add-benchmark
Skill253 starsChanged 5 months agoMITView on GitHub
Use when adding or updating a benchmark adapter in the Exgentic repository. Follow the repository benchmark principles, keep the benchmark contract protocol-agnostic, prefer the thinnest possible wrapper that makes the benchmark accessible to any Exgentic agent, reuse external harness assets and scoring where possible, and validate the adapter with representative smoke tests before finishing.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- huggingface/paperswithcodetheir own version, first seen Nov 1, 2026
- allenai/vla-evaluation-harnesstheir own version, first seen Oct 8, 2026
- NVIDIA-NeMo/Gymtheir own version, first seen Oct 8, 2026
- ory/lumentheir own version, first seen Aug 11, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- NVIDIA-NeMo/Gym★ 1.3ksame name
- allenai/vla-evaluation-harness★ 677same name
- huggingface/paperswithcode★ 315same name
- ory/lumen★ 254same name
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.
In this repository9 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- frontend/CLAUDE.mdCLAUDE.md
- frontend/packages/app/CLAUDE.mdCLAUDE.md
- frontend/packages/config/CLAUDE.mdCLAUDE.md
- frontend/packages/shared/CLAUDE.mdCLAUDE.md
- frontend/packages/ui/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- android-testerSkill
- add-agentSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 9 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
9
Distinctive
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
- Distinctive: line 8
Use this skill when working on benchmark adapters in the Exgentic repository.
- Distinctive: line 26
Keep the agent-facing contract protocol-agnostic.
- Distinctive: line 27
Do not define the benchmark in terms of one provider's chat or tool-calling format.
- Distinctive: line 29
Prefer the thinnest possible wrapper.
- Very specific: line 36
Prefer a benchmark module, a setup.sh, and a registry entry with clear responsibilities.
- Distinctive: line 39
Check task listing, subset listing, happy-path scoring, failure-path scoring, and error semantics.
- Distinctive: line 46
Prefer the thinnest wrapper that preserves the benchmark's meaning.
- Very specific: line 48
Use finish only when it is part of the benchmark contract.
- Distinctive: line 49
If outputs are not real execution results, say so plainly in the benchmark contract.
- Distinctive: line 50
Keep success, unsuccessful completion, unfinished runs, and errors distinct.
- Distinctive: line 54
Before finishing, run at least:
“Common” is measured: kept by at least 6 in 10 of the 4 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
Add Benchmark
Use this skill when working on benchmark adapters in the Exgentic repository.
First read
Start with:
docs/adding-benchmarks.mdsrc/exgentic/core/benchmark.pysrc/exgentic/interfaces/registry.py
Then inspect the most relevant existing adapters:
src/exgentic/benchmarks/tau2/tau2_benchmark.pysrc/exgentic/benchmarks/bfcl/bfcl_benchmark.py
Workflow
- Define the benchmark contract before writing code.
Decide the real
task, the agent-relevantcontext, the semanticactions, the finish condition, and the scoring boundary. - Keep the agent-facing contract protocol-agnostic. Do not define the benchmark in terms of one provider's chat or tool-calling format.
- Prefer the thinnest possible wrapper. Make the benchmark accessible to any Exgentic agent with the minimum translation surface necessary. Do not add extra abstraction, copied logic, or runtime machinery unless it is needed to preserve benchmark meaning.
- Decide the source-of-truth boundary. Reuse external benchmark assets, setup, and scoring where possible, but do not let an external harness dictate the wrong runtime contract for Exgentic.
- Implement runtime, setup, and registration separately.
Prefer a benchmark module, a
setup.sh, and a registry entry with clear responsibilities. - Validate the adapter as a benchmark, not just as code. Check task listing, subset listing, happy-path scoring, failure-path scoring, and error semantics.
Non-negotiable rules
taskmust be the actual task.contextmust include only what the agent should know.- subset names and internal metadata stay out of
context. - Prefer the thinnest wrapper that preserves the benchmark's meaning.
- Actions should describe semantic operations, not protocol artifacts.
- Use
finishonly when it is part of the benchmark contract. - If outputs are not real execution results, say so plainly in the benchmark contract.
- Keep success, unsuccessful completion, unfinished runs, and errors distinct.
Validation
Before finishing, run at least:
python -m py_compileon changed benchmark filespre-commit run --files ...git diff --check
Also run benchmark-specific smoke tests that prove:
- one passing case works
- one failing case is represented correctly
- one real error is surfaced as an error
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.

