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ai-ide-runner

Run prompts in Claude Code, OpenCode, Cursor, or Codex CLIs from the current session — pick one IDE, fan out across several, or compare models. You are a courier that relays the other runtime's stdout verbatim, do not synthesise your own answer. Use on "run in <ide>", "compare <ide> vs <ide>", "try on <model>", "which IDE handles X better", "run across models".

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

85%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.

A highly actionable, well-structured skill with excellent workflow sequencing and progressive disclosure. The main weakness is conciseness — the verbatim-relay and mock-prefix guidance is restated across several sections and could be consolidated.

Suggestions

Consolidate the repeated "courier, not co-author" and X-MOCK-prefix guidance into a single authoritative section; cross-reference it instead of restating the rule in the intro, Output contract, hook subsection, and self-check.

Trim the Gotchas entries to the concrete flag/env facts (e.g. CLAUDECODE="", OpenCode provider/model form, cursor --mode) and drop the surrounding rationale paragraphs that re-explain why.

Reduce the self-check section to a compact 3-item checklist rather than the multi-paragraph right/wrong examples that largely restate the Output contract.

DimensionReasoningScore

Conciseness

Mostly efficient but several sections are padded or repeated — the courier rule and "X-MOCK prefix" guidance are stated multiple times, and the self-check/gotchas sections run long with restated rationale that Claude already grasps.

3 / 5

Actionability

Fully executable guidance: copy-paste parallel-run recipe, per-CLI binary/flag/model-form cheatsheet, and concrete discovery commands covering the common cases.

5 / 5

Workflow Clarity

Clear sequenced workflow (parse → pick model → build & run → present) with an explicit self-check validation checkpoint and error-recovery guidance for hook-blocked and failed runs.

5 / 5

Progressive Disclosure

SKILL.md is a clear overview with two well-signaled one-level-deep references (references/models.md, references/runtimes.md) that hold the bulk detail; navigation is easy and no nesting beyond one level.

5 / 5

Total

18

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20

Passed

Description

92%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.

A strong, specific description with concrete actions, explicit trigger guidance, and a distinctive courier framing. Minor headroom only in trigger-term synonym coverage.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Run prompts in ... CLIs", "pick one IDE, fan out across several, or compare models" — covering invocation, fan-out, and comparison comprehensively.

5 / 5

Completeness

Explicitly states what (run prompts in CLIs and relay stdout verbatim as a courier) and when via a concrete "Use on ..." trigger clause with example phrases.

5 / 5

Trigger Term Quality

Includes several natural trigger phrases users would say ("run in <ide>", "compare <ide> vs <ide>", "try on <model>", "which IDE handles X better", "run across models"); a few common synonyms are absent, so not a full 5.

4 / 5

Distinctiveness Conflict Risk

Clear niche — relaying other IDE CLIs' stdout verbatim — with distinct triggers unlikely to fire for unrelated skills.

5 / 5

Total

19

/

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
korchasa/flowai-plugins
Reviewed

Table of Contents

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