aipm-workbench / benchmarks
AGENTS.md2 starsChanged 42 days agoMITView on GitHub
This tree owns required, repository-level performance gates whose measured user path crosses package ownership. Package-local diagnostics remain beside their owners and use the .perf.ts suffix instead of joining test:bench.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- Yao920127/claude-code-harnessword for word, first seen Oct 11, 2026
- SuperJJ007/papermachineword for word, first seen Sep 12, 2026
- SparkElf/deepseek-harness-plusword for word, first seen Sep 11, 2026
Other versions3 projects use a version of this.
Word for word · 3
- SuperJJ007/papermachine★ 59100% same
- SparkElf/deepseek-harness-plus★ 1100% same
- Yao920127/claude-code-harness★ 1100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
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.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository25 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/notes/AGENTS.mdAGENTS.md
- .agents/notes/archived/AGENTS.mdAGENTS.md
- .agents/notes/implemented/AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
- .github/AGENTS.mdAGENTS.md
- packages/AGENTS.mdAGENTS.md
- scripts/AGENTS.mdAGENTS.md
- snapshots/AGENTS.mdAGENTS.md
- vendor/AGENTS.mdAGENTS.md
- website/AGENTS.mdAGENTS.md
- dsh-archive-agent-notesSkill
- dsh-ci-test-reliabilitySkill
- dsh-client-ui-uxSkill
- dsh-code-reviewSkill
- dsh-create-upgrade-guideSkill
- dsh-docSkill
- dsh-find-simplificationsSkill
- dsh-merging-stacked-prsSkill
- dsh-pre-push-checksSkill
- dsh-prose-standardSkill
- dsh-speed-up-perfSkill
- dsh-translate-docsSkill
- dsh-trim-cot-leakageSkill
- record-browser-gifSkill
The file
We split this AGENTS.md into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
Run process-level wall-clock and retained-memory samples in fresh children with private mkdtemp roots.
- Very specific: line 13
Keep scenario-specific support beside its benchmark.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md — Performance Benchmarks
This tree owns required, repository-level performance gates whose measured user path crosses package ownership. Package-local diagnostics remain beside their owners and use the .perf.ts suffix instead of joining test:bench.
- Organize benchmarks by measured user path, one directory per path. Do not mirror the package tree.
- Host cases use
*.bench.ts; Client-face cases use*.bench.client.ts. Worker, fixture, and support modules do not carry a benchmark suffix. - The private
@deepseek-ai/dsh-benchmarksworkspace owns benchmark-only dependencies.test:benchbuilds workspace libraries andbenchmarks/.dsh-build/workers before Vitest orchestration. Timed CPU work runs in those workers under plain Node, without a TypeScript loader; runtime package imports must resolve to builtlib/entries. - Browser workflow cases drive built Client bundles through the shared shipped-composition Web scaffold. Report its source-resolved test Host separately from published-Host evidence; two animation frames prove a rendering opportunity, not hardware presentation. Use fresh browsers and private scaffold worlds per sample.
- Synthesize fixed inputs from reviewed constants. Never use recorded Sessions, user material, ambient repositories, or network services.
- Run process-level wall-clock and retained-memory samples in fresh children with private
mkdtemproots. Pure synchronous folds create a fresh object graph per sample and must not mutate process-global state. Bound every child, await exit, and remove owned roots after failure as well as success. - Record reference-machine expectations separately from the shared CI time scale and variance headroom. Do not apply the time scale to memory or dimensionless ratios.
- Report enough raw and aggregate measurements to explain each verdict, including whether a budget uses a median, minimum, absolute value, or ratio. Enforce reviewed source constants; environment variables must not override performance budgets.
- Keep scenario-specific support beside its benchmark. Move a helper into
benchmarks/support/only after at least two benchmark directories require the same behavior. - Exercise production entry points. Do not copy product algorithms, add production exports solely for measurement, or turn benchmark completion into duplicate semantic assertions.
- A compiled worker may bundle a private integration adapter when no public Node export exposes the measured user path. Keep package imports external so product services resolve through their built package exports.
- Record the workload, timing boundary, memory endpoint, calibration reference, alternatives, and known exclusions in the owning Agent Note.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

