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alethia

Use Alethia, a patent-pending agent-native software runtime for executing and verifying application workflows, to interact with a real browser, run E2E checks, enforce safety policies, audit accessibility or security, and export signed evidence. Requires the @vitronai/alethia MCP server to be configured. Trigger patterns include "test this page," "verify the login flow," "audit accessibility," "compliance audit," "run WCAG/NIST," "check that deletes are blocked," and similar.

Quality

84%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%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.

Highly actionable, well-sequenced content with genuine feedback loops and concrete executable examples for every workflow. The main weaknesses are token efficiency (duplicated grant guidance, version-specific troubleshooting details, promotional prose) and a monolithic structure that inlines troubleshooting and pattern catalogs instead of splitting them into reference files.

Suggestions

Split the bootstrap/troubleshooting section and the NLP pattern catalogs into one-level-deep reference files (e.g. references/troubleshooting.md, references/nlp-patterns.md), keeping SKILL.md as a lean overview with clearly signaled links.

Deduplicate the grant-policy guidance: state the rules once in the 'Operator grants' section and have the 'Don't' section reference it in one line instead of restating the policy.

Move version-specific details (the bridge 0.6.1 transport fix, npx-cache remedies) into a 'Known issues' section or reference file so time-sensitive information doesn't penalize the evergreen body.

DimensionReasoningScore

Conciseness

Mostly efficient tool-specific content, but there is real tightening to do: the grant-policy rules appear twice (the dense "Operator grants" paragraph and again in "Don't"), the intro paragraph restates the description with promotional tone, and time-sensitive version details ("fixed in bridge 0.6.1") appear outside any known-issues section. Not 4 because the duplication and version-specific padding go beyond minor trim instances; not 2 because nearly all content is Alethia-specific knowledge Claude cannot already know.

3 / 5

Actionability

Fully executable throughout: exact tool invocations (alethia_tell({ instructions: ... })), copy-paste NLP example blocks, a complete MCP config JSON, eval expressions with expected return values ("32px", 320, 6), and npm commands. Common cases (smoke test, audit, safety proof, live demo) each get a concrete recipe.

5 / 5

Workflow Clarity

Multi-step flows are clearly sequenced with explicit validation: the dev feedback loop (write → navigate → eval → correct → repeat), "When smart assertions fail" with nearMatches/suggestedFix/pageContext as an explicit read-then-retry feedback loop, and the safety proof where "Any blocked:false row is a safety regression" defines the pass/fail checkpoint. The destructive-action workflow (expect block:) includes pass/fail criteria, so the validation cap for destructive operations does not apply.

5 / 5

Progressive Disclosure

The 230-line body is a single monolith with no bundle files at all: the bootstrap/troubleshooting section (~40 lines of npx-cache and transport-error remedies) and the NLP pattern/eval-example catalogs are reference material that clearly belongs in separate one-level-deep files. Sections are well-headered, which keeps it above 2, but the skill is far over the ~50-line threshold where inline-only organization would be acceptable; not 4 because substantial reference content is inlined rather than split.

3 / 5

Total

16

/

20

Passed

Description

83%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: concrete capability list, explicit natural-language trigger phrases, and a named product/MCP dependency that anchors distinctiveness. Weaknesses are the marketing-fluff opening ("patent-pending agent-native") and a few missing common trigger synonyms like "end-to-end test" or "browser test."

DimensionReasoningScore

Specificity

Lists several concrete actions — "interact with a real browser, run E2E checks, enforce safety policies, audit accessibility or security, and export signed evidence" — giving broad coverage, but the opening "patent-pending agent-native software runtime for executing and verifying application workflows" is marketing fluff rather than capability description. Not 5 due to the buzzword padding; not 3 because the action list goes well beyond 1-2 generic actions.

4 / 5

Completeness

Explicitly answers both what ("interact with a real browser, run E2E checks, enforce safety policies, audit accessibility or security, and export signed evidence") and when ("Trigger patterns include..." with concrete quoted phrases). This matches the anchor for clear what + when with concrete trigger phrases; the "Use when" guidance is present in equivalent, explicit form.

5 / 5

Trigger Term Quality

Natural trigger phrases are explicitly given — "test this page," "verify the login flow," "audit accessibility," "compliance audit," "run WCAG/NIST," "check that deletes are blocked" — phrases a user would plausibly say. Not 5 because common variations like "end-to-end test," "browser test," or "smoke test" are absent; not 3 because the listed phrases are genuinely natural rather than technical jargon.

4 / 5

Distinctiveness Conflict Risk

Names a specific product (Alethia, @vitronai/alethia MCP server) with a distinct niche — agent-driven browser testing with safety gates and signed evidence. Not 5 because somewhat generic triggers like "audit accessibility" and "compliance audit" could overlap with other audit/testing skills; not 3 because the named runtime and MCP-server requirement keep it mostly distinct.

4 / 5

Total

17

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

vitron-ai/alethia-mcp

Path

skills/alethia/SKILL.md

Reviewed

Table of Contents

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