ideogram-cost-tuning
Optimize Ideogram costs through model selection, caching, and usage monitoring. Use when analyzing Ideogram billing, reducing API costs, or implementing budget alerts and usage tracking. Trigger with phrases like "ideogram cost", "ideogram billing", "reduce ideogram costs", "ideogram pricing", "ideogram budget", "ideogram credits".
85
83%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-structured skill description with explicit 'Use when' and 'Trigger with' clauses, strong trigger term coverage, and a clearly distinctive niche. The main weakness is that the specific capabilities (model selection, caching, usage monitoring) could be more concretely described with additional detail about what actions are actually performed.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Ideogram cost optimization) and some actions (model selection, caching, usage monitoring), but the actions are somewhat general and not deeply concrete—e.g., it doesn't specify what 'caching' entails or what 'usage monitoring' produces. | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize Ideogram costs through model selection, caching, and usage monitoring) and 'when' (explicit 'Use when' clause with triggers for billing analysis, cost reduction, budget alerts, and usage tracking). | 3 / 3 |
Trigger Term Quality | Explicitly lists multiple natural trigger phrases users would say: 'ideogram cost', 'ideogram billing', 'reduce ideogram costs', 'ideogram pricing', 'ideogram budget', 'ideogram credits'. These cover a good range of natural variations. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive—focuses specifically on Ideogram API cost optimization, which is a very narrow niche unlikely to conflict with other skills. The repeated 'ideogram' qualifier in trigger terms further reduces conflict risk. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, actionable skill with executable code examples covering multiple cost optimization strategies. The pricing table and error handling table add practical value. The main weakness is that the skill is somewhat long for a SKILL.md overview—the detailed implementations could be split into referenced files to improve progressive disclosure and reduce token consumption.
Suggestions
Consider moving the full caching and budget tracking implementations to a separate reference file, keeping only the key patterns and function signatures in SKILL.md.
Remove the 'Output' section as it merely restates what was already covered in the steps and checklist.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with useful pricing tables and code examples, but includes some unnecessary verbosity like inline cost calculations in comments (e.g., '// Cost: 5 x $0.05 = $0.25') and the Output section which just restates what was already covered. The code examples are longer than strictly necessary for conveying the patterns. | 2 / 3 |
Actionability | Provides fully executable TypeScript code for each optimization strategy—two-phase generation, batching, caching with hash keys, and budget tracking with alerts. The API call example includes headers, endpoint URL, and request body structure. The pricing table and checklist are immediately usable. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced from cheap drafting through batching, caching, budget tracking, and billing configuration. The budget tracker includes explicit validation checkpoints (80% warning threshold, hard stop at 100%). The error handling table provides a feedback loop for common failure modes. The checklist serves as a verification summary. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear sections, but it's quite long (~150 lines of code) and could benefit from splitting detailed implementations into separate reference files. The reference to 'ideogram-reference-architecture' at the end is good, but the caching and budget tracking implementations could be externalized with just the pattern shown inline. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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