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iterate-until-verified

Apply a prompt-agnostic execution and verification loop to any substantial task while preserving the original request. Use when the user asks to fan out work, use subagents or independent reviewers, loop until done, benchmark against references, apply a harsh critic, compare candidates blind, improve an existing prompt with verification, or continue until explicit quality gates pass.

73

Quality

90%

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SKILL.md
Quality
Evals
Security

Quality

Content

81%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 well-structured, instruction-only meta-process skill with an excellent sequenced workflow, explicit validation checkpoints, and a reusable compose-mode template. It is lean and assumes competence, with only minor room for tightening and example-working.

DimensionReasoningScore

Conciseness

Dense and directive, assuming Claude's competence (no explaining what subagents or verification are), but the 'Completion checks' section restates prior sections and the document runs ~157 lines, leaving minor tightening possible.

4 / 5

Actionability

Provides concrete guidance — an acceptance-matrix table template, explicit loop steps 1-7, blind-comparison rules, and a copy-paste compose-mode template — but most direction is process-level rather than fully worked executable examples.

4 / 5

Workflow Clarity

A clearly sequenced seven-step process with explicit validation checkpoints ('Record pass, fail, or blocked with evidence', 'Re-run the failed gate'), feedback loops for error recovery, and a closing checklist — matching the top anchor.

5 / 5

Progressive Disclosure

Well-organized into numbered sections with clear headers and no nested references; the skill is self-contained with no bundle files, though as a ~157-line single document some template material could conceivably be split out.

4 / 5

Total

17

/

20

Passed

Description

100%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, third-person description that concretely states capabilities and provides an explicit, trigger-rich 'Use when' clause. It is specific, comprehensive, and clearly distinguishable from other skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'execution and verification loop', 'fan out work', 'use subagents or independent reviewers', 'benchmark against references', 'apply a harsh critic', 'compare candidates blind', 'improve an existing prompt with verification' — giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly states both what ('Apply a prompt-agnostic execution and verification loop...') and when ('Use when the user asks to fan out work... or continue until explicit quality gates pass') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Covers natural phrases users actually say — 'fan out work', 'subagents', 'loop until done', 'harsh critic', 'compare candidates blind', 'quality gates' — with synonyms and variations rather than jargon.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (iterative execution-and-verification workflow with preserved task contract) with distinct triggers unlikely to fire for unrelated skills.

5 / 5

Total

20

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
MengTo/Skills
Reviewed

Table of Contents

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