model-usage

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

3.70x

Quality

—

Does it follow best practices?

Impact

100%

3.70x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is concise, actionable, and well-structured, with executable commands and clearly signaled one-level references to real bundle files. It appropriately assumes Claude's competence and splits detail into the reference and script.

Dimension	Reasoning	Score
Conciseness	The body is lean — short Overview, copy-paste commands, and tight bullet sections — and assumes Claude's competence without explaining what CodexBar or cost logs are, matching the lean-and-efficient anchor.	3 / 3
Actionability	It provides fully executable commands (e.g. `python {baseDir}/scripts/model_usage.py --provider codex --mode current`) backed by a real bundled script, plus concrete file/stdin examples, meeting the copy-paste-ready anchor.	3 / 3
Workflow Clarity	Quick start gives a clear two-step sequence and the Inputs section disambiguates the CLI-vs-file alternatives; as a read-only summarization skill with no destructive/batch operations, the simple-skill scoring note permits a 3 without validation checkpoints.	3 / 3
Progressive Disclosure	SKILL.md is an overview that signals one-level-deep references to a real `references/codexbar-cli.md` and a real `scripts/model_usage.py`, with detail appropriately split out rather than inlined, matching the well-signaled one-level-deep anchor.	3 / 3
	Total	12 / 12 Passed

Description

100%

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 concise, specific, and includes an explicit trigger clause tied to CodexBar cost data. It clearly answers both what the skill does and when to use it, with low conflict risk.

Dimension	Reasoning	Score
Specificity	"summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown" names the domain and enumerates concrete sub-actions (current model vs. full breakdown), matching the multiple-specific-actions anchor rather than the vaguer anchor 2.	3 / 3
Completeness	It states what it does (summarize per-model usage) and gives an explicit "Trigger when asked for..." clause, satisfying both the what and when requirement at anchor 3 rather than capping at 2.	3 / 3
Trigger Term Quality	"model-level usage/cost data from codexbar" and "per-model summary from codexbar cost JSON" cover natural terms a user would say when asking for per-model cost; not the jargon-only anchor 1, and broader than the single-variation anchor 2.	3 / 3
Distinctiveness Conflict Risk	Tightly scoped to CodexBar CLI / codexbar cost JSON with provider-specific triggers, giving it a clear niche unlikely to conflict with other skills.	3 / 3
	Total	12 / 12 Passed

Validation

87%

Warnings & errors only

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

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning

	Total	14 / 16 Passed

Repository: trpc-group/trpc-agent-go
Commit: dfab3c6

Reviewed: about 22 hours ago

Table of Contents

Discovery Implementation Validation

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