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iikit-clarify

Resolve ambiguities in any project artifact — auto-detects the most recent artifact (spec, plan, checklist, testify, tasks, or constitution), asks targeted questions with option tables, and writes answers back into the artifact's Clarifications section. Use when requirements are unclear, a plan has trade-off gaps, checklist thresholds feel wrong, test scenarios are imprecise, task dependencies seem off, or constitution principles are vague.

83

1.74x
Quality

92%

Does it follow best practices?

Impact

82%

1.74x

Average score across 14 eval scenarios

SecuritybySnyk

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The risk profile of this skill

The canonical home for this skill is tessl-labs/intent-integrity-kit

SKILL.md
Quality
Evals
Security

Quality

Content

85%Scale 1-3

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

This is a well-structured, highly actionable skill with clear workflow sequencing, explicit validation checkpoints, and good progressive disclosure to reference files. The main weakness is moderate verbosity — dual OS command variants and some sections that could be more compact — but overall it's a strong skill that provides concrete, executable guidance for a complex multi-step clarification process.

Suggestions

Consider consolidating Windows command variants into a single reference note (e.g., 'For Windows equivalents, replace `bash .../*.sh` with `pwsh .../*.ps1` and flags use `-PascalCase`') to reduce repetition across multiple sections.

DimensionReasoningScore

Conciseness

The skill is fairly efficient and avoids explaining basic concepts, but some sections could be tightened — e.g., the repeated Windows command variants add bulk, and some behavioral rules restate what's implicit. Overall mostly lean but not maximally token-efficient.

2 / 3

Actionability

Provides concrete, executable bash/powershell commands, specific file paths, exact output formats, clear mapping tables, and precise integration steps. The guidance is copy-paste ready with specific scripts, flags, and commit message templates.

3 / 3

Workflow Clarity

The multi-step process is clearly sequenced (prerequisites → detection → scan → question → integrate → validate → report → commit → dashboard → next steps) with explicit validation after each write, feedback loops (re-run prerequisites after selection), and clear error handling (no artifacts found → specific error message).

3 / 3

Progressive Disclosure

The skill provides a clear overview workflow inline while appropriately delegating detailed references to separate files (ambiguity-taxonomies.md, conversation-guide.md, clarification-format.md, constitution-loading.md, model-recommendations.md). References are one level deep and clearly signaled with descriptive link text.

3 / 3

Total

11

/

12

Passed

Description

100%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.

This is an excellent skill description that clearly articulates what the skill does (resolve ambiguities via targeted questions and option tables, writing back to a Clarifications section), when to use it (six specific trigger scenarios), and which artifact types it supports. It uses third-person voice throughout, includes natural trigger terms, and occupies a distinct niche that would be easy to differentiate from other skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: auto-detects the most recent artifact, asks targeted questions with option tables, and writes answers back into the artifact's Clarifications section. Also enumerates specific artifact types (spec, plan, checklist, testify, tasks, constitution).

3 / 3

Completeness

Clearly answers both 'what' (resolve ambiguities by auto-detecting artifacts, asking targeted questions with option tables, writing answers into Clarifications section) and 'when' (explicit 'Use when...' clause listing six specific trigger scenarios).

3 / 3

Trigger Term Quality

Includes strong natural trigger terms users would say: 'requirements are unclear', 'trade-off gaps', 'thresholds feel wrong', 'test scenarios are imprecise', 'task dependencies seem off', 'principles are vague', 'ambiguities', 'clarifications'. These cover a wide range of natural phrasings.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive — focuses specifically on resolving ambiguities in project artifacts by writing to a Clarifications section, which is a very specific niche. The enumeration of artifact types (spec, plan, checklist, testify, tasks, constitution) and the specific mechanism (option tables, Clarifications section) make it unlikely to conflict with other skills.

3 / 3

Total

12

/

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.

Validation — 11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
JaviMontano/mao-iic
Reviewed

Table of Contents

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