agentmemory-config

agentmemory configuration, environment variables, ports, and feature flags. Use when enabling a feature, changing ports, setting an API key, configuring auth, or explaining why a feature is off by default.

Quality

81%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

76%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.

A concise, well-structured config skill that mostly gives executable guidance and points to a generated reference for the full variable list. It lacks an explicit verification step for confirming config changes and the referenced REFERENCE.md is not bundled.

Suggestions

Add a one-line verification checkpoint after the restart instruction, e.g. how to confirm a flag took effect (such as hitting the REST endpoint or checking startup logs).

Give the exact format for AGENTMEMORY_SECRET (and any value-style flags) so the guidance is fully copy-paste ready.

Either bundle REFERENCE.md or note explicitly that it is generated at build/install time, so the reference target is unambiguous to the reader.

Dimension	Reasoning	Score
Conciseness	The body is lean and assumes competence: it states config sources, lists defaults with rationale, and gives ports compactly without explaining what env vars or BM25 are, matching the 'lean and efficient; every token earns its place' anchor rather than the 4 which tolerates minor over-explanation.	5 / 5
Actionability	It provides concrete, copy-pasteable guidance (an env block to write, a CLI flag `--port <N>`), but some actions like 'set AGENTMEMORY_SECRET to require Authorization: Bearer' lack the exact value format, leaving minor gaps that fit the 4 rather than fully copy-paste-ready 5.	4 / 5
Workflow Clarity	This is a configuration skill, not a destructive/batch workflow, so the simple-skill exception applies; the single main action (edit ~/.agentmemory/.env then 'Restart the server after changing it') is unambiguous but there is no validation/verification checkpoint (e.g., how to confirm the change took effect), capping it at 3.	3 / 5
Progressive Disclosure	Structure is good with well-organized sections (Quick start, Defaults, Ports, See also, Reference) and a clearly signaled one-level reference to REFERENCE.md, but the referenced REFERENCE.md is not present in the bundle and is only described as generated from src/, a minor organization gap that fits 4 rather than the clean 5.	4 / 5
	Total	16 / 20 Passed

Description

87%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 strong, third-person description that clearly states what the skill covers and gives concrete, natural trigger phrases for when to use it. It is specific and distinct with minimal conflict risk.

Dimension	Reasoning	Score
Specificity	The description names the domain (configuration, env vars, ports, feature flags) and several concrete actions (enabling a feature, changing ports, setting an API key, configuring auth), which matches the 'lists several specific actions; minor gaps' anchor rather than the comprehensive 5.	4 / 5
Completeness	It explicitly answers both what ('agentmemory configuration, environment variables, ports, and feature flags') and when ('Use when enabling a feature, changing ports, setting an API key, configuring auth, or explaining why a feature is off by default') with concrete trigger phrases, matching the 5 anchor.	5 / 5
Trigger Term Quality	It includes natural trigger phrases users would say ('enabling a feature', 'changing ports', 'setting an API key', 'configuring auth'), with good coverage but a few common synonyms missing, fitting the 4 anchor rather than the comprehensive 5.	4 / 5
Distinctiveness Conflict Risk	It carves a clear niche around agentmemory configuration with distinct triggers (API key, ports, auth, feature flags) and minimal overlap risk with other skills, matching the 5 anchor.	5 / 5
	Total	18 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: rohitg00/agentmemory
Path: plugin/skills/agentmemory-config/SKILL.md
Commit: 2d38daf

Reviewed: 1 day ago

Table of Contents

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