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domino-governance

Manage model risk governance in Domino using policies, bundles, and evidence. Covers creating governance bundles, attaching model artifacts and MLflow results as evidence, progressing through policy stages, and documenting findings. Use when the user mentions governance, compliance, bundles, policies, model risk management, SR 11-7, NIST AI RMF, or audit trails.

84

1.30x
Quality

90%

Does it follow best practices?

Impact

90%

1.30x

Average score across 2 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

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.

A highly actionable, well-validated reference: executable curl examples with feedback loops throughout, and a clear one-level-deep reference structure across twelve workflow files. The main costs are redundancy — the base-URL selection logic explained three times in Configuration — and overlap between the inline 8-step workflow and the referenced workflow files.

Suggestions

Collapse the Configuration section's triple explanation of base-URL selection (table, curl block, 'Takeaways for agents') into the decision table plus one curl probe snippet; the five takeaways largely restate the table rows.

Slim the Standard 8-Step section to the step list with links to the twelve workflow files, since the body itself instructs reading the workflow files first and the steps duplicate their content.

Consider moving the full Governance API endpoint table into a reference file (e.g., API-SPECS-adjacent), keeping only the endpoints used in the 8-step flow inline.

DimensionReasoningScore

Conciseness

The body is dense with non-obvious, platform-specific facts (auth paths, endpoint semantics, evidenceSet ID discovery) and contains almost no generic explanation Claude already knows. Not a 5: the base-URL selection logic in Configuration is explained three times (table, curl block, then the five 'Takeaways for agents' points), which is more than a minor trim candidate — but not the 'several padded sections' of a 3.

4 / 5

Actionability

Every step ships copy-paste-ready curl commands with realistic JSON payloads, environment variables, and an executable conditional-auth idiom ('${TOKEN:+-H "Authorization: Bearer $TOKEN"}'). The common cases — create bundle, attach ModelVersion/Report, submit evidence, publish approval, create/close finding — are all covered with concrete code, matching 'fully executable; copy-paste ready'.

5 / 5

Workflow Clarity

The 8-step workflow has a clear sequence with explicit validation checkpoints and feedback loops: try each base 'until GET $BASE/policy-overviews returns HTTP 200', 'Re-fetch the bundle and verify stage ... changed before continuing', and poll 'GET /results/latest?bundleID={bundleId} until ... isLatest: true'. This matches the anchor-5 pattern of sequence plus explicit validation with retry loops.

5 / 5

Progressive Disclosure

Good structure: twelve workflow files are each listed with a one-line purpose under 'Related Documentation' and re-linked at their point of use, and the 'Known platform behaviors' table routes gotchas to files — all one level deep and clearly signaled. Not a 5: the inline 8-step section explicitly overlaps the workflow files ('open the matching workflow file first instead of re-deriving from the 8-step section below'), and the ~290-line body carries a full endpoint table plus workflow that is partially duplicated in the referenced files.

4 / 5

Total

18

/

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 description: it states what the skill does in third person with concrete lifecycle actions and provides an explicit 'Use when the user mentions...' trigger clause with domain-natural terms including regulatory framework names. The only gap is a handful of missing synonyms (e.g., model validation, recertification) in the trigger list.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — 'creating governance bundles, attaching model artifacts and MLflow results as evidence, progressing through policy stages, and documenting findings' — which comprehensively covers the bundle lifecycle. It matches the anchor 'Lists multiple specific concrete actions; comprehensive coverage'; a 4 would require minor coverage gaps, but create/attach/progress/document spans the whole workflow.

5 / 5

Completeness

Both questions are explicitly answered: the first two sentences state what the skill does, and 'Use when the user mentions governance, compliance, bundles, policies, ... SR 11-7, NIST AI RMF, or audit trails' gives concrete trigger phrases. This matches the anchor-5 example structure exactly; a 4 would need a vaguer or less explicit 'when' clause.

5 / 5

Trigger Term Quality

Triggers include natural domain terms ('governance, compliance, bundles, policies, model risk management, SR 11-7, NIST AI RMF, audit trails') plus framework names users would actually say. Not a 5: common synonyms like 'model validation', 'regulatory', 'recertification', or 'approval' are missing, but coverage is otherwise good.

4 / 5

Distinctiveness Conflict Risk

The niche is clear and distinct — Domino model risk governance with framework-specific triggers (SR 11-7, NIST AI RMF) that no generic skill would claim. 'Compliance' and 'governance' alone are broad, but they are anchored to the Domino/model-risk domain, keeping conflict risk minimal.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 30 missing, 1 suspicious

Warning

Total

15

/

16

Passed

Repository
dominodatalab/domino-claude-plugin
Reviewed

Table of Contents

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