Skill Inspector
NVIDIA/SkillSpector
Decides whether an agent skill is safe to install by combining a SkillSpector static scan with the agent's own source review, ending in APPROVE, CAUTION or REJECT.
Opinionated guide for using Primus Projection to choose parallelism (TP/PP/EP/CP/DP) and pipeline schedules, validate memory fit on target nodes, reason about communication collectives, and explore…
$ npx skills add AMD-AGI/Primus --skill primus-projection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AMD-AGI/Primus primus-projection --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/primus-projection .claude/skills/primus-projection && 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 "primus-projection" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/primus-projection into .claude/skills/primus-projection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primus-projection", 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/primus-projectionType 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 primus-projection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AMD-AGI/Primus primus-projection --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/primus-projection .agents/skills/primus-projection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "primus-projection" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/primus-projection into .agents/skills/primus-projection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primus-projection", 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 primus-projection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AMD-AGI/Primus primus-projection --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/primus-projection .cursor/skills/primus-projection && 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 "primus-projection" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/primus-projection into .cursor/skills/primus-projection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primus-projection", 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/primus-projection--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 primus-projection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AMD-AGI/Primus primus-projection --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/primus-projection .gemini/skills/primus-projection && 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 "primus-projection" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/primus-projection into .gemini/skills/primus-projection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primus-projection", 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 primus-projectionInstalls 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 primus-projection -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/primus-projection .github/skills/primus-projection && 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 "primus-projection" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/primus-projection into .github/skills/primus-projection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primus-projection", 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 primus-projection -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 primus-projection --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/primus-projection .opencode/skills/primus-projection && 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 "primus-projection" agent skill from https://github.com/AMD-AGI/Primus/tree/main/skills/primus-projection into .opencode/skills/primus-projection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "primus-projection", 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.
primus-projectionOpinionated guide for using Primus Projection to choose parallelism (TP/PP/EP/CP/DP) and pipeline schedules, validate memory fit on target nodes, reason about communication collectives, and explore…
Primus Projection is an agent skill from AMD-AGI/Primus. Opinionated guide for using Primus Projection to choose parallelism (TP/PP/EP/CP/DP) and pipeline schedules, validate memory fit on target nodes, reason about communication collectives, and explore optimization trade-offs with minimal compute. Use when the user asks how to pick a parallelism strategy or pipeline schedule, whether a model fits in memory, which optimizations such as DeepEP, SyncFree, zero-bubble, FP8, recomputation, or FSDP2 matter most, or how to run primus projection commands. Read-only planning…
Its SKILL.md is about 5.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with NVIDIA AI Platform. The repository describes itself as: A flexible and high-performance training framework designed for large-scale foundation model training on AMD GPUs.
3 steps, taken from the first numbered list 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:
bashFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
rocm.blogs.amd.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Primus Projection loads about 5.3k tokens when it runs. Until then it costs about 147 tokens; SKILL.md has 1,973 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 1,973 words (~5,250 tokens).
“Provide a quick, opinionated guide for using Primus Projection to:”
Just SKILL.md in skills/primus-projection of AMD-AGI/Primus.
Open the folder on GitHubat commit 0f99649
Primus Projection 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 |
|---|---|---|---|---|---|---|
| Primus Projection this skillAMD-AGI/Primus | 131 | — | ~5.3k | Automated safety check: Pass | Custom licence | |
| Skill InspectorNVIDIA/SkillSpector | 20k | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Embeddings via 9Routerdecolua/9router | 30k | — | ~604 | Automated safety check: Pass | MIT | |
| NEAR AI Cloud Private Inferenceinternet-court/internet-court-skill | 6.4k | 2 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Nemoclaw Maintainer Normalize Title TagsNVIDIA/NemoClaw | 23k | — | ~693 | Automated safety check: Pass | Apache-2.0 |
NVIDIA/SkillSpector
Decides whether an agent skill is safe to install by combining a SkillSpector static scan with the agent's own source review, ending in APPROVE, CAUTION or REJECT.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
decolua/9router
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
internet-court/internet-court-skill
Shows how to call NEAR AI Cloud through an OpenAI-compatible API and verify that inference ran in a TEE, using attestation checks and signed chat responses.
NVIDIA/NemoClaw
Remove bracketed NemoClaw tags from GitHub issue and PR titles.
NVIDIA/NemoClaw
Audit and implement a NemoClaw dependency version upgrade, including Hermes and base images.
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
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…
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.
Works with
Opinionated guide for using Primus Projection to choose parallelism (TP/PP/EP/CP/DP) and pipeline schedules, validate memory fit on target nodes, reason about communication collectives, and explore…. Primus Projection is an agent skill from AMD-AGI/Primus. Opinionated guide for using Primus Projection to choose parallelism (TP/PP/EP/CP/DP) and pipeline schedules, validate memory fit on target nodes, reason about communication collectives, and explore optimization trade-offs with minimal compute.
Primus Projection fits situations like: the user asks how to pick a parallelism strategy; pipeline schedule; whether a model fits in memory; which optimizations such as DeepEP.
Run `npx skills add AMD-AGI/Primus --skill primus-projection -a claude-code`. Or copy the skill folder (skills/primus-projection in AMD-AGI/Primus) into .claude/skills/primus-projection in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AMD-AGI/Primus --skill primus-projection -a codex`. Or copy the skill folder (skills/primus-projection in AMD-AGI/Primus) into .agents/skills/primus-projection 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 primus-projection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/primus-projection, .gemini/skills/primus-projection, .github/skills/primus-projection and .opencode/skills/primus-projection in your project.
Going by SKILL.md and its folder, Primus Projection needs the command-line tools its instructions call (bash).
SKILL.md names 1 domain. As links in the text: rocm.blogs.amd.com. 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.
Primus Projection has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 5.3k tokens (SKILL.md is roughly 21k 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 Primus Projection: Skill Inspector (NVIDIA/SkillSpector, 20k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Embeddings via 9Router (decolua/9router, 30k stars) and NEAR AI Cloud Private Inference (internet-court/internet-court-skill, 6.4k 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.