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azure-ai-agents-persistent-java

Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.

53

Quality

60%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/antigravity-azure-ai-agents-persistent-java/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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 delivers concrete, mostly executable Java code organized in a clear six-step workflow, its main strengths. The weaknesses are filler sections that waste tokens, a poll loop with no failure-state validation before destructive cleanup, and code snippets that stop just short of copy-paste runnable.

Suggestions

Remove or merge the 'When to Use', 'Limitations', and 'Key Concepts' filler sections (the latter restates the description verbatim) to tighten token efficiency.

Add an explicit run-status check after polling (handle FAILED, CANCELLED, REQUIRES_ACTION with a fix-and-retry path) and verify success before the destructive deleteThread/deleteAgent cleanup, lifting workflow clarity above 3.

Make the core workflow copy-paste runnable: define modelDeploymentName/name/instructions from the documented environment variables and include the needed imports in one complete example, moving bulk API details to a reference file.

DimensionReasoningScore

Conciseness

Code snippets are tight and instructional, but 'Key Concepts' restates the description verbatim, 'When to Use' ('This skill is applicable to execute the workflow or actions described in the overview') and 'Limitations' are generic filler, and the pinned '1.0.0-beta.1' version is time-sensitive. This fits 'mostly efficient but includes some unnecessary explanation', not 2 (no heavy padding) and not 4 (three filler sections plus a hard-coded version remain).

3 / 5

Actionability

Every workflow step has concrete Java code (client builder, createAgent, createThread, createMessage, run polling, listMessages, cleanup), matching 'mostly executable guidance; concrete code with minor gaps'. Not 5 because variables like modelDeploymentName, name, and instructions are undefined, imports are missing from most snippets, and no single copy-paste-runnable example exists.

4 / 5

Workflow Clarity

The Core Workflow is a clear numbered sequence (create agent, thread, message, run, poll, get response, cleanup), but the poll loop only continues on QUEUED/IN_PROGRESS — a Failed or Cancelled run falls through with no check or recovery before listing messages, and the destructive cleanup (deleteThread/deleteAgent) has no verification. This matches 'sequence present but checkpoints missing', and the missing-validation cap for destructive operations applies; it is not 4 because failure-state handling is a named best practice but never wired into the actual workflow.

3 / 5

Progressive Disclosure

The body is a single well-organized file with clear section headers (Installation, Authentication, Core Workflow, Best Practices, Error Handling, Reference Links) and no nested or buried references — matching 'good structure; most content appropriately placed'. Not 5 because the skill is ~137 lines of API material above the sub-50-line simple-skill exception, and an API/example deep-dive could be split into referenced files to keep SKILL.md a leaner overview.

4 / 5

Total

14

/

20

Passed

Description

58%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 states a clear, specific 'what' with a well-defined niche, but it omits any 'when to use' trigger guidance, which both caps completeness and limits trigger-term quality. Adding an explicit 'Use when...' clause with natural user phrasing would resolve the main weaknesses.

Suggestions

Append a trigger clause such as 'Use when the user asks about the Azure AI Agents service, persistent/threaded agent conversations, or building Java apps with the azure-ai-agents-persistent SDK.'

Include natural synonyms users might say (e.g., 'AI assistant', 'agent thread', 'Azure AI Foundry agents') so the description triggers beyond the SDK's own technical vocabulary.

Slightly expand the action list to cover the full lifecycle (create agents, exchange messages on threads, run and poll for completion, attach tools, clean up resources) to close the remaining specificity gap.

DimensionReasoningScore

Specificity

The description lists several concrete actions — 'creating and managing AI agents with threads, messages, runs, and tools' — which matches the 'several specific actions; minor gaps' anchor. It falls short of 5 because it does not comprehensively cover what the SDK operations entail (e.g., polling run status, tool attachment, cleanup).

4 / 5

Completeness

The 'what' is clearly stated ('creating and managing AI agents with threads, messages, runs, and tools'), but there is no 'Use when...' clause or equivalent trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Keywords like 'Azure AI Agents', 'threads', 'messages', and 'runs' are relevant and would be said by a user already working with this SDK, but common natural variations and synonyms ('AI assistant', 'agent service', 'Azure OpenAI agents') are missing. Not 4 because coverage of natural phrasing is thin beyond the SDK's own technical vocabulary.

3 / 5

Distinctiveness Conflict Risk

'Azure AI Agents Persistent SDK for Java' carves out a clear niche with distinct triggers, but there is minor overlap risk with closely related skills (e.g., the Python variant of the same SDK or the OpenAI Assistants API). It is not 5 because no explicit trigger phrases further disambiguate it from those siblings.

4 / 5

Total

14

/

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
boisenoise/skills-collections
Reviewed

Table of Contents

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