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ralph-prompt-research

Generate Ralph-compatible prompts for research, analysis, and planning tasks. Creates prompts with systematic research phases, synthesis requirements, and deliverable specifications. Use when analyzing codebases, creating migration plans, researching technologies, auditing security, or any task requiring investigation before action.

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/ralph-prompt-research/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

66%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 highly actionable and workflow-clean — templates are copy-paste ready with explicit checkpoints and recovery guidance — but it is monolithic: duplicated phase templates across two full examples and no progressive disclosure into reference files make it expensive to load. Moving the worked examples and phase-detail templates into references/ would address both weak dimensions at once.

Suggestions

Move the two full example prompts (Security Audit, Technology Comparison) into references/example-prompts.md and keep a single condensed example inline, cutting the duplicated 5-phase structure.

Extract the per-phase template details (Phase 1-5 markdown blocks) into references/phase-templates.md, keeping only the phase overview table and completion checklist in SKILL.md.

Consolidate the Best Practices DO/DON'T lists into the existing Completeness/Quality checklists to remove repeated guidance.

DimensionReasoningScore

Conciseness

Noticeably verbose: the two full worked examples (~300 lines) re-enumerate the same 5-phase structure, success criteria, and deliverable templates already fully specified in the generic template section, and the Best Practices DO/DON'T lists repeat earlier checklist content. Above 1 because there is little conceptual over-explanation — the padding is duplicated template content, not tutoring on known concepts.

2 / 5

Actionability

Fully copy-paste-ready: concrete markdown templates with exact fill-in slots, a worked input-to-output example pair, and an exact integration command ('/ralph-wiggum:ralph-loop ... --completion-promise ... --max-iterations 50') with recommended iteration ranges by task complexity.

5 / 5

Workflow Clarity

Clear 4-step generation sequence with per-phase success criteria, explicit checkpoints (DISCOVERY COMPLETE / ANALYSIS COMPLETE), final completeness and quality checklists, progress tracking format, and an 'If Stuck' recovery loop ('Do NOT skip analysis or output false promise'). This is a template-generation skill, not a destructive/batch operation, so no validation cap applies.

5 / 5

Progressive Disclosure

No bundle files exist at all; roughly 300 lines of worked example prompts that clearly belong in a separate references file are inlined in SKILL.md, leaving a monolithic 735-line body. Above 1 because the document itself has well-labeled section headers and a navigable structure — the failure is the absence of any file split, not chaotic nesting.

2 / 5

Total

14

/

20

Passed

Description

83%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 description: third-person voice, explicit what-and-when structure, and a distinct niche anchored by the Ralph-technique framing. The only weaknesses are the broad catch-all trigger phrase and a few missing natural synonyms.

DimensionReasoningScore

Specificity

Lists several specific concrete actions — 'systematic research phases, synthesis requirements, and deliverable specifications' describe the generated prompt's composition. Not 5 because coverage has minor gaps (e.g., no mention of scope definition or completion criteria, which the body shows are core outputs).

4 / 5

Completeness

Clearly answers both: 'what' — 'Generate Ralph-compatible prompts... Creates prompts with systematic research phases, synthesis requirements, and deliverable specifications' — and 'when' — an explicit 'Use when analyzing codebases, creating migration plans, researching technologies, auditing security' clause with concrete trigger phrases.

5 / 5

Trigger Term Quality

'analyzing codebases, creating migration plans, researching technologies, auditing security' are natural phrases users would say. Not 5 because common synonyms and variations like 'code review', 'documentation generation', or 'tech evaluation/comparison' are missing.

4 / 5

Distinctiveness Conflict Risk

'Ralph-compatible prompts' carves a clear niche distinct from general analysis skills. Not 5 because the catch-all 'or any task requiring investigation before action' broadens it toward overlap with closely related sibling skills (ralph-prompt-single-task, multi-task, project) and general research workflows.

4 / 5

Total

17

/

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

skill_md_line_count

SKILL.md is long (736 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository

fernandezbaptiste/Skrillz

Path

skills/ralph-prompt-research/SKILL.md

Reviewed

Table of Contents

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