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earnings-review

Full earnings analysis with guidance tracking for a given company

56

Quality

63%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./plugins/daloopa/skills/earnings-review/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

The skill is highly actionable and well-sequenced with strong conditional error handling, but its length and inline analytical commentary leave it mid-pack on conciseness and progressive disclosure.

Suggestions

Trim meta-commentary and analytical-framework prose that Claude can derive itself (e.g., the Margin Driver Synthesis and Trend Synthesis bullet lists) to tighten conciseness.

Move the long industry-KPI catalog and the read-through examples into a separate reference file linked one level deep, leaving SKILL.md as a lean overview.

Add an explicit validation checkpoint before Save Report (e.g., confirm every required table is populated and citations resolve) to formalize the existing conditional handling.

DimensionReasoningScore

Conciseness

The body is mostly actionable but padded with meta-commentary ("This turns the margin table from Section 4 into an analytical narrative", "This is one of the most valuable sections of the report") and analytical frameworks Claude already applies, fitting 'mostly efficient but includes some unnecessary explanation'.

2 / 3

Actionability

It gives concrete tool names (discover_companies, get_stock_prices), exact search-query templates, formulas (EBITDA = Operating Income + D&A; FCF = OCF - CapEx), a citation format, and a save path — fully executable, copy-paste-ready guidance.

3 / 3

Workflow Clarity

A clearly numbered 1–8 sequence with subsections is paired with explicit conditional recovery (empty search → try broader keywords; missing consensus → skip and note; no ticker → ask first), providing clear sequencing with feedback loops.

3 / 3

Progressive Disclosure

External references (../data-access.md, ../design-system.md) are well-signaled and one level deep, but the ~227-line body is a monolithic wall with inline KPI lists and read-through examples that could be split into separate files, matching 'some structure but content that should be separate is inline'.

2 / 3

Total

10

/

12

Passed

Description

50%

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 conveys a clear domain and one distinguishing action, but it omits any 'Use when' trigger guidance and lacks comprehensive concrete actions or natural keyword variations, leaving every dimension at the midpoint.

Suggestions

Add a 'Use when…' clause naming natural triggers (e.g., earnings reports, quarterly results, guidance beat/miss analysis) to raise completeness and trigger-term quality.

Expand the action list beyond 'analysis' and 'guidance tracking' to specific concrete outputs (e.g., pull metrics, compute margins, compare guidance vs actuals, generate an HTML report).

Include common user phrasings like 'earnings review' or 'quarterly earnings' to improve distinctiveness and reduce conflict with generic financial-analysis skills.

DimensionReasoningScore

Specificity

"Full earnings analysis with guidance tracking" names the domain and a concrete action (guidance tracking), but does not list multiple specific actions, matching the 'names domain and some actions, but not comprehensive' anchor.

2 / 3

Completeness

It clearly states what the skill does but provides no "Use when…" trigger clause, so 'when' is missing; per the guideline a missing explicit trigger caps completeness at 2.

2 / 3

Trigger Term Quality

It includes relevant keywords like "earnings analysis" and "guidance tracking" a user might say, but misses common variations such as "earnings report", "quarterly results", or "earnings review", fitting 'some relevant keywords but missing common variations'.

2 / 3

Distinctiveness Conflict Risk

"Full earnings analysis with guidance tracking for a given company" is a fairly specific niche, but without explicit triggers it could still overlap with broader financial-analysis skills, matching 'somewhat specific but could still overlap'.

2 / 3

Total

8

/

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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