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agentlas-build

Use when the user types /agentlas-build, /agentlas build, or /hep-build to design, build, and package a single agent or multi-agent team.

64

Quality

75%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./.agents/skills/agentlas-build/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

68%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 an admirably concise, well-sequenced overview of the build workflow, but it stays at a high-level outline: no executable guidance per step and no validation feedback loop for the packaging step. Adding concrete per-step instructions or reference files would lift the weaker dimensions.

Suggestions

Add concrete, executable guidance for each numbered step — e.g. how mode classification is decided, what the interview/research gate requires, and the exact commands or templates for runtime adapter generation.

Expand step 5 (Package verification) into an explicit validate → fix → retry feedback loop so failures are handled rather than just named.

Move detailed per-mode and per-adapter instructions into one-level-deep reference files (e.g. MODES.md, ADAPTERS.md) and link them from the overview to improve progressive disclosure.

DimensionReasoningScore

Conciseness

The body is lean with no padding or explanation of concepts Claude already knows; every line (header, alias note, numbered steps) earns its place.

5 / 5

Actionability

It lists concrete artifacts (mode names, the four runtime adapters Codex/Claude/Gemini/Antigravity) but gives no executable commands or specifics for how to classify modes, run the interview gate, or author a routing card and soul.

3 / 5

Workflow Clarity

Steps 1–5 are clearly sequenced and include a "Package verification" step, but the verification step has no feedback loop (validate → fix → retry), which the rubric caps at 3 for build/package operations.

3 / 5

Progressive Disclosure

The body is a well-organized overview with a clear header and numbered list, but the multi-mode complexity (three modes, four adapter generators) arguably warrants one-level-deep reference files that are not provided.

4 / 5

Total

15

/

20

Passed

Description

82%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 an explicit "Use when..." trigger clause with multiple command aliases and a clear statement of what the skill does. The only soft spot is specificity, since the listed actions are generic verbs rather than concrete capabilities.

DimensionReasoningScore

Specificity

The phrase "design, build, and package a single agent or multi-agent team" names the domain plus three actions, but the verbs are generic and not a comprehensive, concrete action list.

3 / 5

Completeness

It explicitly answers both "what" (design, build, and package agents/teams) and "when" (Use when the user types the named commands) with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Explicit triggers "/agentlas-build, /agentlas build, or /hep-build" give good alias coverage that users would naturally type, but coverage is command-only with no natural-language synonyms.

4 / 5

Distinctiveness Conflict Risk

The branded slash commands create a clear niche with distinct triggers and minimal risk of firing for an unrelated skill.

5 / 5

Total

17

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
agentlas-ai/Agentlas-OS
Reviewed

Table of Contents

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