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nowledge-mem

Use Nowledge Mem for cross-tool startup context, recall of prior decisions, durable learnings, explicit conversation saving, and connection diagnosis. Use only the connection selected for this DeepChat agent or session.

58

Quality

66%

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SecuritybySnyk

Passed

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tessl review fix ./plugins/nowledge-mem/skills/nowledge-mem/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

75%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 content is a lean, actionable instruction set with concrete tool names, parameters, and clear safety gates for memory operations. It is well organized for a short single-purpose skill but would benefit from explicit section headers and a spelled-out error-recovery loop.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, with only minor redundancy around identity/Space emphasis that could be trimmed slightly.

4 / 5

Actionability

Concrete, executable guidance is given via specific tool names and parameters (read_context_bundle with source_app deepchat, memory_search limit 5, memory_add), with minor gaps in worked input/output examples.

4 / 5

Workflow Clarity

A clear temporal sequence (read bundle -> search before adding -> save -> handle config) with explicit safety gates, but no full validate->fix->retry feedback loop is spelled out.

4 / 5

Progressive Disclosure

The short, self-contained body needs no external references and is organized into logical topic paragraphs, but lacks explicit section headers that would make navigation crisper.

4 / 5

Total

16

/

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 clearly conveys what the skill does through specific capabilities, but lacks an explicit 'Use when...' trigger clause and leans on somewhat technical terminology that limits natural-trigger coverage. It is distinct thanks to the named tool and DeepChat scoping.

Suggestions

Add an explicit 'Use when...' clause listing natural user triggers (e.g., 'Use when the user asks to recall prior decisions, save a conversation, or diagnose a Nowledge Mem connection').

Soften jargon by adding common synonyms users would actually say alongside technical terms (e.g., 'remember prior decisions' for 'recall of prior decisions').

Tighten the second sentence so it reinforces a trigger condition rather than only stating a connection constraint.

DimensionReasoningScore

Specificity

Names the Nowledge Mem domain and lists several concrete capabilities (startup context, recall of prior decisions, durable learnings, conversation saving, connection diagnosis), with only minor gaps in action-level concreteness.

4 / 5

Completeness

The 'what' is clearly stated, but there is no explicit 'Use when...' trigger clause; per the missing-trigger cap, completeness cannot exceed 3.

3 / 5

Trigger Term Quality

Relevant keywords are present but lean technical/jargon ('durable learnings', 'connection diagnosis') and miss common natural variations or synonyms a user might actually say.

3 / 5

Distinctiveness Conflict Risk

The named Nowledge Mem tool and DeepChat session scoping give a clear niche with minimal conflict risk, though generic memory phrases could overlap with related skills.

4 / 5

Total

14

/

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
ThinkInAIXYZ/deepchat
Reviewed

Table of Contents

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