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consult

Quick-action skill to fan out a question across ready AI provider CLIs (Claude, Codex, Antigravity, Copilot, Qwen, OpenCode) in parallel and synthesize a single recommendation. Use for one-shot advisory queries or when invoking /consult. For deep multi-model debate/review and circuit-breaker behavior, see quintet-fleet-dispatch.

Quality

87%

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.

An efficient, actionable skill body: a well-sequenced workflow with explicit validation, fallback, and empty-pool handling, plus a concrete deliverable format. The one weakness is progressive disclosure — the sole external reference is missing from the bundle (and uses an odd ../../ href), so the detail layer it promises cannot actually be loaded.

Suggestions

Ship references/CLI_REFERENCE.md in the skill bundle (or remove the Reference Materials section) — the link currently points to a file that does not exist, so the promised CLI detail layer is unreachable.

Fix the link to a bundle-relative path, e.g. [references/CLI_REFERENCE.md](references/CLI_REFERENCE.md), instead of the two-level-up ../../references/CLI_REFERENCE.md href.

Make step 3's validation concrete like step 2: state what indicates collected responses (e.g. the consult output shape or exit code), and include provider codes for Copilot and Qwen so the example matches the six CLIs advertised in the description.

DimensionReasoningScore

Conciseness

Lean 33-line body with zero concept explanation: a numbered workflow, one copy-paste bash block (including the binary-resolution fallback chain, which earns its tokens), a failure-handling step, and a fixed output template. Only the opening sentence restates the frontmatter, which is conventional and minimal; not 4 because there is no over-explanation to trim.

5 / 5

Actionability

The core is fully executable — the bash block resolves the quintet binary across four fallback locations and runs a concrete consult command, and the deliverable template is copy-ready. Not 5: step 3's 'Verify responses were collected from ready models' gives no concrete means of verification (no command or output shape), and the example provider list (claude,codex,agy,opencode) omits provider codes for two of the six advertised CLIs.

4 / 5

Workflow Clarity

Clear four-step sequence with explicitly named checkpoints: readiness check ('quintet doctor'), then execution, then a validation step with three error-recovery branches (provider timeout/error → log and synthesize from available responses; zero responses → prompt user to check CLI auth), then a fixed synthesis format. This matches the anchor-5 pattern of explicit validation with error-recovery paths.

5 / 5

Progressive Disclosure

The body itself is well organized with a single clearly signaled one-level reference ('Complete CLI subcommands, options, and setup'), but scoring against the actual bundle shows references/CLI_REFERENCE.md does not exist — there is no references/ directory in the bundle — so the pointer is a dead end. Not 4: a broken referenced path is more than a minor organization gap; not 2: the body structure and signaling are good, only the referenced layer is missing.

3 / 5

Total

17

/

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.

A strong description: it states concrete capabilities, an explicit 'Use when' trigger clause covering both natural queries and slash-command invocation, and explicit boundary guidance that routes deep debate/review work to a sibling skill. Only minor trigger synonyms are missing.

DimensionReasoningScore

Specificity

Concrete actions are named — 'fan out a question across ready AI provider CLIs (Claude, Codex, Antigravity, Copilot, Qwen, OpenCode) in parallel and synthesize a single recommendation' — with the provider set and execution mode (parallel, one-shot) explicit. Not 5: only two core actions are described and the output shape (consensus/disagreements) is absent; not 3: it goes well beyond 1-2 generic actions by enumerating providers and the synthesis step.

4 / 5

Completeness

Explicitly answers both what ('fan out a question across ready AI provider CLIs ... and synthesize a single recommendation') and when ('Use for one-shot advisory queries or when invoking /consult') with concrete trigger phrases, matching the anchor-5 example structure.

5 / 5

Trigger Term Quality

Good natural coverage: 'Use for one-shot advisory queries or when invoking /consult', 'fan out a question', plus the six provider names users would naturally mention. Not 5: misses common synonyms such as 'second opinion', 'ask multiple AIs', or 'cross-check with other models'.

4 / 5

Distinctiveness Conflict Risk

Clear niche (quick multi-model consult) with explicit boundary guidance — 'For deep multi-model debate/review and circuit-breaker behavior, see quintet-fleet-dispatch' — which actively disambiguates it from the closest sibling skill; minimal conflict risk.

5 / 5

Total

18

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 suspicious

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

14

/

16

Passed

Repository

salemaziel/omc-octo-quintet

Path

skills/consult/SKILL.md

Reviewed

Table of Contents

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