Meta-Prompting Tools Research

Meta-prompt quality — ship (4.2/5)

dimension	score	reason
goal_fidelity	5	The meta-prompt strictly adheres to the GOAL of researching open-source meta-prompting and prompt-engineering tools without drifting or inventing tasks. It explicitly instructs the AI to analyze provided data, group tools into specified categories, and output a structured JSON object with the required fields.
capability_fit	4	The meta-prompt is well-grounded in the GOAL and constraints. It provides clear instructions for analyzing the data, categorizing tools, and justifying inclusions with evidence. However, it includes some gratuitous filler (e.g., dictionary definitions and unrelated commercial/educational content in the context) that could distract from the core task. The instructions for maturity and confidence are appropriate but could be more precise (e.g., defining what constitutes 'early_stage' vs. 'active_development').
reasoning_transparency	4	The meta-prompt justifies inclusions/exclusions (e.g., requiring evidence from the data) and defines success criteria clearly. It also mandates self-scoring with confidence and justification. However, it does not explain why certain categories (frameworks, generators, evaluators) were chosen or how to handle edge cases (e.g., tools that fit multiple categories).
actionability	5	The meta-prompt is highly actionable. It provides a clear, step-by-step process for analyzing the data, categorizing tools, and generating the output. The output schema is explicitly defined, and the constraints (e.g., open-source only, grounded in data) are enforced. The no-op check passes: executing this would produce real, correct work if the data contains relevant tools.
ambiguity_handling	3	The meta-prompt surfaces ambiguities in the GOAL (e.g., underspecified maturity levels or category definitions) by requiring confidence scores and justifications. However, it does not explicitly instruct the AI to flag or resolve ambiguities in the data (e.g., unclear tool purposes or missing maturity indicators).

Output quality — revise (2.6/5)

dimension	score	reason
format_compliance	5	The OUTPUT JSON strictly adheres to the required format, including `metadata` and `results` with the specified subcategories (frameworks, generators, evaluators, uncategorized). No deviations from the schema are observed.
accuracy	5	The OUTPUT accurately reflects the SOURCE DATA, which contains no tools related to meta-prompting (frameworks, generators, or evaluators). The note in `metadata` correctly states that the research is grounded in the provided data, and no fabrications are present.
self_score_calibration	5	This dimension is not applicable here because no items were included (confidence/why_included fields are absent). However, the note in `metadata` is reasonable and does not inflate confidence.
completeness	1	The OUTPUT fails the deliverable check because it contains no substantive items in `results`. While the format is correct, the absence of tools (despite the task's intent) means the output is empty. This scores a 1 per the CRITICAL deliverable check.
usefulness	1	The OUTPUT is not actionable or useful because it provides no tools or insights beyond stating that no tools were found. Even if accurate, this is not useful for the intended purpose of identifying meta-prompting tools.