NuRec / nurec-onboard
AGENTS.md33 starsChanged 16 days agoApache-2.0View on GitHub
Project-level conventions for autonomous workflow execution. - Always assign container names. - Preserve the resource, GPU, environment, user, and container-side mount flags in the workflow's Docker templates. Substitute only documented placeholders. - Issue each Docker command as a single docker invocation built from literal words. Docker runs on the host rather than in the command sandbox, and that applies only to a command in this shape. A chained, piped, redirected, wildcard-bearing, environment-assignment-prefixed, $(...)-bearing, or $VAR-bearing Docker command loses host execution…
- Deletes or force-pushes
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository10 other files it gives its agents.
- nurec/libs/losses/AGENTS.mdAGENTS.md
- skills/nurec-onboard/CLAUDE.mdCLAUDE.md
- nurec-onboardSkill
- audit-datasetSkill
- build-ncore-converterSkill
- run-nurecSkill
- validate-ncore-dataSkill
- nurecSkill
- physical-ai-av-benchmarkSkill
- physical-ai-datasetsSkill
The file
We split this AGENTS.md into the rules it gives an agent
7 rules. About 0 are common, 1 is distinctive, and 6 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 12
Always assign container names.
- Very specific: line 23
Run long agent-managed containers detached and inspect their state with separate, short-lived docker commands.
- Very specific: line 32
Never use system python or python3 to import NCore.
- Very specific: line 37
Do not use sudo for destructive commands.
- Very specific: line 38
Do not clear directories with variable-plus-glob forms such as rm -rf "$dir"/*.
- Very specific: line 41
Treat ownership recovery requiring sudo chown as an operator action.
- Very specific: line 46
Follow the selected SKILL.md as the operating contract.
≈ “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
<!--
SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: Apache-2.0
-->AGENTS.md
Project-level conventions for autonomous workflow execution.
Docker
- Always assign container names.
- Preserve the resource, GPU, environment, user, and container-side mount flags in the workflow's Docker templates. Substitute only documented placeholders.
- Issue each Docker command as a single
dockerinvocation built from literal words. Docker runs on the host rather than in the command sandbox, and that applies only to a command in this shape. A chained, piped, redirected, wildcard-bearing, environment-assignment-prefixed,$(...)-bearing, or$VAR-bearing Docker command loses host execution and fails as a socket connection error rather than as a policy refusal, so resolve placeholders, uid, gid, and paths in separate commands and write the results in literally.-e VARwith no=valuepasses the value through from the environment. - Run long agent-managed containers detached and inspect their state with
separate, short-lived
dockercommands. Commands presented for an operator to run must stay in the foreground. - Issue Docker commands separately from host filesystem setup, output reads, and cleanup. Docker access is outside the command sandbox's filesystem and network boundaries.
NCore
Never use system python or python3 to import NCore. Run NCore operations
through the Bazel targets specified by the workflow.
Shell safety
- Do not use
sudofor destructive commands. - Do not clear directories with variable-plus-glob forms such as
rm -rf "$dir"/*. Remove a validated, fully qualified directory and recreate it, or usefind "$dir" -mindepth 1 -delete. - Treat ownership recovery requiring
sudo chownas an operator action.
Workflow execution
- Execute workflows autonomously without requesting input.
- Follow the selected
SKILL.mdas the operating contract. - Execute workflow implementation inline. Do not delegate converter creation, validation, reconstruction, or diagnosis to subagents.
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
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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.

