy-paste ready Python and Node.js snippets, concrete curl test commands, and fix tables cover the common cases and are fully executable rather than pseudocode.

5 / 5

Workflow Clarity

The 'Systematic Debugging Workflow' numbers six ordered steps, explains ordering ('Why status callbacks first'), and includes validation cues ('Verify endpoint is live: curl -I') plus a rule of thumb for error recovery.

5 / 5

Progressive Disclosure

Well-organized into clearly headed sections (Quickstart, numbered Key Patterns, CANNOT, Next Steps) with no nested references, but it is a single monolithic file — some of the per-pattern API detail could be split into reference files for a cleaner anchor-5 overview.

4 / 5

Total

18

/

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 description that clearly states concrete capabilities and provides explicit, natural trigger conditions scoped to the Twilio debugging/observability domain. The only minor gap is keyword/synonym breadth, but it is otherwise exemplary.

DimensionReasoningScore

Specificity

Names multiple concrete capabilities — 'Console Debugger, Monitor Alerts API, Event Streams for error log streaming, status callback tracking, common error codes, and a systematic debugging workflow' — matching the comprehensive-coverage anchor rather than the 4 anchor's 'minor gaps'.

5 / 5

Completeness

Explicitly answers both 'what' (debug + observability capabilities) and 'when' via 'Use this skill whenever a Twilio integration produces errors...', matching the anchor-5 example structure closely.

5 / 5

Trigger Term Quality

Includes natural user phrases ('messages fail to deliver', 'calls drop unexpectedly', 'set up monitoring') with good coverage, but stays at 4 because it relies on situational phrasing rather than a broad spread of synonyms and keywords the anchor-5 example demonstrates.

4 / 5

Distinctiveness Conflict Risk

Twilio-specific debugging/observability niche with distinct triggers ('Twilio integration produces errors', 'messages fail to deliver') and minimal overlap risk with other skills.

5 / 5

Total

19

/

20

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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