benchmark-models
garrytan/gstack / benchmark-models
compares your gstack skills across Claude, GPT and Gemini , which improves: pick the most reliable model
Details
- judge’s score
- 6/10
- place
- outside the packs
- publisher
- garrytan
- status
- new
- pinned commit
- c580561 on GitHub (new tab)
- skill’s last commit
- Oct 19, 2026
- repo stars
- 137,030
- main type
- Building with Claude
Judgement
Clear topic and real commands, but everything depends on the local gstack binary and the AskUserQuestion flow. The preamble and telemetry are noise. Short description; scripts and appendix not provided.
reservations
- The gstack-model-benchmark binary and the preamble scripts are not provided: flags and actual behavior cannot be verified.
- The generic preamble (telemetry, learnings, plan mode, voice) is largely off-topic for a model benchmark.
- Step 4 refers to a nonexistent 'Step 1B'; the step 3 condition (JUDGE_AVAILABLE) has ambiguous operator precedence.
- The frontmatter description is too short ('Cross-model benchmark for gstack skills'); the triggers carry most of the triggering.
- Triggering
- 1/2
- Added value
- 1/2
- Precision
- 1/2
- Scope
- 2/2
- Quality
- 1/2
Alerts
3 alerts, by category
Network
- high risk
The chosen prompt (including the content of a SKILL.md or a local file) is sent to three external providers (Anthropic, OpenAI, Google); to flag before launch.
Data
- medium risk
The preamble asks to run telemetry scripts and write learnings to ~/.gstack, unrelated to the task.
Static scan
- info risk
allowed-tools frontmatter
Bash - Read - AskUserQuestion
Original description
Cross-model benchmark for gstack skills. (gstack)
added on Oct 19, 2026 · license MIT