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ito-compute

Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, validate GPU nodes, revoke Itô access, or rent or purchase GPU compute and needs the supported boundary explained.

76

Quality

94%

Does it follow best practices?

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

88%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 highly actionable, well-structured operations guide: every workflow step is executable, gated by explicit authorization, and has validation/recovery checkpoints. The only weaknesses are mild repetition of unsupported-operation caveats across sections and a monolithic single-file layout where MCP and qualification details could be externalized.

Suggestions

Consolidate the repeated boundary statements ('does not move funds or reserve capacity', 'ECC itself does no browser automation') into the single 'Unsupported operations' section and reference it once from the workflow steps to trim repeated tokens.

Move the MCP server JSON configuration and the live node-qualification details into one-level-deep reference files (e.g. references/mcp.md, references/qualification.md) with brief inline pointers, keeping SKILL.md as a lean overview.

DimensionReasoningScore

Conciseness

The body is dense, imperative, and assumes competence with no basic-concept explanations, but boundary caveats are repeated ('ECC itself does no browser automation' appears twice; 'does not move funds or reserve capacity' appears in three sections), so some tokens could be trimmed — the minor-trimming anchor, not the every-token-earns-its-place anchor at 5.

4 / 5

Actionability

Fully executable, copy-paste-ready commands with complete flag sets (the `ecc ito find` example, the evals invocation with gating flags) plus a concrete MCP server JSON config cover the common cases — the exact anchor-5 pattern; not 4 because there are no gaps in executable detail.

5 / 5

Workflow Clarity

The CLI workflow is a clearly sequenced 7-step list with explicit validation checkpoints (auth validation, explicit buyer authority before an RFQ, status check before repeating `find` after an ambiguous transport failure, a hard gating checklist for evals) and error-recovery guidance, matching the validation-and-feedback-loops anchor; destructive/spending operations all carry explicit approval gates, so the score-3 cap does not apply.

5 / 5

Progressive Disclosure

No bundle files exist and the single file is cleanly sectioned with headers, but at ~165 lines the MCP configuration and node-qualification sections could be split into one-level-deep reference files — good structure with minor organization gaps (anchor 4), short of anchor 5's well-signaled references, and above anchor 3 since nothing that clearly belongs in a separate file is buried or unorganized.

4 / 5

Total

18

/

20

Passed

Description

100%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 exemplary: it enumerates concrete capabilities in third person, provides an explicit 'Use when' clause with natural trigger phrases and synonyms, and is tightly scoped to a distinct niche. It is concise while remaining comprehensive.

DimensionReasoningScore

Specificity

Lists five concrete third-person actions ('Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification') covering the full CLI surface, matching the comprehensive-coverage anchor; not 4 because there are no coverage gaps.

5 / 5

Completeness

Explicitly answers both what (first sentence enumerates the capabilities) and when ('Use when a user asks to find H100/H200 capacity...'), with concrete trigger phrases — the exact anchor-5 pattern; a 'Use when' clause is present so the score-3 cap does not apply.

5 / 5

Trigger Term Quality

Natural user phrases ('find H100/H200 capacity', 'request a fixed compute rate', 'check Itô compute status', 'validate GPU nodes', 'revoke Itô access', 'rent or purchase GPU compute') include synonyms and product names a user would actually say, matching the comprehensive-synonyms anchor rather than the few-terms-missing anchor at 4.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Itô fixed-rate GPU compute RFQs via the canonical CLI) with vendor- and product-specific triggers, so overlap with generic cloud, GPU, or purchasing skills is minimal — the distinct-triggers anchor, not the minor-overlap anchor at 4.

5 / 5

Total

20

/

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
affaan-m/ECC
Reviewed

Table of Contents

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