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startup-analyst

Expert startup business analyst specializing in market sizing, financial modeling, competitive analysis, and strategic planning for early-stage companies.

52

Quality

57%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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

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

SKILL.md
Quality
Evals
Security

Quality

Content

48%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 content is well-structured with a clear sequenced workflow and explicit validation step, but it is heavily verbose with redundant sections restating the same expertise, and it relies on a dangling reference to a non-existent playbook file. Actionability is moderate: it directs behavior well but offers few reusable templates or worked examples.

Suggestions

Collapse the redundant Core Expertise / Capabilities / Knowledge Base sections into one concise map of domains and deliverables to remove padding.

Create the referenced `resources/implementation-playbook.md` (or remove the dangling reference) and move templates, benchmarks, and worked examples there for one-level-deep progressive disclosure.

Replace descriptive persona bullets (Behavioral Traits) with a few concrete output templates (e.g. a TAM worksheet, a unit-economics model skeleton) to raise actionability.

DimensionReasoningScore

Conciseness

The ~325-line body is noticeably verbose, with overlapping sections (Core Expertise, Knowledge Base, and Capabilities largely restate the same domains) and padded persona content (Behavioral Traits like "Data-driven", "Honest") that describes what Claude already knows about being an analyst.

2 / 5

Actionability

The Response Approach (10 sequenced steps) and Output Format / Calculations directives ("show: Formula used, Input values, Step-by-step calculation") give some concrete guidance, but the bulk is descriptive rather than providing templates, worked examples, or reusable artifacts.

3 / 5

Workflow Clarity

The 10-step Response Approach is a clear, ordered sequence with an explicit validation checkpoint (step 6 "Validate findings - Cross-check with benchmarks and alternatives"); it is not a destructive/batch operation so no cap applies, though error-recovery feedback loops are light.

4 / 5

Progressive Disclosure

Sections are well-headed and organized, but nearly all detail (frameworks, templates, benchmarks) is inlined in a single monolithic file, and the one external reference — "open `resources/implementation-playbook.md`" — points to a file that does not exist in the bundle.

3 / 5

Total

12

/

20

Passed

Description

66%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 is specific and third-person, clearly stating what the skill does, but it omits an explicit "Use when..." trigger clause, which caps completeness and leaves the "when to invoke" guidance only weakly implied. Trigger-term coverage is good but lacks common synonyms founders actually use.

Suggestions

Add an explicit trigger clause, e.g. "Use when a founder asks about TAM/SAM/SOM, financial modeling, unit economics, or fundraising preparation for a pre-seed to Series A company."

Include natural synonyms users say (TAM, startup, fundraising, unit economics, burn rate) to broaden trigger-term coverage.

Tighten the action wording toward concrete deliverables (e.g. "builds financial models", "sizes markets") rather than abstract domain labels.

DimensionReasoningScore

Specificity

Lists several specific analysis areas — "market sizing, financial modeling, competitive analysis, and strategic planning" — giving concrete capability scope, though these are domain labels rather than fully concrete actions as in the 5-anchor.

4 / 5

Completeness

Has a clear "what" (expert analyst specializing in the listed areas) but no explicit "Use when..." trigger clause, so per the boundary guidance "when" is only weakly implied and completeness is capped at 3.

3 / 5

Trigger Term Quality

Contains natural terms a founder might say ("market sizing", "financial modeling", "competitive analysis", "early-stage companies") but misses common synonyms like TAM, startup, fundraising, or unit economics, so a few natural terms are absent.

4 / 5

Distinctiveness Conflict Risk

The startup/early-stage niche plus the specific analysis types make it mostly distinct from generic business skills, with only minor overlap risk against general finance or strategy skills.

4 / 5

Total

15

/

20

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

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

Table of Contents

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