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continuous-learning

[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos, con alcance de proyecto y hooks confiables. No invocar v1; dirigir solicitudes de aprendizaje continuo, aprendizaje de sesión y extracción de patrones a continuous-learning-v2.

51

Quality

56%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./docs/es/skills/continuous-learning/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

42%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 archived v1 documentation is concretely configured (config + hook setup are copy-paste ready) but is dragged down by a verbose research/comparison section, a missing core script, and a workflow without validation checkpoints. As a deprecated artifact it is serviceable, but as an active skill it is inefficient and incomplete.

Suggestions

Move the 'Notas de Comparación (Investigación: Ene 2025)' section and Homunculus table into a separate archived-notes file, keeping SKILL.md focused on what is needed to run or understand v1.

Bundle or inline the evaluate-session.sh script (or at minimum its core detection/extraction logic) so the central behavior is executable rather than described at a high level.

Add an explicit validation/review checkpoint to the 'Cómo Funciona' workflow (e.g. confirm extracted skill quality before saving when auto_approve=false), turning the three steps into a feedback-loop sequence.

DimensionReasoningScore

Conciseness

The body is noticeably verbose: the 'Notas de Comparación (Investigación: Ene 2025)' section with a full Homunculus feature table and a five-item v2 improvements list is research padding that does not help Claude execute the archived v1 skill.

2 / 5

Actionability

It provides concrete, copy-paste-ready config.json and Stop-hook settings.json blocks, but the central extraction logic ('Identifica patrones extraíbles', 'Guarda patrones útiles') stays high-level and the referenced evaluate-session.sh is not bundled.

3 / 5

Workflow Clarity

The three-step 'Cómo Funciona' sequence is present but lacks validation checkpoints for a batch extraction operation, and the auto_approve=false review flow implied by the config is never described in the workflow.

3 / 5

Progressive Disclosure

Section headers give reasonable structure, but the comparison/research content is inlined instead of split out, and the reference to docs/continuous-learning-v2-spec.md points to a file that is not present in the bundle.

3 / 5

Total

11

/

20

Passed

Description

70%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 well-constructed deprecation redirect: it clearly identifies the legacy skill, explains the v2 superset relationship, and gives explicit trigger-to-v2 routing. It is held back from a top score because it describes the redirect more comprehensively than the skill's own capabilities.

DimensionReasoningScore

Specificity

It names the domain and a concrete mechanism ('Extractor de skill por hook Stop v1 heredado') plus a redirect action, but does not comprehensively list the skill's own capabilities, focusing instead on deprecation/redirect framing.

3 / 5

Completeness

It states what v1 is (Stop-hook skill extractor) and gives explicit when/redirect guidance ('dirigir solicitudes de aprendizaje continuo, aprendizaje de sesión y extracción de patrones a continuous-learning-v2'), but the 'when' is framed as a deprecation redirect rather than a clean active-use trigger.

4 / 5

Trigger Term Quality

It includes several natural trigger phrases a user would say ('aprendizaje continuo', 'aprendizaje de sesión', 'extracción de patrones'), though a few synonyms are missing and no file extensions apply to this meta-skill.

4 / 5

Distinctiveness Conflict Risk

The niche is clear and the description actively manages the v1/v2 overlap ('No invocar v1; dirigir ... a continuous-learning-v2'), leaving only minor conflict risk with the closely related v2 skill.

4 / 5

Total

15

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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