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bmad-advanced-elicitation

Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.

80

Quality

100%

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

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 lean, action-oriented skill that delegates its large catalog to a real bundled script (pick_methods.py + methods.csv) rather than inlining it, with a clearly sequenced workflow and explicit yes/no validation checkpoints. It avoids explaining concepts Claude already knows and stays token-efficient throughout.

DimensionReasoningScore

Conciseness

The body is lean and directive, assuming Claude's competence without explaining what elicitation methods are or padding with known concepts; every section earns its place (commands, menu template, response handling). Not a 2 because there is no unnecessary explanation or filler to tighten.

3 / 3

Actionability

Provides concrete, executable commands — `uv run {skill-root}/scripts/pick_methods.py --file {workflow.methods_file} <command>` plus the categories/list/show/random subcommands and an exact menu template — all backed by the real pick_methods.py script, matching the copy-paste-ready level-3 anchor.

3 / 3

Workflow Clarity

Multi-step flow is explicitly sequenced (On Activation → Serving the Catalog → The Menu → Running a Method) with feedback checkpoints such as "ask whether to apply them (y/n/other) and wait — never change the work without a yes" and a resolve_customization fallback, matching the level-3 anchor with explicit validation loops.

3 / 3

Progressive Disclosure

The large method catalog is kept out of context and served on demand via scripts/pick_methods.py against the real assets/methods.csv, while the overview menu stays inline; references are clearly signaled and one level deep, matching the level-3 anchor against the actual bundle structure.

3 / 3

Total

12

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12

Passed

Description

100%

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 is concise, specific, and third-person, with an explicit 'Use when' trigger clause and natural keyword coverage (socratic, first principles, pre-mortem, red team). It cleanly answers both what the skill does and when to invoke it, with low conflict risk.

DimensionReasoningScore

Specificity

Names multiple concrete actions on a defined target — "Push the LLM to reconsider, refine, and improve its recent output" — listing three distinct refinement actions rather than vague single verbs, matching the level-3 anchor.

3 / 3

Completeness

Explicitly states both what ("Push the LLM to reconsider, refine, and improve its recent output") and when ("Use when user asks for deeper critique or mentions a known deeper critique method"), matching the level-3 anchor for an explicit 'Use when' trigger clause.

3 / 3

Trigger Term Quality

Provides natural user-facing keywords — "deeper critique", "socratic, first principles, pre-mortem, red team" — covering the common ways a user would request this, matching the good-coverage level-3 anchor; not below since no major variations are absent.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (deeper-critique elicitation) with distinctive triggers (socratic, pre-mortem, red team) unlikely to fire for unrelated skills, matching the level-3 anchor; third-person imperative voice, no first/second person, so no specificity penalty.

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
bmad-code-org/BMAD-METHOD
Reviewed

Table of Contents

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