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agent-memory

Creates and queries agent expertise profiles in AGENT-EXPERTISE.md, increments file-familiarity counters after each task, and ranks candidate agents by recency and task-area match. Use when deciding which agent should handle a file, checking who last worked on a module, recording task outcomes, or assigning work based on past performance.

77

Quality

96%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is an excellent skill description that clearly articulates specific capabilities, provides explicit trigger conditions via a 'Use when...' clause, and occupies a distinct niche. It uses third-person voice consistently and covers multiple concrete actions with natural language triggers that users would realistically employ.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: creates/queries expertise profiles, increments file-familiarity counters, ranks candidate agents by recency and task-area match. These are precise, actionable capabilities.

3 / 3

Completeness

Clearly answers both what (creates/queries profiles, increments counters, ranks agents) and when (explicit 'Use when...' clause with four distinct trigger scenarios: deciding agent assignment, checking last worker, recording outcomes, assigning by performance).

3 / 3

Trigger Term Quality

Includes natural trigger terms users would say: 'which agent should handle a file', 'who last worked on a module', 'recording task outcomes', 'assigning work based on past performance'. Also mentions specific artifacts like AGENT-EXPERTISE.md and file-familiarity counters.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive niche focused on agent expertise tracking and work assignment. References a specific file (AGENT-EXPERTISE.md) and domain-specific concepts like file-familiarity counters and agent ranking, making it very unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Implementation

92%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-crafted skill with strong actionability and workflow clarity. The content is concise, provides executable commands, and includes validation steps at each workflow stage. The main weakness is the reference to KNOWLEDGE-GRAPH.md which isn't provided in the bundle, making it impossible to verify the progressive disclosure chain.

Suggestions

Include KNOWLEDGE-GRAPH.md in the bundle or inline its key structure/templates so the reference is verifiable and useful.

DimensionReasoningScore

Conciseness

The content is lean and efficient. It uses tables for triggers, provides only necessary code examples, and doesn't explain concepts Claude already knows. Every section serves a clear purpose without padding.

3 / 3

Actionability

Provides executable bash/awk commands for updating expertise files, concrete grep commands for retrieval, specific entry formats, and a clear example prompt block. The code is copy-paste ready and covers both reading and writing operations.

3 / 3

Workflow Clarity

The workflow section has clear sequencing (before delegating → after task → on failure) with explicit validation checkpoints at each step. Each step includes a 'Validate' sub-step specifying what to check, and the pruning section also includes validation.

3 / 3

Progressive Disclosure

References KNOWLEDGE-GRAPH.md appropriately for detailed content, but the bundle has no files to support this reference. The skill itself is well-structured with clear sections, but the referenced file doesn't exist in the bundle, which weakens navigation reliability.

2 / 3

Total

11

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
monkilabs/opencastle
Reviewed

Table of Contents

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