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cove-prompt-design

Explains Chain of Verification (CoVe) prompt design — a 4-step pattern separating generation from independent factual verification. Use when designing prompts that require factual accuracy, reducing hallucinations, checking technical standards or APIs, or producing step-by-step procedures where subtle errors are costly.

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./.claude/skills/cove-prompt-design/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 well-structured, actionable guide to CoVe with a clear sequenced workflow and concrete templates and examples. Its main weakness is redundancy: the core 4-step pattern and the chain-of-thought distinction are each repeated multiple times.

Suggestions

Consolidate the three restatements of the 4-step CoVe structure (Core CoVe Structure, With CoVe example, Practical Prompt Template) into one canonical template plus one worked example to reduce redundancy.

Merge the duplicated chain-of-thought distinction (the intro line and the 'CoVe vs Chain of Thought' section) into a single concise contrast.

Add one fully worked end-to-end example showing verification questions both asked and independently answered before the final revised answer, to push actionability from concrete guidance to copy-paste-ready completeness.

DimensionReasoningScore

Conciseness

Mostly efficient per section, but the 4-step CoVe structure is restated three times (Core CoVe Structure, With CoVe example, Practical Prompt Template) and the chain-of-thought distinction is repeated twice, so it could be tightened — matching anchor 3 rather than 2 since it is not padded with basics Claude lacks.

3 / 5

Actionability

Provides a copy-paste-ready Practical Prompt Template plus concrete good/bad verification-question examples and with/without-CoVe contrasts; the minor gap of no fully worked end-to-end verified example keeps it at anchor 4 rather than 5.

4 / 5

Workflow Clarity

The CoVe process is a clearly sequenced 4-5 step workflow with an explicit verify-then-revise feedback loop ('If any answer reveals an error or uncertainty, revise the original answer'), matching anchor 4; it is not 5 because the recovery loop is only lightly specified.

4 / 5

Progressive Disclosure

Well-organized with clear section headers and appropriately self-contained with no external references needed, matching anchor 4 ('good structure; most content appropriately placed'); the over-50-line size means the small-skill 5-exception does not apply.

4 / 5

Total

15

/

20

Passed

Description

78%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 clearly and explicitly covers both what the skill does and when to use it, with strong natural trigger phrases and a distinct named-methodology niche. Its only weakness is that it states one conceptual action rather than enumerating several concrete capabilities.

DimensionReasoningScore

Specificity

Names the CoVe domain and one concrete conceptual action ('separating generation from independent factual verification') but does not list several specific actions, matching anchor 3 rather than 4.

3 / 5

Completeness

Explicitly answers both what ('Explains CoVe prompt design — a 4-step pattern...') and when ('Use when designing prompts that require factual accuracy...') with concrete trigger phrases, matching anchor 5.

5 / 5

Trigger Term Quality

Natural trigger phrases like 'designing prompts', 'factual accuracy', 'reducing hallucinations', and 'step-by-step procedures' give good coverage, though synonyms and extension-style variants are missing so it falls short of anchor 5.

4 / 5

Distinctiveness Conflict Risk

Names a specific methodology (CoVe) with a clear niche and distinct triggers, with only minor overlap risk against general prompt-design skills, matching anchor 4 rather than 5.

4 / 5

Total

16

/

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.

Validation — 15 / 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
Jamie-BitFlight/claude_skills
Reviewed

Table of Contents

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