CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

agentmemory-config

Set up and diagnose local agentmemory, including MCP, environment variables, ports, and feature flags. Use when getting started, checking a connection, enabling a feature, configuring auth, or explaining why a feature is off by default.

Quality

93%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

96%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.

An exemplary operational skill body: lean, fully executable, with a well-sequenced diagnostic workflow that includes error-recovery branches and safety guardrails. The only weakness is progressive disclosure — the referenced REFERENCE.md and sibling skills are not present in the skill's bundle, leaving the deferred navigation unverified.

Suggestions

Ship REFERENCE.md with the skill bundle (or state where the generated file is produced) so the 'full recognized-variable list' reference resolves at use time.

Verify the 'See also' targets (agentmemory-rest-api, agentmemory-architecture) exist as installed skills, or drop the cross-references.

Consider moving the auth secret fallback chain and HTTPS/loopback rules (step 4) into the agentmemory-rest-api skill, keeping only a pointer here.

DimensionReasoningScore

Conciseness

The body is dense with unique operational facts (file paths, env vars, commands, port arithmetic) and contains no padding or explanation of concepts Claude already knows. It assumes competence throughout, matching the lean anchor 5 rather than the 'could be trimmed' anchor 4.

5 / 5

Actionability

Fully executable guidance: concrete commands ('agentmemory status', 'node dist/cli.mjs status', 'agentmemory connect codex --with-hooks', '--port <N>'), exact file paths ('~/.agentmemory/.env', '~/.agentmemory/secret'), and a copy-paste env block covering the common configuration cases. Matches anchor 5.

5 / 5

Workflow Clarity

'Check the connection first' is a clearly sequenced 6-step diagnostic workflow with an explicit error-recovery branch (step 2: 'If it fails, check Node.js 20+ and agentmemory status' then restart) and validation checkpoints ('A successful handshake alone does not prove the daemon is up', inspect hooks 'before promising automatic capture'). The workflow is diagnostic rather than destructive/batch, so the validation cap does not apply; it matches anchor 5's sequence-with-feedback-loop pattern.

5 / 5

Progressive Disclosure

Sections are well organized and bulk detail is correctly deferred to one-level-deep, clearly signaled references (full variable list to REFERENCE.md, port rationale to agentmemory-architecture, secret usage to agentmemory-rest-api). However, the body exceeds 50 lines and none of the referenced files (REFERENCE.md, the 'See also' skills) exist in this skill's bundle, so navigation cannot be fully verified — anchor 4 rather than 5.

4 / 5

Total

19

/

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 description that clearly states what the skill does and when to use it, with an explicit 'Use when...' clause and natural trigger phrases. The only minor gaps are a couple of missing natural synonyms (e.g., 'troubleshooting') and slightly fuller action enumeration in the what-clause.

DimensionReasoningScore

Specificity

Concrete verbs ('Set up and diagnose') plus an enumerated scope ('including MCP, environment variables, ports, and feature flags') list several specific actions with only minor gaps. It exceeds anchor 3 (more than 1-2 actions covered) but is not the comprehensive action enumeration of anchor 5.

4 / 5

Completeness

Explicitly answers both 'what' ('Set up and diagnose local agentmemory, including MCP, environment variables, ports, and feature flags') and 'when' ('Use when getting started, checking a connection, enabling a feature, configuring auth, or explaining why a feature is off by default') with concrete trigger phrases, matching anchor 5 exactly.

5 / 5

Trigger Term Quality

Natural phrases users would say ('getting started', 'checking a connection', 'enabling a feature', 'configuring auth') give good keyword coverage. A few natural terms are missing (e.g., 'troubleshooting', 'not connecting'), so it falls short of anchor 5's synonym-level coverage but clearly exceeds anchor 3.

4 / 5

Distinctiveness Conflict Risk

'local agentmemory' is a distinct named product niche and the trigger phrases are specific to it, so overlap with other skills is minimal. Third-person voice is used throughout with no first/second person, so no specificity penalty applies.

5 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

rohitg00/agentmemory

Path

plugin/skills/agentmemory-config/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.