Generate Openenv Env
adithya-s-k/FineEnvs
Builds an OpenEnv (Hugging Face) variant of an RL environment.
Run, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test…
$ npx skills add AMD-AGI/Primus --skill convergence-test -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AMD-AGI/Primus convergence-test --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/convergence-test .claude/skills/convergence-test && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "convergence-test" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/convergence-test into .claude/skills/convergence-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convergence-test", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AMD-AGI/Primus/tree/main/skills/convergence-testType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AMD-AGI/Primus --skill convergence-test -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AMD-AGI/Primus convergence-test --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/convergence-test .agents/skills/convergence-test && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "convergence-test" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/convergence-test into .agents/skills/convergence-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convergence-test", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AMD-AGI/Primus --skill convergence-test -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AMD-AGI/Primus convergence-test --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/convergence-test .cursor/skills/convergence-test && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "convergence-test" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/convergence-test into .cursor/skills/convergence-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convergence-test", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AMD-AGI/Primus.git --path skills/convergence-test--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AMD-AGI/Primus --skill convergence-test -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AMD-AGI/Primus convergence-test --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/convergence-test .gemini/skills/convergence-test && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "convergence-test" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/convergence-test into .gemini/skills/convergence-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convergence-test", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AMD-AGI/Primus convergence-testInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AMD-AGI/Primus --skill convergence-test -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/convergence-test .github/skills/convergence-test && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "convergence-test" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/convergence-test into .github/skills/convergence-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convergence-test", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AMD-AGI/Primus --skill convergence-test -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AMD-AGI/Primus convergence-test --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AMD-AGI/Primus.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/convergence-test .opencode/skills/convergence-test && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "convergence-test" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/convergence-test into .opencode/skills/convergence-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convergence-test", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
convergence-testRun, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test…
Convergence Test is an agent skill from AMD-AGI/Primus. Run, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test for llama2 7B fp8 on c4 with image rocm/primus:v26.7". Covers Megatron and MaxText, bundled recipes or configs generated from the model's example config, Hugging Face or local datasets, docker images, time budgets, baselines and result locations. Use when the user asks to run, start, check, stop or compare a…
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).
It sits in AI & LLM Engineering, covering Model hubs and datasets, Plain language and style rules and Containers. It works with NVIDIA AI Platform, Docker and Hugging Face. The repository describes itself as: A flexible and high-performance training framework designed for large-scale foundation model training on AMD GPUs.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0f99649. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
HF_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Convergence Test loads about 2.1k tokens when it runs. Until then it costs about 160 tokens; SKILL.md has 1,156 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,156 words (~2,097 tokens).
“The user names a model and, optionally, a dataset, a docker image and a few other things; you plan the run with a script, launch it in the background, keep an eye on it, and report the verdict. The tool…”
SKILL.md and 1 other file in skills/convergence-test of AMD-AGI/Primus.
Open the folder on GitHubat commit 0f99649
Convergence Test next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Convergence Test this skillAMD-AGI/Primus | 131 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Generate Openenv Envadithya-s-k/FineEnvs | 443 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Vllm Deploy Dockervllm-project/vllm-skills | 103 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Tao Port Huggingface ModelNVIDIA/skills | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | |
| Runpodericrisco/rsc-harness | 167 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Nemo Evaluator SDKOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~3.1k | Automated safety check: Pass | MIT |
adithya-s-k/FineEnvs
Builds an OpenEnv (Hugging Face) variant of an RL environment.
vllm-project/vllm-skills
Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.
NVIDIA/skills
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).
ericrisco/rsc-harness
A skill your agent uses when running GPU compute on RunPod and deciding between Pods (hourly, always-on) and Serverless (per-second, autoscaling) for training, fine-tuning or inference — serverless…
Orchestra-Research/AI-Research-SKILLs
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution.
Vincentqyw/image-matching-webui
Releases a new imcui version on GitHub, then deploys it to a test and a production Hugging Face Space from a dedicated huggingface branch.
AMD-AGI/Primus
Inspect the current Spur (AMD SLURM-compatible) cluster node-allocation state and produce a Markdown report (optionally rendered to a standalone HTML page) covering the caller's account/QoS…
AMD-AGI/Primus
Compare a Primus backend against an upstream repository or reference, verify git state, dependencies, directory changes, and integration coupling, then generate comparison reports, dashboard…
AMD-AGI/Primus
Inventory and explain the patch (monkey-patch) optimizations Primus layers over upstream training backends such as Megatron-LM, TorchTitan, and MaxText, including their version compatibility…
AMD-AGI/Primus
Update the Primus documentation for a monthly training-image release — bump version references, realign the bare-metal install scripts with the release Dockerfiles, record the published image stacks…
AMD-AGI/Primus
Validate SLURM cluster nodes by running actual training jobs in groups.
AMD-AGI/Primus
Generate a validation plan and test scaffolding to check a Primus optimization that has been ported into a user's own training framework, across correctness (numerical accuracy vs a reference)…
Works with
Run, monitor, stop and report Primus convergence tests -- training a model on a real corpus and checking that the loss curve is healthy -- from a plain-language request such as "run convergence test…. Convergence Test is an agent skill from AMD-AGI/Primus.7".
Convergence Test fits situations like: the user asks to run; compare a convergence test; accuracy regression run; asks whether a model.
Run `npx skills add AMD-AGI/Primus --skill convergence-test -a claude-code`. Or copy the skill folder (skills/convergence-test in AMD-AGI/Primus) into .claude/skills/convergence-test in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AMD-AGI/Primus --skill convergence-test -a codex`. Or copy the skill folder (skills/convergence-test in AMD-AGI/Primus) into .agents/skills/convergence-test in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AMD-AGI/Primus --skill convergence-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convergence-test, .gemini/skills/convergence-test, .github/skills/convergence-test and .opencode/skills/convergence-test in your project.
Going by SKILL.md and its folder, Convergence Test needs the command-line tools its instructions call (python3) and credentials named HF_TOKEN. Our summary lists: Python 3; Docker.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Convergence Test has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Convergence Test: Generate Openenv Env (adithya-s-k/FineEnvs, 443 stars), Vllm Deploy Docker (vllm-project/vllm-skills, 103 stars), Tao Port Huggingface Model (NVIDIA/skills, 3.5k stars) and Runpod (ericrisco/rsc-harness, 167 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
AMD-AGI (a GitHub organization) maintains it in AMD-AGI/Primus, which has 131 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.
Source: AMD-AGI/Primus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.