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seedream

Generate AI images using Volcengine Seedream model. Supports text-to-image (T2I), image editing (I2I), multi-image fusion, and web-search-based generation. Use this skill when the user wants to create, generate, or edit images.

63

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./SKILLs/seedream/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with executable commands and complete parameter documentation, but is verbose and monolithic. Repeated setup instructions and inline reference material inflate length without adding proportional value.

Suggestions

De-duplicate the API key setup — it appears in three sections ('配置', '快速开始', '如何配置 API Key'); consolidate into one.

Add an explicit validation/retry checkpoint to the workflow for group generation and failure cases (e.g., on `failed` or HTTP 429, check error, adjust `--timeout`/`--poll-interval`, then retry).

Move the model list, prompt best practices, and full parameter reference into a separate reference file (e.g., REFERENCE.md) referenced one level deep, keeping SKILL.md a concise overview.

DimensionReasoningScore

Conciseness

Mostly efficient with concrete commands, but repeats the ARK_API_KEY export instructions across '配置', '快速开始', and '如何配置 API Key' sections, and includes general guidance like '提示词最佳实践' that teaches broadly-known prompting concepts; matches level 2 'mostly efficient but could be tightened'.

2 / 3

Actionability

Copy-paste-ready bash commands with real flags, model IDs, and `$SKILLS_ROOT` paths, plus full parameter tables with defaults and examples, matching level 3 'fully executable code/commands; copy-paste ready'.

3 / 3

Workflow Clarity

The 3-step synchronous workflow is sequenced, but batch/group generation and failure-prone operations lack integrated validation checkpoints or an explicit validate-fix-retry loop; per the rubric, missing feedback loops for batch operations caps this at 2.

2 / 3

Progressive Disclosure

Bundle is minimal (a scripts/ dir with three files, all correctly referenced one level deep via real paths), but the SKILL.md body is monolithic — model lists, prompt guidance, and the full parameter reference are all inline rather than split into reference files; matches level 2.

2 / 3

Total

9

/

12

Passed

Description

85%

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 that is specific, complete, and distinctive. The main weakness is trigger-term coverage, which mixes user-facing language with technical T2I/I2I jargon and misses everyday synonyms.

Suggestions

Add natural-language synonyms users might say ('AI images', 'photos', 'draw/paint pictures') alongside the T2I/I2I jargon.

Keep the 'Use this skill when' trigger but consider expanding it with a couple more concrete user intents (e.g., 'when the user wants to edit an existing image or fuse multiple images').

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'text-to-image (T2I), image editing (I2I), multi-image fusion, and web-search-based generation' — matching the level-3 anchor of enumerating specific capabilities.

3 / 3

Completeness

Explicitly answers both what ('Generate AI images using Volcengine Seedream model. Supports...') and when ('Use this skill when the user wants to create, generate, or edit images.'), matching the level-3 anchor with an explicit 'Use when' clause.

3 / 3

Trigger Term Quality

Includes some natural user terms ('create, generate, or edit images') but leans on jargon (T2I/I2I) and omits common variations like 'AI images', 'photos', or 'draw'; matches level 2 'some relevant keywords but missing common variations'.

2 / 3

Distinctiveness Conflict Risk

Scoped to the Volcengine Seedream model with distinct generation modes, giving it a clear niche unlikely to conflict with other skills.

3 / 3

Total

11

/

12

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
netease-youdao/LobsterAI
Reviewed

Table of Contents

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