This skill reads as a high-level outline or table of contents rather than an actionable skill. It names many tools and patterns but never provides concrete instructions, executable examples, or navigable references. The content would leave Claude unable to actually implement a continuous agent loop without significant external knowledge.

Suggestions

Add concrete, executable examples for at least the default 'sequential' loop pattern, showing actual code or commands Claude should run.

Provide explicit links or file paths for all referenced skills/tools (e.g., `ralphinho-rfc-pipeline`, `plankton-code-quality`) so Claude can navigate to them.

Add validation checkpoints to the Recovery section with specific criteria (e.g., 'if test pass rate < 80% after 3 iterations, freeze loop') and a feedback loop structure.

Define what each loop type (continuous-pr, rfc-dag, infinite, sequential) actually does with at least a 2-3 line description and a minimal working example.

Dimension	Reasoning	Score
Conciseness	Reasonably brief and doesn't over-explain concepts, but some content is vague filler (e.g., 'This is the v1.8+ canonical loop skill name' and compatibility notes) that doesn't add actionable value. The failure modes list is generic.	2 / 3
Actionability	Almost entirely abstract and descriptive. No executable code, no concrete commands, no specific examples. References like `ralphinho-rfc-pipeline`, `/quality-gate`, `/harness-audit` are named but never defined or demonstrated. 'Freeze loop' and 'reduce scope to failing unit' are vague directions, not actionable instructions.	1 / 3
Workflow Clarity	The loop selection flow is a decision tree but lacks any detail on what each path actually entails. The 'Combined Pattern' is just a list of tool names without sequencing or validation checkpoints. The 'Recovery' section lists steps but has no validation, feedback loops, or concrete criteria for when to trigger recovery.	1 / 3
Progressive Disclosure	References several other skills/tools by name (e.g., `ralphinho-rfc-pipeline`, `plankton-code-quality`, `eval-harness`, `nanoclaw-repl`) but provides no links, file paths, or any way to navigate to them. There's no clear structure separating overview from detailed content.	1 / 3
	Total	5 / 12 Passed

Description

22%

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 too abstract and pattern-oriented, reading more like a topic heading than an actionable skill description. It lacks concrete actions, explicit trigger guidance ('Use when...'), and natural user-facing keywords. While the domain of autonomous agent loops provides some distinctiveness, the vague language significantly limits its effectiveness for skill selection.

Suggestions

Add a 'Use when...' clause with explicit triggers, e.g., 'Use when building agentic loops, implementing self-correcting workflows, or setting up autonomous task execution with stop conditions.'

Replace abstract terms like 'patterns' with concrete actions, e.g., 'Implements continuous agent loops with evaluation checkpoints, automatic error recovery, and configurable termination conditions.'

Include natural user keywords such as 'agentic workflow', 'loop until complete', 'self-healing agent', 'retry logic', or 'autonomous execution' to improve trigger term coverage.

Dimension	Reasoning	Score
Specificity	The description uses abstract language like 'patterns', 'quality gates', 'evals', and 'recovery controls' without listing concrete actions. It describes what the skill contains conceptually but not what specific actions it enables (e.g., 'implement retry logic', 'set up evaluation checkpoints', 'configure loop termination conditions').	1 / 3
Completeness	The description partially addresses 'what' (patterns for agent loops) but is vague, and completely lacks a 'when' clause or any explicit trigger guidance. Per the rubric, a missing 'Use when...' clause caps completeness at 2, and the weak 'what' brings it down to 1.	1 / 3
Trigger Term Quality	Terms like 'autonomous agent loops', 'quality gates', and 'evals' are somewhat relevant but lean toward technical jargon. Missing natural user phrases like 'agent loop', 'agentic workflow', 'self-correcting agent', 'loop until done', or 'continuous execution'. Some terms like 'recovery controls' are niche.	2 / 3
Distinctiveness Conflict Risk	The domain of 'continuous autonomous agent loops' is somewhat specific and narrows the scope, but terms like 'evals' and 'quality gates' could overlap with testing, CI/CD, or evaluation-focused skills. The lack of explicit triggers increases conflict risk.	2 / 3
	Total	6 / 12 Passed

Validation

90%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 10 / 11 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	10 / 11 Passed

Reviewed

2 months ago

Table of Contents

Discovery Implementation Validation