Name: gemini-cli-bridge
Rating: 62.4 (1 reviews)
Author: Raudbjorn

gemini-cli-bridge

Integrate with Google's Gemini CLI for delegating tasks to Gemini. Use when you need an alternative AI perspective, Google Search grounding, parallel task execution, or want to leverage Gemini's 1M token context window. Enables "Claude calling Gemini" patterns for diverse AI collaboration.

Quality

72%

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Securityby

Low

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tessl review fix ./planning/done/gemini-cli/skill/SKILL.md

The canonical home for this skill is gemini-cli-bridge in Raudbjorn/TTTRPS

Quality

Content

57%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 a well-structured, actionable reference for calling Gemini via MCP, CLI, and Rust, with strong executable examples. Its weaknesses are redundancy and the lack of any multi-step workflow with validation checkpoints or progressive disclosure into separate reference files.

Suggestions

Remove the repeated free-tier (1000 req/day) and 1M-context mentions, stating each once in the most relevant section to tighten conciseness.

Replace the illustrative '[gemini_search]' pseudo-syntax in Example Workflows with the actual executable command or MCP tool invocation so the examples are copy-paste ready.

Move detailed Authentication methods and Example Workflows into separate reference files (e.g., AUTH.md, EXAMPLES.md) linked from the body to improve progressive disclosure.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with well-organized tables and code blocks, but includes redundancy (the 1000 req/day free tier and 1M-token context are repeated across the table, Error Handling, and Authentication) and a promotional comparison table that could be trimmed, fitting the 'mostly efficient but could be tightened' anchor.	3 / 5
Actionability	Provides concrete, copy-paste-ready commands ('gemini -p "..." --output-format json', 'cat error.log \| gemini -p "..."'), MCP tool names, config JSON, and a Rust example, but the Example Workflows use illustrative pseudo-syntax ('[gemini_search]') rather than truly executable calls, leaving a minor gap below anchor 5.	4 / 5
Workflow Clarity	The body is a reference catalog of usage patterns (MCP / CLI / Rust) rather than a sequenced multi-step workflow, and it lacks any explicit validation checkpoints or feedback loops; while no destructive operation requires them, the absence of a clear sequence places it at anchor 3.	3 / 5
Progressive Disclosure	Section organization is reasonable (When to Use, Usage Patterns, Configuration, Error Handling, Authentication), but at 167 lines everything is inlined with no one-level-deep references to separate files, and content like detailed auth methods and example workflows could be split out, matching the 'structure present but content that should be separate is inline' anchor.	3 / 5
	Total	13 / 20 Passed

Description

87%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: third-person voice, explicit 'Use when' trigger guidance, and a well-scoped niche that distinguishes it from other skills. The only soft spot is specificity, where the listed capabilities lean motivational rather than enumerating concrete operational actions.

Dimension	Reasoning	Score
Specificity	Names the domain ('Integrate with Google's Gemini CLI for delegating tasks to Gemini') and lists several specific capabilities (search grounding, parallel task execution, 1M token context), though the items read more as use-case motivations than operational actions, keeping it just below the comprehensive anchor 5.	4 / 5
Completeness	Explicitly answers both 'what' ('Integrate with Google's Gemini CLI for delegating tasks to Gemini') and 'when' ('Use when you need an alternative AI perspective, Google Search grounding, parallel task execution...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes natural trigger phrases a user might say ('alternative AI perspective', 'Google Search grounding', 'parallel task execution') with good coverage, but misses common synonyms or shorthand variations that would push it to anchor 5.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear, narrow niche (delegating to a specific external AI, Gemini) with Gemini-specific triggers, making conflict with other skills minimal.	5 / 5
	Total	18 / 20 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: Raudbjorn/TTTRPS
Path: planning/done/gemini-cli/skill/SKILL.md
Commit: abd89fa

Reviewed: 1 day ago

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