benchmark
Skill46 starsChanged 31 days agoMITView on GitHub
Run the published 20-task Sipcode benchmark on the user's machine and report the median savings on the synthetic corpus (62.6%). Reproducible, locked corpus. Use when the user asks "what's the proof?", "how much does sipcode actually save?", "run the benchmark", or wants to verify the headline savings claim themselves.
95 other projects use a version of this.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- accso/ai-context-mcptheir own version, first seen Nov 8, 2026
- timurgaleev/vibestacktheir own version, first seen Nov 8, 2026
- pankaj-mahaur/Agent-Daemontheir own version, first seen Nov 6, 2026
- datafusion-contrib/datafusion-distributedtheir own version, first seen Nov 2, 2026
- menot-you/n-soultheir own version, first seen Nov 1, 2026
Used with
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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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- +1 more from Saqlain-811
Other versions95 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 95
- garrytan/gstack★ 141ksame name
- dragonflydb/dragonfly★ 32ksame name
- xtermjs/xterm.js★ 21ksame name
- udecode/plate★ 17ksame name
- Z3Prover/z3★ 13ksame name
- androidx/androidx★ 6.1ksame name
- samchon/typia★ 6ksame name
- PaddlePaddle/FastDeploy★ 3.7ksame name
- zalando/skipper★ 3.3ksame name
- samchon/nestia★ 2.2ksame name
85 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 81 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
If they want a quick smoke (3 tasks, ~15s), tell them to run npx sipcode benchmark --quick.
- Distinctive: line 11
When the user reports back the output:
“Common” is measured: kept by at least 6 in 10 of the 81 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Sipcode — Benchmark (the reproducibility proof)
Tell the user to run npx sipcode benchmark in their terminal (this is a CLI command, not an MCP tool — the benchmark requires file I/O outside the MCP scope). It takes ~90 seconds.
If they want a quick smoke (3 tasks, ~15s), tell them to run npx sipcode benchmark --quick.
When the user reports back the output:
- The headline is the median savings % across the 20 tasks. Target: ~62.6%, range typically 37.4% – 80.6%.
- Surface where the savings came from — typically:
- ~30% from S001 smart manifest
- ~34% from S021 output compression
- ~36% from S030 read-once cache
- Be explicit that these are simulation numbers computed against the locked corpus, not a live Claude session A/B. The methodology is at
benchmark/METHODOLOGY.mdfor reproducibility.
The benchmark is deterministic: the locked corpus always produces 62.6%. A different number means a different Sipcode version or a modified corpus, not a workload signal. For the user's real savings, point them to sipcode impact, which compares their own sessions before and after install.
Does it work?
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