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baoyu-danger-gemini-web

Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.

66

Quality

82%

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SecuritybySnyk

The risk profile of this skill

SKILL.md
Quality
Evals
Security

Quality

Content

64%Scale 1-3

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

This skill provides solid, actionable CLI documentation with good use of tables and concrete command examples. Its main weaknesses are moderate verbosity (the User Input Tools preamble, redundant Extension Support section, and detailed CDP session reuse explanation), and missing error-handling/validation guidance for the multi-step setup workflow (authentication, consent, generation). The structure is reasonable but could benefit from offloading reference material to separate files.

Suggestions

Remove or significantly trim the 'User Input Tools' section — it's a generic agent instruction that doesn't belong in a skill about Gemini Web API usage, and it consumes tokens without adding skill-specific value.

Add explicit validation/error-handling steps: what does a failed authentication look like, how to verify image generation succeeded, what to do if the script exits with an error code.

Remove the redundant 'Extension Support' section at the bottom since it just points back to the Preferences section already documented above.

Consider moving the detailed Options, Models, and Environment Variables tables to a separate REFERENCE.md file, keeping only the most common options inline.

DimensionReasoningScore

Conciseness

Generally efficient with good use of tables and code examples, but includes some unnecessary sections (e.g., the 'User Input Tools' section explaining tool-selection rules is verbose and tangential, the 'Extension Support' section at the end is redundant with the Preferences section, and the authentication section has some wordy explanations about CDP session reuse).

2 / 3

Actionability

Provides fully executable CLI commands with concrete examples covering all major use cases (text generation, image generation, vision input, multi-turn conversations, JSON output). Options and environment variables are clearly documented in tables with specific flag names and defaults.

3 / 3

Workflow Clarity

The consent check flow is well-sequenced with clear steps. However, the overall first-use workflow (authentication → consent → generation) lacks explicit validation checkpoints — there's no guidance on what to do if authentication fails, if the script errors out, or how to verify successful image generation. The script resolution steps (determining baseDir, resolving BUN_X) are listed but could benefit from error handling guidance.

2 / 3

Progressive Disclosure

References EXTEND.md for configuration and mentions scripts/gemini-webapi/* for implementation details, which is good structure. However, without bundle files to verify, the inline content is somewhat long with sections that could be split out (e.g., the full options table, models table, environment variables could live in a reference file). The consent check details and authentication details add bulk to what should be an overview.

2 / 3

Total

9

/

12

Passed

Description

100%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a strong skill description that clearly articulates specific capabilities (text generation, image generation, vision input, multi-turn conversations), names the underlying technology (reverse-engineered Gemini Web API), and provides explicit trigger guidance with natural user phrases. The description is concise, uses third-person voice, and is distinctive enough to avoid conflicts with other generation-related skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Also specifies the mechanism (reverse-engineered Gemini Web API).

3 / 3

Completeness

Clearly answers both 'what' (generates images and text via Gemini Web API with specific capabilities) and 'when' (explicit 'Use when' clause covering both programmatic use by other skills and direct user requests with example phrases).

3 / 3

Trigger Term Quality

Includes natural trigger terms users would say: 'generate image with Gemini', 'Gemini text generation', 'image generation', 'vision-capable AI generation'. These cover common user phrasings well.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive due to the specific 'Gemini Web API' and 'reverse-engineered' qualifiers. The triggers are clearly scoped to Gemini-based generation, making it unlikely to conflict with other image generation or text generation skills.

3 / 3

Total

12

/

12

Passed

Validation

72%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

8

/

11

Passed

Repository
jimliu/baoyu-skills
Reviewed

Table of Contents

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