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talk-selajev-docker-sandboxes-agents

Explains Oleg Selajev's Docker Sandboxes talk and helps design safe, conceptual agent-isolation policies: file-sharing boundaries, network policy, secret isolation, audit expectations, and team rollout questions. Use when the user asks about sandboxed agents, hard isolation, local agent risk, or how to reason about agent safety without setup instructions.

69

Quality

85%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

78%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 body is concise and clearly structured with good actionable guidance for a reference skill. Its main weakness is progressive disclosure: the Read Order references three bundle files that are not actually present.

Suggestions

Ship the referenced bundle files (outline.md, quote.md, transcript.md) under references/, or remove the Read Order file references and inline the needed content.

Replace the 'Response shape:' sketches in Examples with one or two fully modeled sample responses to close the actionability gap.

Add an explicit verification step to the design-artifact workflow (e.g. confirm each 'Boundary' maps to an enforceable control) to reach a full feedback loop.

DimensionReasoningScore

Conciseness

Lean and efficient throughout — a one-sentence thesis and terse numbered workflows with no padding and no explanation of concepts Claude already knows (what an agent or sandbox is).

5 / 5

Actionability

For a reference skill, the guidance is concrete ('State which file areas are shared and which remain blocked', 'State network policy in allow/deny language'), but Examples show 'Response shape:' sketches rather than fully modeled outputs, leaving minor gaps.

4 / 5

Workflow Clarity

Two clearly sequenced workflows with a coverage-check checkpoint and an explicit decline boundary; the destructive/batch cap does not apply since the skill only produces conceptual artifacts, but there is no explicit validate-fix-retry feedback loop.

4 / 5

Progressive Disclosure

The SKILL.md itself is well-structured with clearly signaled one-level references, but it points to outline.md, quote.md, and transcript.md that do not exist in the bundle (references/, scripts/, assets/ are empty), so the navigation it promises is broken.

3 / 5

Total

16

/

20

Passed

Description

92%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 is strong: third-person voice, concrete deliverables, explicit 'Use when' triggers, and a distinctive niche. Its only weak spot is slightly incomplete trigger-term synonym coverage.

DimensionReasoningScore

Specificity

Names the domain (Selajev's Docker Sandboxes talk) plus five concrete conceptual deliverables — 'file-sharing boundaries, network policy, secret isolation, audit expectations, and team rollout questions' — giving comprehensive coverage of the stated scope.

5 / 5

Completeness

Explicitly answers both 'what' ('Explains... and helps design... policies') and 'when' ('Use when the user asks about...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural trigger phrases ('sandboxed agents, hard isolation, local agent risk, or how to reason about agent safety') are ones a user would actually say, but a few natural synonyms (e.g. 'agent sandboxing') are absent.

4 / 5

Distinctiveness Conflict Risk

A clearly defined niche tied to a named talk and specific isolation-safety triggers; minimal overlap risk with unrelated skills.

5 / 5

Total

19

/

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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