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continuous-learning-v2

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos con alcance de proyecto para prevenir contaminación entre proyectos.

Quality

62%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./docs/es/skills/continuous-learning-v2/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%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 a well-organized architectural overview with genuinely concrete setup instructions (hook config, data directory resolution, detection priorities). However, it reads more like product documentation than an operational skill: the core workflows are diagrams and command labels rather than executable procedures, validation is absent, and time-sensitive changelog content is inlined.

Suggestions

Move the v1/v2 and v2/v2.1 comparison tables into a CHANGELOG reference file (also addresses the time-sensitive version-number penalty) and keep only a one-line 'what's new' note.

Replace the ASCII 'Cómo Funciona' diagram with ordered, executable steps for the instinct lifecycle — how to run pattern detection, write/update an instinct file, and execute /evolve and /promote — so guidance is copy-paste actionable.

Add validation checkpoints for risky operations: verify migration output before deleting the old ~/.claude/homunculus directory, and validate imported instinct files before merging them into the library.

DimensionReasoningScore

Conciseness

The body is mostly efficient (tables, exact paths, concrete config), but includes unnecessary padding: two inline version-changelog tables with time-sensitive version numbers, an ASCII architecture diagram, and marketing-style intro prose ('Un sistema de aprendizaje avanzado que convierte tus sesiones...'). This fits 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than anchor 4, whose over-explanation would be only minor.

3 / 5

Actionability

Setup guidance is executable (exact settings.json hook JSON, migration script path, prioritized detection commands), but the core operations are only described: pattern detection appears as an ASCII diagram, instinct creation has a format example but no procedure, and /evolve, /promote, /instinct-export are one-line labels with no steps. This matches 'some concrete guidance but incomplete' rather than anchor 4, where gaps would be minor.

3 / 5

Workflow Clarity

Quick Start and project detection are sequenced, but the observation-to-instinct-to-evolution pipeline is presented as a diagram rather than ordered steps, and there are no validation checkpoints anywhere — including for the one-shot destructive migration script and instinct import. This fits 'sequence present but checkpoints missing' and not anchor 4.

3 / 5

Progressive Disclosure

The single SKILL.md is well-sectioned but everything is inlined — changelogs, the scope decision guide, and the confidence model could live in reference files — and no bundle files exist, while inline mentions of scripts/migrate-homunculus.sh and hooks/observe.sh are not signaled as navigable references. This matches 'some structure but could be better organized' rather than anchor 4, where most content would be appropriately split across files.

3 / 5

Total

12

/

20

Passed

Description

58%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.

The description gives a concrete, third-person account of what the system does, with a specific and fairly distinctive mechanism vocabulary. Its main weakness is the absence of any 'when to use this' trigger clause and of natural user-facing synonyms, which limits discoverability and caps completeness and trigger-term quality.

Suggestions

Append an explicit trigger clause, e.g. 'Use when configuring automatic learning from Claude Code sessions, adjusting instinct confidence thresholds, or exporting/importing instinct libraries.'

Add natural synonyms users would actually say — 'memoria', 'aprender de sesiones', 'learning from sessions', 'continuous learning' — so the description surfaces for those phrasings.

Mention the remaining capabilities (export/import of instincts, confidence threshold tuning) to round out coverage toward the comprehensive anchor.

DimensionReasoningScore

Specificity

The description lists several concrete actions — 'observa sesiones mediante hooks', 'crea instintos atómicos con puntuación de confianza', 'los evoluciona en skills/comandos/agentes' — matching the anchor for several specific actions with minor gaps. It falls short of anchor 5 because capabilities documented in the body (export/import, threshold tuning, promotion) are not covered.

4 / 5

Completeness

The 'what' is clear (observes sessions via hooks, creates atomic confidence-scored instincts, evolves them into skills/commands/agents), but there is no 'when' — no 'Use when...' clause or equivalent trigger guidance, which per the judging guidelines caps completeness at 3. Not anchor 2 because the 'what' is concrete rather than vague.

3 / 5

Trigger Term Quality

Terms like 'instintos', 'hooks', 'sesiones', and 'alcance de proyecto' are domain-specific but the description misses natural phrases users would say ('memoria', 'aprender de sesiones', 'learning from sessions') and common variations, matching the 'some relevant keywords but missing common variations or synonyms' anchor. It is above anchor 2 because the keywords that are present are relevant and fairly specific, not generic.

3 / 5

Distinctiveness Conflict Risk

The instinct/confidence-scoring/hook-observation framing carves a mostly distinct niche with little overlap against generic memory or note-taking skills, fitting 'mostly distinct; minor overlap risk'. Not 5 because phrases like 'sistema de aprendizaje' are broad enough to mildly overlap with general learning/memory skills.

4 / 5

Total

14

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

affaan-m/ECC

Path

docs/es/skills/continuous-learning-v2/SKILL.md

Reviewed

Table of Contents

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