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architect

Designing new skill agents via gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration. Not for task orchestration (Nexus) or format-only audits (Gauge).

Quality

77%

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SecuritybySnyk

Passed

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tessl review fix ./architect/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

73%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 body is a dense, well-structured operating manual with explicit phase chains, hard thresholds, validation gates, and rollback feedback loops, plus a clearly signaled one-level-deep reference map. Its weaknesses are inline rationale prose, an inline time-sensitive governance date, and routing guidance repeated across multiple sections.

Suggestions

Move the Complexity Budget Gate rationale paragraph and the AAIF governance date (2025-12-09) into a reference file, keeping only the decision rule inline — the dated, version-specific content penalizes conciseness.

Consolidate the routing guidance that repeats across Trigger Guidance, Recipes, Output Routing, and the Reference Map into a single routing table to cut duplication.

Inline one short worked example for the default create flow (e.g., a sample overlap-score result or a minimal generated-description with positive and negative triggers) so common cases are covered without opening references.

DimensionReasoningScore

Conciseness

The body is dense and mostly high-signal — thresholds, phase chains, tables, no padding or explanations of known concepts — but inline rationale prose ('Rationale: overlap thresholds bound what a new skill *duplicates today* ...') and a time-sensitive governance date ('anchored under the Linux Foundation **Agentic AI Foundation (AAIF)** since 2025-12-09') placed outside any deprecated/old-patterns section keep it from fully efficient.

3 / 5

Actionability

Guidance is highly concrete for an instruction-only skill: exact thresholds ('30%+', '20 lines per session, 50 lines per month'), exact phase chains, named handoff blocks, and a precise activity-row format. Minor gaps: no inline worked example, and a few abstract directives ('Design context architecture first, prompt wording second') rely on reference files for execution detail.

4 / 5

Workflow Clarity

'UNDERSTAND → ENVISION → ANALYZE → DESIGN → GENERATE → VALIDATE' is given with a per-phase purpose/read-when table, VALIDATE is an explicit gate that 'blocks delivery until it passes', per-recipe VERIFY gates are stated, and self-modification has a rollback snapshot with 'automatic rollback on VERIFY failure' — explicit validation steps, feedback loops, and a referenced checklist.

5 / 5

Progressive Disclosure

A dedicated Reference Map with a 'Read This When' column, plus 'Read First'/'Read When'/'Read next' columns throughout, signals one-level-deep references well; however, the ~300-line body inlines substantial operational detail (threshold tables, compression contract, Complexity Budget Gate prose) and routing guidance repeats across Trigger Guidance, Recipes, Output Routing, and the Reference Map, keeping it short of a lean overview. No bundle files were provided to verify reference targets against.

4 / 5

Total

16

/

20

Passed

Description

70%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 names four concrete actions and carries explicit negative triggers that sharply reduce conflict risk, but trigger guidance is exclusively negative — no positive 'Use when' clause — and natural variations like 'create', 'improve', or 'compress' are missing. It sits solidly above average with a clear identity and clear exclusions.

Suggestions

Add a positive trigger clause, e.g. 'Use when the user wants to create, design, or improve a skill agent, or check the ecosystem for agent gaps or overlap' — the rubric caps completeness at 3 without one.

Include natural user phrasings and synonyms ('create a skill', 'build an agent', 'skill overlap', 'improve a skill') alongside the current jargon terms to lift trigger-term coverage.

Mention the other covered capabilities (compression, naming evaluation, validation) or explicitly scope them out, so the description's coverage matches the body's.

DimensionReasoningScore

Specificity

Lists four concrete actions — 'gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration' — but omits compression review, naming, validation, and self-evolution that the skill body actually covers, leaving minor gaps in coverage.

4 / 5

Completeness

The 'what' is clear ('Designing new skill agents via ...') but there is no positive 'Use when ...' clause; the only trigger guidance is negative ('Not for task orchestration (Nexus) or format-only audits (Gauge)'), which per the rubric caps completeness at 3.

3 / 5

Trigger Term Quality

'Designing new skill agents', 'gap analysis', and 'overlap detection' are phrases a user might naturally say, but common variations ('create', 'build', 'improve', 'compress a skill') are absent and 'Nexus'/'Gauge' are internal ecosystem jargon users will not utter.

4 / 5

Distinctiveness Conflict Risk

The niche (designing new skill agents) is distinct, and the explicit negative triggers route away from the two nearest neighbors ('Not for task orchestration (Nexus) or format-only audits (Gauge)'), minimizing misfire risk.

5 / 5

Total

16

/

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

simota/agent-skills

Path

architect/SKILL.md

Reviewed

Table of Contents

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