sample-agentic-coding-harness-benchmarks
AGENTS.md20 starsChanged 23 days agoMIT-0View on GitHub
Instructions for terminal coding agents (opencode, etc.) working in this repo. Do not scan, index, or "read the whole repo" to build context before acting. This repo is large (~270 MB, thousands of files) and most of it is not source you should touch. Read a file only when the current task specifically requires it, and prefer targeted reads (a named path) over broad glob/grep/list sweeps across the tree. They are large, generated, or irrelevant to code changes — walking…
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 31,774 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 repository12 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- benchmarkSkill
- onboard-benchmarkSkill
- release-notesSkill
- security-checkSkill
- setup-machineSkill
- swe2Skill
- swe3Skill
- sweSkill
- throughputSkill
- vllm-setupSkill
- writingSkill
The file
We split this AGENTS.md into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 23
When a task is unscoped, the source worth reading lives under:
- Distinctive: line 32
Markdown: do not hard-wrap prose. Write each paragraph as a single line and let the renderer soft-wrap.
- Distinctive: line 37
Never commit directly to
main: Always create a feature branch and open a PR. - Distinctive: line 38
Never merge PRs directly to
main: Use a PR review workflow with an approved merge.
≈ “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
Agent guidelines
Instructions for terminal coding agents (opencode, etc.) working in this repo.
Do not explore proactively
Do not scan, index, or "read the whole repo" to build context before acting. This repo is large (~270 MB, thousands of files) and most of it is not source you should touch. Read a file only when the current task specifically requires it, and prefer targeted reads (a named path) over broad glob/grep/list sweeps across the tree.
Never read or search these paths
They are large, generated, or irrelevant to code changes — walking them wastes context and time:
tmp/— scratch output (~119 MB)benchmarks/swe-benchmark-data/*/repo/and**/swe-benchmark-data/*/repo/— cloned target repos, not this project's sourcebenchmarks/swe-benchmark-data/**— large generated benchmark artifacts; read a specific file only if the task names it.venv/,**/.venv/— Python virtualenvs.git/,.scratchpad/,results/,docs-local/self-hosted/vllm/logs/— server logs (can be huge)*.log,*.pem,*.key,.hf_token— logs and secrets; never read secrets
Where the code actually is
When a task is unscoped, the source worth reading lives under:
self-hosted/vllm/— the vLLM self-hosting path (scripts, model guides, clients)benchmarks/— harness scripts, datasets, runner config, and docsvend/swe-router/— the vendored model-selection skill- top-level
README.mdand each subdirectory'sREADME.md
Conventions
- Markdown: do not hard-wrap prose. Write each paragraph as a single line and let the renderer soft-wrap. Tables, code fences, and lists are unaffected.
- Match the style of surrounding code; keep changes minimal and scoped to the task.
Git rules
- Never commit directly to
main. Always create a feature branch and open a PR. - Never merge PRs directly to
main. Use a PR review workflow with an approved merge.
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.

