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quality-nonconformance

Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing.

63

Quality

75%

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

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

SKILL.md
Quality
Evals
Security

Quality

Content

85%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.

A thorough, highly actionable domain-expertise skill with clear sequenced workflows, validation checkpoints, and well-structured progressive disclosure into three reference files; its main weakness is re-explaining well-known quality frameworks Claude already knows.

Suggestions

Trim or condense explanations of widely-known frameworks (5 Whys mechanics, Ishikawa 6M, Western Electric rules, Juran COQ percentages) to the manufacturing-specific guidance that Claude would not already know.

Consider moving the SPC chart-selection and capability-index reference detail into decision-frameworks.md, keeping only the decision rule inline.

The duplicate 'When to Use' section at the end (lines 230-235) repeats the opening trigger guidance — consolidate to one location.

DimensionReasoningScore

Conciseness

The body is dense and mostly domain-valuable, but it re-explains frameworks Claude already knows (5 Whys, Ishikawa 6M, SPC chart selection, Western Electric rules, Juran's COQ model), which is padding that could be trimmed.

3 / 5

Actionability

As an instruction-only skill it gives highly concrete guidance: specific regulatory clauses (21 CFR 820.90, IATF 16949 §8.7), numbered decision logic, template subject-line formats, and tables mapping triggers to actions with timelines and metric targets.

5 / 5

Workflow Clarity

Multi-step processes are clearly sequenced (NCR lifecycle, disposition decision logic 'first path that applies governs', CAPA effectiveness verification 1–4) with explicit validation checkpoints and feedback loops such as 'If recurrence occurs... reopen and re-investigate.'

5 / 5

Progressive Disclosure

The body summarizes edge cases, templates, and decision frameworks inline while pointing to three real one-level-deep reference files (edge-cases.md, communication-templates.md, decision-frameworks.md) with clear signaling and a consolidated Additional Resources section.

5 / 5

Total

18

/

20

Passed

Description

65%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 distinctive, keyword-rich description that clearly stakes out its regulated-manufacturing quality niche, but it is framed as expertise rather than concrete actions and lacks an explicit 'Use when...' trigger clause.

Suggestions

Rewrite the opening as concrete actions, e.g. 'Investigates non-conformances, performs root cause analysis, manages CAPA, and audits supplier quality in regulated manufacturing.'

Add an explicit trigger clause such as 'Use when investigating product defects, managing CAPA, interpreting SPC data, or auditing supplier quality in regulated manufacturing.'

Include common acronym/synonym triggers (NCR, CAPA, RCA, SCAR, MRB) so the description matches how practitioners phrase requests.

DimensionReasoningScore

Specificity

The description names the domain and several activities ('non-conformance investigation, root cause analysis, corrective action, and supplier quality management') but frames them as 'Codified expertise for...' rather than concrete actions Claude performs, so coverage is present but not action-oriented.

3 / 5

Completeness

It gives a clear 'what' (codified expertise across five quality domains) but provides no 'Use when...' trigger clause, so per the rubric a missing explicit trigger guidance caps completeness at 3.

3 / 5

Trigger Term Quality

It includes natural practitioner keywords ('non-conformance', 'root cause analysis', 'corrective action', 'supplier quality', 'regulated manufacturing') that users would actually say, though synonyms and acronym variants (CAPA, RCA, NCR) are absent.

4 / 5

Distinctiveness Conflict Risk

The niche — quality/non-conformance management in regulated manufacturing — is sharply defined and unlikely to trigger for unrelated skills.

5 / 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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