Dev Bump
Netis/heron
Bump Heron version via the VERSION-file SSOT. An agent skill from Netis/heron.
Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM.
$ npx skills add NVIDIA/OpenShell --skill debug-inference -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/OpenShell debug-inference --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/NVIDIA/OpenShell.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/debug-inference .claude/skills/debug-inference && 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 "debug-inference" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/skills/debug-inference into .claude/skills/debug-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-inference", 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/NVIDIA/OpenShell/tree/main/skills/debug-inferenceType 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 NVIDIA/OpenShell --skill debug-inference -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/OpenShell debug-inference --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/debug-inference .agents/skills/debug-inference && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "debug-inference" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/skills/debug-inference into .agents/skills/debug-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-inference", 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 NVIDIA/OpenShell --skill debug-inference -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/OpenShell debug-inference --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/debug-inference .cursor/skills/debug-inference && 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 "debug-inference" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/skills/debug-inference into .cursor/skills/debug-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-inference", 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/NVIDIA/OpenShell.git --path skills/debug-inference--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 NVIDIA/OpenShell --skill debug-inference -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/OpenShell debug-inference --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/debug-inference .gemini/skills/debug-inference && 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 "debug-inference" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/skills/debug-inference into .gemini/skills/debug-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-inference", 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 NVIDIA/OpenShell debug-inferenceInstalls 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 NVIDIA/OpenShell --skill debug-inference -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/debug-inference .github/skills/debug-inference && 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 "debug-inference" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/skills/debug-inference into .github/skills/debug-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-inference", 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 NVIDIA/OpenShell --skill debug-inference -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/OpenShell debug-inference --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/OpenShell.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/debug-inference .opencode/skills/debug-inference && 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 "debug-inference" agent skill from https://github.com/NVIDIA/OpenShell/tree/main/skills/debug-inference into .opencode/skills/debug-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-inference", 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.
debug-inferenceDebug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM.
Debug Inference is an agent skill from NVIDIA/OpenShell, published by the product's own GitHub organization. Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM. Use for provider attachment, endpoint policy, credential substitution, topology, and migration from the removed managed inference endpoint. Trigger keywords - debug inference, managed inference endpoint, local inference, ollama, lm studio, vllm, sglang, trtllm, NIM, inference failing, model server unreachable, credentialendpointmismatch…
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM inference and serving. It works with Ollama, SGLang and vLLM. The repository describes itself as: OpenShell is the safe, private runtime for autonomous AI agents. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 834b79a. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.nvidia.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.
Debug Inference loads about 1.9k tokens when it runs. Until then it costs about 137 tokens; SKILL.md has 848 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.
The full file from NVIDIA/OpenShell at commit 834b79a, republished under its Apache-2.0 licence (© NVIDIA). 848 words, ~1,881 tokens.
.claude/skills/debug-inference/SKILL.md (or your agent's skills folder).Diagnose inference as ordinary provider-authorized network traffic. OpenShell no longer supplies a managed inference route, rewrites request shapes, or selects a model. The application calls the provider's native endpoint and owns its base URL, model, request format, and timeout.
Use installed openshell --help output as the authority for command syntax.
Refer to the published provider management guide
and provider profile guide
for current behavior.
openshell status
openshell gateway info
openshell sandbox get <sandbox>For a host-local model server, host.openshell.internal identifies the machine
running the gateway. It does not identify the operator's laptop when the gateway
is remote. A server listening only on 127.0.0.1 may also be unreachable from a
container; bind it to an address reachable from the gateway runtime.
openshell provider get <provider>
openshell profile export <profile-id> -o yamlCheck that the profile:
For a custom or self-hosted OpenAI-compatible endpoint, import an endpoint-bearing profile. A base URL stored only in provider configuration does not authorize a new endpoint.
openshell profile lint -f ./provider-profile.yaml
openshell profile import -f ./provider-profile.yaml
openshell provider create --name <provider> --type <profile-id>Add the required --credential KEY or --credential KEY=VALUE arguments shown
by the profile. Never broaden endpoint policy merely to silence a credential
binding error.
openshell sandbox provider list <sandbox>
openshell sandbox provider attach <sandbox> <provider> --wait --timeout 30Save the change's receipt_id and use openshell sandbox provider status <sandbox> <provider> --receipt <receipt-id> --wait --timeout 30 to check when it takes effect. Success confirms that the sandbox applied the credentials, policy, and environment for new processes. If the result is pending, failed, withheld, or superseded, inspect its reason before launching the client.
Launch the client after the attachment wait succeeds so it receives the updated environment:
openshell sandbox exec <sandbox> -- <client-command>After updating an ordinary static provider, wait for that change and launch a new client. An existing process keeps its revision-scoped reference; readiness does not make the old reference resolve the replacement value. Diagnose managed-refresh credentials according to their own lifecycle.
Keep credentials and issued references out of diagnostic output. Acknowledged detach revokes future credential resolution and removes the reference from future process environments. Requests already forwarded may still finish:
openshell sandbox provider detach <sandbox> <provider> --wait --timeout 30The application must use the real upstream contract:
Probe the exact endpoint from a newly launched sandbox process. Start with a non-secret discovery endpoint when the provider offers one, then send a minimal inference request using the provider's documented API shape.
| Symptom | Likely cause | Fix |
|---|---|---|
credential_placeholder_in_request_body | A body reference is invalid/revoked, or classification metadata is unavailable | Check the controlled denial reason; remove the reference from conversation history or restore provider access. Do not enable body credential rewriting or bypass flags to send tool output. Unknown literals and valid issued placeholders pass unchanged, including the model provider’s own placeholder. Header resolution does not enable body rewriting. |
| A retired managed endpoint fails DNS resolution | Client still uses the removed managed endpoint | Configure the provider's native base URL and attach an endpoint-bearing provider profile |
| Direct request is denied | Missing attachment, endpoint policy, HTTP rule, or binary authorization | Inspect the attached provider profile and sandbox effective policy |
credential_endpoint_mismatch | Credential profile does not authorize the request recipient | Correct the host/port/path or import a narrowly scoped profile for the intended endpoint |
request_authority_mismatch | HTTP authority differs from the CONNECT destination | Use the same host and effective port in both authorities |
| Credential variable is absent | Provider was not attached when this process launched, or profiles collide on a key | Attach the provider and launch a new process; resolve duplicate keys explicitly |
| Upstream rejects the model or body | Client relied on removed model/request rewriting | Configure the real model and provider-native request format in the application |
127.0.0.1 works on the host but not in the sandbox | Loopback refers to different runtime | Use host.openshell.internal or another gateway-reachable endpoint and profile |
| Host-local request times out | Server bind address, gateway topology, or host firewall blocks container-to-host traffic | Verify the listener and permit only the required gateway network path and port |
For Ollama, LM Studio, vLLM, SGLang, TRT-LLM, and local NIM deployments:
host.openshell.internal and the actual port.Report:
© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/debug-inference of NVIDIA/OpenShell.
Open the folder on GitHubat commit 834b79a
Debug Inference 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 |
|---|---|---|---|---|---|---|
| Debug Inference this skillNVIDIA/OpenShell | 15k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Dev BumpNetis/heron | 102 | — | ~983 | Automated safety check: Pass | Apache-2.0 | |
| Source Command Dev Docs SyncNetis/heron | 102 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Agentsop LLM Engine Selectionagentsope/SkillAlchemy | 457 | — | ~6.1k | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Aider DelegateamElnagdy/delegate-skills | 2.3k | 2 repos | ~3k | Automated safety check: Pass | MIT |
Netis/heron
Bump Heron version via the VERSION-file SSOT. An agent skill from Netis/heron.
Netis/heron
Sync documentation with project state using ICAV workflow. An agent skill from Netis/heron.
agentsope/SkillAlchemy
Cross-engine decision rubric for self-hosting or recommending an LLM serving stack.
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
amElnagdy/delegate-skills
Delegate a coding task to Aider (aider) as a background implementer, then review its diff and land it yourself.
dstackai/dstack
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.
NVIDIA/OpenShell
Maintain and validate OpenShell's build-only Windows MSVC lane for x64 and ARM64.
NVIDIA/OpenShell
Create GitHub issues using the gh CLI. An agent skill from NVIDIA/OpenShell.
NVIDIA/OpenShell
Create GitHub pull requests using the gh CLI. An agent skill from NVIDIA/OpenShell.
NVIDIA/OpenShell
Debug why an OpenShell gateway deployment is unhealthy, unreachable, or unable to create sandboxes.
NVIDIA/OpenShell
Validate and monitor OpenShell GitHub issues and PRs using the gator: state machine.
NVIDIA/OpenShell
Start up, tear down, and configure the local Kubernetes development environment for OpenShell.
Categories
Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM. Debug Inference is an agent skill from NVIDIA/OpenShell, published by the product's own GitHub organization. Debug inference clients that use an attached provider and its native endpoint, including hosted APIs and host-local Ollama, vLLM, SGLang, TRT-LLM, LM Studio, or NIM.
Debug Inference fits situations like: provider attachment; endpoint policy; credential substitution; migration from the removed managed inference endpoint.
Run `npx skills add NVIDIA/OpenShell --skill debug-inference -a claude-code`. Or copy the skill folder (skills/debug-inference in NVIDIA/OpenShell) into .claude/skills/debug-inference in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/OpenShell --skill debug-inference -a codex`. Or copy the skill folder (skills/debug-inference in NVIDIA/OpenShell) into .agents/skills/debug-inference 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 NVIDIA/OpenShell --skill debug-inference -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/debug-inference, .gemini/skills/debug-inference, .github/skills/debug-inference and .opencode/skills/debug-inference in your project.
SKILL.md names no scripts, command-line tools or credentials: Debug Inference is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: docs.nvidia.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.
Debug Inference is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.5k 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 Debug Inference: Dev Bump (Netis/heron, 102 stars), Source Command Dev Docs Sync (Netis/heron, 102 stars), Agentsop LLM Engine Selection (agentsope/SkillAlchemy, 457 stars) and SageMaker Serving Image Selection (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/OpenShell, which has 15,188 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/OpenShell on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.