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dry-run-a-risky-change

Billing, plans, seats, permissions, access rules, auth, flag removals or data migrations that could lock real organizations out or change what they pay. Use before merging or deploying such a change to see exactly which production organizations it affects, prove the UI on production-shaped data, and only with explicit approval test against a PlanetScale copy of real data.

Quality

90%

Does it follow best practices?

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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 lean, highly actionable skill with exact tool names, commands, paths, and scopes, and a clearly sequenced three-level workflow with strong validation and rollback checkpoints for its destructive operations. The only improvement areas are tightening a few Level 3 setup sentences and potentially splitting that setup detail into a reference file.

DimensionReasoningScore

Conciseness

The body assumes Claude's competence and contains no filler — every paragraph carries repo-specific, non-obvious facts (JSON-compares-as-text trap, 14s timeout, credential-table refusals, exact token scopes). A few sentences in the Level 3 setup and guards paragraphs could be tightened, matching the 4 anchor of minor trimmable instances rather than the fully lean 5.

4 / 5

Actionability

Fully executable throughout: exact MCP tool names including forbidden write tools, an exact SQL fix pattern, copy-paste commands ('pnpm evals:e2e <name> --local', 'gh workflow run prod-data-dry-run.yml --ref <branch> -f check=<name>.ts'), exact file paths, environment variable names, and token scopes. This matches the 5 anchor of copy-paste ready commands covering the common cases.

5 / 5

Workflow Clarity

The three levels are explicitly sequenced ('answer three questions in order and stop at the first level that answers them') with explicit validation checkpoints and feedback loops for the destructive/batch operations: 'Verify absence after the run; cleanup can fail', re-running with cleanup_only, 're-run the Level 1 query, and confirm nobody is newly blocked before deploying', required reviewer approval, and a rollback section. This matches the 5 anchor, exceeding the 4 anchor's 'minor validation gaps'.

5 / 5

Progressive Disclosure

The skill is a single well-sectioned file with clear per-level headers and appropriately placed content, and there are no bundle files to reference. The dense Level 3 token-setup and guards paragraphs are operational detail that could arguably live in a reference file, a minor organization gap matching the 4 anchor rather than the cleanly split 5.

4 / 5

Total

18

/

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, specific description that names a concrete domain, gives three concrete capabilities, and provides an explicit 'Use before merging or deploying' trigger clause. Its only weaknesses are compressed phrasing of the actions and a few missing natural synonyms.

DimensionReasoningScore

Specificity

The description lists several concrete actions ('see exactly which production organizations it affects', 'prove the UI on production-shaped data', 'test against a PlanetScale copy of real data') across a named domain list (billing, plans, seats, permissions, auth, flag removals, migrations). It falls just short of the 5 anchor because the actions are compressed into one sentence rather than fully enumerated with comprehensive coverage.

4 / 5

Completeness

Both what and when are explicitly answered: the what is three concrete dry-run actions, and the when is 'Use before merging or deploying such a change' tied to an explicitly enumerated trigger list. The when clause is explicit and concrete, not the 'could be more explicit' case of the 4 anchor.

5 / 5

Trigger Term Quality

Good coverage of natural terms users would say ('billing', 'plans', 'seats', 'permissions', 'auth', 'data migrations', 'merging', 'deploying', 'PlanetScale'), but a few natural domain synonyms such as 'pricing', 'entitlements' or 'rollout' are missing, so it matches the 4 anchor rather than comprehensive 5.

4 / 5

Distinctiveness Conflict Risk

Clear niche (pre-merge production impact dry-runs and PlanetScale data copies) with distinct triggers ('flag removals', 'lock real organizations out', 'change what they pay') that minimize overlap with generic testing or deployment skills.

5 / 5

Total

18

/

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

different-ai/openwork

Path

.opencode/skills/dry-run-a-risky-change/SKILL.md

Reviewed

Table of Contents

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