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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.

Quality

83%

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SKILL.md
Quality
Evals
Security

Quality

Content

71%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 clearly sequenced workflows, concrete output templates, and explicit safety guardrails. Its main defect is that all three referenced bundle files (outline.md, quote.md, transcript.md) are missing from the bundle, leaving the Read Order pointing at nonexistent content, with a secondary gap of no explicit verification step for quoted excerpts.

Suggestions

Add the referenced files (outline.md, quote.md, transcript.md) to a references/ directory in the bundle, or remove the Read Order section if the skill is meant to be standalone — currently every reference is dangling.

Add an explicit validation step to the factual-question workflow, e.g., "Confirm the excerpt appears verbatim in quote.md before including it," to create a verify-before-output feedback loop.

Trim the redundant "What This Skill Produces" section, which restates artifacts already enumerated in the Core Workflow and Design Artifact template.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence — no explanations of known concepts, terse numbered workflows, and compact output templates. It falls short of anchor 5 only through mild redundancy: the "What This Skill Produces" list ("provenance checklist", "memory review plan") repeats artifacts already covered by the Core Workflow and Design Artifact template.

4 / 5

Actionability

For an instruction-only skill the guidance is mostly executable: a numbered Read Order naming specific files, concrete constraints ("Answer in 2-5 sentences", "Add one short excerpt from quote.md only if it strengthens the answer"), fill-in-the-blank output templates, and two worked examples. Not a 5 because some design-workflow steps stay abstract (e.g., "Describe retrieval rules without depending on mutable sources" gives no shape for a retrieval-rule sketch).

4 / 5

Workflow Clarity

Each of the three workflows has a clear numbered sequence with decision checkpoints ("State when the bundle does not cover a requested detail"; the redaction guardrail "do not provide them... Give the design-level alternative instead"). It misses anchor 5 because there is no explicit validation step, e.g., confirming a quoted excerpt actually appears in quote.md before including it.

4 / 5

Progressive Disclosure

Structurally the disclosure is well designed — a Read Order section signals one-level-deep references (outline.md, quote.md, transcript.md), each with its purpose. However, scoring against the actual bundle, none of the three referenced files exist (no references/ directory), so the navigation path Claude is directed to follow does not resolve; this breaks the disclosure promise and keeps it at the midpoint.

3 / 5

Total

15

/

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 description in third person that clearly separates what the skill does from when to use it, with concrete artifact names and multiple natural trigger phrases. Its only weaknesses are a few missing synonym triggers and modest overlap risk with generic agent-memory skills.

DimensionReasoningScore

Specificity

The description lists multiple concrete deliverables — "context maps, retrieval rules, provenance labels, local knowledge-store structure, and review checkpoints" — plus the core action of explaining the named talk, giving comprehensive coverage of what the skill produces. Anchor 4 falls short because there are no real gaps in the enumerated capabilities for this domain.

5 / 5

Completeness

Both questions are answered explicitly: the "what" ("Explains Robert Overweg's One Brain, No Filtering talk and helps design safe knowledge-memory systems: ...") and the "when" ("Use when the user asks about agent memory, unified knowledge bases, reducing context loss, or designing inspectable knowledge workflows") with concrete trigger phrases. This matches the anchor-5 example pattern.

5 / 5

Trigger Term Quality

Good natural trigger coverage: "agent memory", "unified knowledge bases", "reducing context loss", "designing inspectable knowledge workflows" are phrases users would plausibly say. Not a 5 because common synonyms and adjacent phrasings (e.g., "knowledge graph", "RAG", "memory store design") are absent.

4 / 5

Distinctiveness Conflict Risk

The named talk and provenance/review-checkpoint framing give it a clear niche, but "agent memory" and "unified knowledge bases" are broad triggers that could overlap with other memory-management or knowledge-base skills. Mostly distinct with minor overlap risk, so anchor 4 rather than 5.

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

jscraik/Agent-Skills

Path

Plugins/aidevcon/skills/talk-overweg-one-brain-no-filtering/SKILL.md

Reviewed

Table of Contents

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