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talk-overweg-one-brain-no-filtering

Explains Robert Overweg's One Brain, No Filtering talk and helps design safe knowledge-memory systems: context maps, retrieval rules, provenance labels, local knowledge-store structure, and review checkpoints. Use when the user asks about agent memory, unified knowledge bases, reducing context loss, or designing inspectable knowledge workflows.

67

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Passed

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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.

A well-organized, token-efficient instruction skill with clear sequencing and output templates, consistently just below the top anchor. The principal defect is that the body references outline.md, quote.md, and transcript.md, but no bundle files are present, so those references are dangling.

Suggestions

Add the referenced bundle files (outline.md, quote.md, transcript.md) under references/, or remove the references and inline the essential content so no links are dangling.

Consolidate the redaction-boundary guidance into a single statement to remove the three-way repetition across Read Order, the Core Workflow paragraph, and the Redacted Request template.

Make at least one output template fully concrete (e.g., a filled-in example artifact) so the guidance crosses from abstract placeholders to copy-paste-ready output.

DimensionReasoningScore

Conciseness

The body is lean and does not over-explain concepts Claude already knows, but the redaction-boundary policy is restated three times (Read Order #4, the operational-mechanics paragraph, and the Redacted Request template), which is minor redundancy that could be tightened.

4 / 5

Actionability

Numbered workflows and output templates with named fields (Goal, Boundaries, Review points, Evidence) plus example response shapes give mostly concrete guidance, though the placeholder templates remain abstract rather than copy-paste ready.

4 / 5

Workflow Clarity

Read Order and the two Core Workflow sub-procedures are clearly sequenced, and 'State when the bundle does not cover a requested detail' acts as a soft checkpoint, but there is no explicit validate-and-retry feedback loop. No destructive/batch operations are present, so the workflow-clarity cap does not apply.

4 / 5

Progressive Disclosure

References to outline.md, quote.md, and transcript.md are well-signaled and one level deep in a lean overview, but the bundle directories (references/, scripts/, assets/) are absent, so those referenced files do not actually exist — navigation is structurally clean but the links do not resolve.

4 / 5

Total

16

/

20

Passed

Description

88%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, complete description that clearly states both capability and trigger conditions with concrete deliverables. Main weakness is trigger-term breadth (no synonyms) and some overlap risk on the broad memory/knowledge-base terms.

DimensionReasoningScore

Specificity

Enumerates five concrete deliverables ('context maps, retrieval rules, provenance labels, local knowledge-store structure, and review checkpoints'), giving comprehensive specific actions rather than vague language.

5 / 5

Completeness

Explicitly answers both 'what' (explains the talk and helps design safe knowledge-memory systems) and 'when' (concrete 'Use when...' trigger phrases), matching the anchor-5 example.

5 / 5

Trigger Term Quality

'Use when the user asks about agent memory, unified knowledge bases, reducing context loss, or designing inspectable knowledge workflows' offers good natural keyword coverage, but each concept has only one phrasing with no synonyms, falling short of anchor 5.

4 / 5

Distinctiveness Conflict Risk

The named talk ('Robert Overweg's One Brain, No Filtering') gives a clear niche, but broad triggers like 'agent memory' and 'unified knowledge bases' could overlap with other memory-related skills, so it is not minimal conflict risk.

4 / 5

Total

18

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
jscraik/Agent-Skills
Reviewed

Table of Contents

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