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moody-s-earnings-brief

Produce an Earnings Call Summary HTML report for 2–5 companies using Moody's GenAI MCP tools. Use this skill whenever the user asks to summarize earnings calls, generate an earnings call summary, analyze earnings transcripts across peers, or create an earnings call report. Trigger even if they just name companies and mention "earnings" or "transcript".

74

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%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.

The body is highly actionable with concrete tool calls, element IDs, and validation checkpoints across a well-sequenced workflow. Its main weakness is repetition of the output contract and missing-transcript rules, which inflates token use without adding new guidance.

Suggestions

Consolidate the output contract into one authoritative statement; have the Tips and Step 4 reference it rather than restating it verbatim.

Centralize the missing-transcript policy once and have each section reference it, instead of repeating the omit/placeholder rules per section.

Consider moving the long per-section synthesis rules (a-l) into a reference file to keep SKILL.md as a tighter overview.

DimensionReasoningScore

Conciseness

Mostly efficient and free of concept-explaining padding, but the output contract is restated three times (the CRITICAL box, Step 4, and the Tips section) and the missing-transcript policy is repeated across several sections, which could be tightened.

2 / 3

Actionability

Provides concrete executable guidance throughout: named MCP tools (findEntity, searchEntityEarningsCall), exact output path (/mnt/user-data/outputs/), precise element IDs, copy-paste HTML snippets, and explicit class-selection rules.

3 / 3

Workflow Clarity

Steps 1-5 are clearly sequenced with parallel batching instructions, explicit missing-tool handling, the 100-day recency rule, and the missing-transcript policy acting as a validation/feedback checkpoint.

3 / 3

Progressive Disclosure

Overview points to one-level-deep, clearly signaled references (assets/template.html confirmed as a real bundle file, plus shared template and citations skills) with well-organized sections and easy navigation.

3 / 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.

The description is concise, specific, and gives clear natural-language triggers covering both what the skill does and when to use it. Third person voice is maintained throughout. No vague fluff or over-claims.

DimensionReasoningScore

Specificity

Lists concrete, specific actions ('Produce an Earnings Call Summary HTML report', 'for 2-5 companies', 'using Moody's GenAI MCP tools') matching the multiple-specific-actions anchor.

3 / 3

Completeness

Explicitly answers both what ('Produce an Earnings Call Summary HTML report') and when ('Use this skill whenever the user asks to summarize earnings calls...Trigger even if they just name companies and mention earnings or transcript').

3 / 3

Trigger Term Quality

Strong coverage of natural phrasings a user would say ('summarize earnings calls', 'generate an earnings call summary', 'analyze earnings transcripts across peers', 'earnings', 'transcript').

3 / 3

Distinctiveness Conflict Risk

Clear niche (Moody's GenAI MCP earnings call summary HTML report) with distinct triggers unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 9 suspicious

Warning

Total

15

/

16

Passed

Repository
openai/plugins
Reviewed

Table of Contents

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