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agentlas-network

Use when the user types /agentlas-network, /agentlas network, $hephaestus-network, or /hep-network to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams.

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

76%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 admirably concise and provides a concrete executable MCP sequence, but it delegates the full protocol to an external sibling skill and omits error-recovery guidance for what is a batch orchestration operation. The external reference is not bundled with this skill.

Suggestions

Add explicit validation feedback-loop guidance (e.g., what to do when workforce.validate_selection or validate_execution_receipt fails, and when to retry vs abort) so the batch staffing workflow has real checkpoints.

Either bundle a local reference file for the full execution protocol or make the hephaestus-network dependency explicit and verifiable, so navigation is self-contained within the skill.

Fill in the elided MCP arguments (workOrder, selection, federatedSelection, receipt) with concrete shapes or a short example so the sequence is copy-paste ready rather than schematic.

DimensionReasoningScore

Conciseness

Lean and token-efficient with no padding or explanation of concepts Claude already knows; every line (summary, alias, MCP sequence, pointer) earns its place.

5 / 5

Actionability

Provides a concrete, executable MCP call sequence with real tool names and parameters, but several arguments are elided (workOrder=..., selection=...) and execution detail is deferred to an external file, leaving minor gaps.

4 / 5

Workflow Clarity

A clear ordered 4-step MCP sequence is present, but this orchestrates batch agent staffing with no error-recovery or feedback-loop guidance; per the rubric, missing validation/feedback loops in batch operations caps workflow clarity at 3.

3 / 5

Progressive Disclosure

A clean overview structure with a single clearly-signaled one-level reference, but the referenced hephaestus-network/SKILL.md is external and not present in this skill's bundle, leaving navigation not fully self-contained.

4 / 5

Total

16

/

20

Passed

Description

90%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: it pairs a concrete capability statement with explicit, natural trigger phrases and distinct command tokens. Its only weakness is narrow action coverage — it describes one staffing action rather than a fuller set of capabilities.

DimensionReasoningScore

Specificity

Names the federated-workforce domain and one concrete action ("staff a durable goal") with the agent source scopes, but coverage is limited to a single staffing action rather than multiple concrete capabilities.

3 / 5

Completeness

Explicitly answers both what ("staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams") and when ("Use when the user types...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Lists comprehensive, natural invocation forms users would actually type — "/agentlas-network", "/agentlas network", "$hephaestus-network", "/hep-network" — including alias synonyms.

5 / 5

Distinctiveness Conflict Risk

Triggers are uniquely tied to this skill's specific slash and dollar commands, giving it a distinct niche with minimal overlap risk against other skills.

5 / 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

relative_links

Relative link issues: 1 missing

Warning

Total

15

/

16

Passed

Repository
agentlas-ai/Agentlas-OS
Reviewed

Table of Contents

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