Source package available for inspection
The package could not be checked: plugin.json returned 403.
Static source inspection
Analyze token usage, estimate API costs, compare AI models, and assess file sizes for context window optimization. A toolkit for understanding and managing AI resource consumption. This catalog entry is pinned to reviewed commit 02a384dfddd3 and records a qualification score of 82/100.
Independent catalog review
Format
100/100
Quality
64/100
Qualified
82/100
Scores reflect package format and editorial quality checks at the fixed reviewed commit. They are not popularity ratings or security guarantees.
Installation
Install the plugin from novanoticia/token-calculator-suite at .. The generated command uses sparse checkout and keeps the reviewed repository path visible.
git clone --depth 1 https://github.com/novanoticia/token-calculator-suite.git
cd token-calculator-suiteExplainable standards check
Official latest version: 1.0.0 (Working Draft). The value is read from the official specification and cached for one day.
This is a static package-format check, not a security audit, quality score, malware scan, or guarantee of client compatibility.
The package could not be checked: plugin.json returned 403.
Static source inspection
Independent catalog review
This is the original assessment excerpt captured during manual catalog selection. It describes review evidence, not a security guarantee or user rating.
A clearly packaged Agent Plugin with a valid-looking manifest and four coherent skills covering token estimation, file planning, project budgeting, and model selection. The guidance is actionable, with formulas, workflows, output formats, optimization tips, and installation instructions. However, its practical accuracy is limited by coarse character-ratio heuristics and fixed file-type assumptions rather than demonstrated tokenizer-based measurement. Pricing, model capabilities, context limits,…
Capabilities
Analyze token usage, estimate API costs, compare AI models, and assess file sizes for context window optimization. A toolkit for understanding and managing AI resource consumption.
The reviewed package declares 4 skill(s), 0 MCP configuration(s), and 0 additional resource(s).
Analyze token usage, estimate API costs, compare AI models, and assess file sizes for context window optimization. A toolkit for understanding and managing AI resource consumption.
Inspect the package at commit 02a384dfddd3 with recorded format, quality, and qualification evidence.
Practical workflow
Inspect plugin.json, the linked documentation, package inventory, license, and qualification excerpt at the reviewed commit.
Install from the pinned repository path, confirm the client discovers the declared components, and review permissions before real use.
Package contents
token-calculator declares 4 Skills, 0 MCP configurations, and 0 additional resources. The included-file links below point to the reviewed source repository.
Agent Skills
4
file-analysis, model-comparison, project-cost, token-analysis
MCP servers
0
No runtime service
Package format
Agent Plugins
Official latest 1.0.0
Synced source content
This README snapshot is stored by Agent Plugins Hub and refreshed by the daily GitHub synchronization pipeline. Remote images and embedded content are not loaded.
This repository does not currently provide a README snapshot. The plugin instructions below remain available.
Source documentation
Rendered from the linked GitHub source. Raw HTML is disabled, scripts cannot execute, remote images are omitted, and external links open separately.
This page describes the fixed source snapshot selected for the Agent Plugins Hub catalog. It does not extend the upstream package's claims.
Analyze token usage, estimate API costs, compare AI models, and assess file sizes for context window optimization. A toolkit for understanding and managing AI resource consumption.
file-analysis, model-comparison, project-cost, token-analysis.02a384dfddd329cca899a5c17e30603eba07ddeaagent-pluginA clearly packaged Agent Plugin with a valid-looking manifest and four coherent skills covering token estimation, file planning, project budgeting, and model selection. The guidance is actionable, with formulas, workflows, output formats, optimization tips, and installation instructions. However, its practical accuracy is limited by coarse character-ratio heuristics and fixed file-type assumptions rather than demonstrated tokenizer-based measurement. Pricing, model capabilities, context limits,…
The source CSV stores a 500-character assessment excerpt, so the paragraph above may end mid-sentence. It is review evidence, not a security guarantee or user rating.
novanoticia/token-calculator-suite using the plugin directory ..The catalog entry is pinned to the exact commit used during qualification. Upstream content may change after that snapshot.
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