Hermes Agent Skill Authoring
NousResearch/hermes-agent
Author in-repo SKILL.md files: frontmatter and structure. An agent skill from NousResearch/hermes-agent.
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…
MITAuto-check passed
Install Agent Lightning
$ npx skills add VectorSpaceLab/AREX-Skill --skill agent-lightning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agent-lightning --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/agent-lightning .claude/skills/agent-lightning && 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 "agent-lightning" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-lightning into .claude/skills/agent-lightning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-lightning", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-lightningType 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 VectorSpaceLab/AREX-Skill --skill agent-lightning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agent-lightning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/agent-lightning .agents/skills/agent-lightning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-lightning" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-lightning into .agents/skills/agent-lightning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-lightning", 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 VectorSpaceLab/AREX-Skill --skill agent-lightning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agent-lightning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/agent-lightning .cursor/skills/agent-lightning && 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 "agent-lightning" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-lightning into .cursor/skills/agent-lightning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-lightning", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/agent-lightning--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 VectorSpaceLab/AREX-Skill --skill agent-lightning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agent-lightning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/agent-lightning .gemini/skills/agent-lightning && 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 "agent-lightning" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-lightning into .gemini/skills/agent-lightning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-lightning", 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 VectorSpaceLab/AREX-Skill agent-lightningInstalls 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 VectorSpaceLab/AREX-Skill --skill agent-lightning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/agent-lightning .github/skills/agent-lightning && 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 "agent-lightning" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-lightning into .github/skills/agent-lightning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-lightning", 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 VectorSpaceLab/AREX-Skill --skill agent-lightning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill agent-lightning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/agent-lightning .opencode/skills/agent-lightning && 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 "agent-lightning" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/agent-lightning into .opencode/skills/agent-lightning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-lightning", 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.
Facts
- Skill name
agent-lightning- GitHub stars
- 328
- Token cost
- ~1.4k tokens
- SKILL.md length
- 508 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- MIT
At a glance
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…
- Works in 4 steps: Identify the user's workflow and route… → If the user is using a different… → For install or import trouble, run or… → …
- SKILL.md covers First steps for any task, Route map, Installation orientation and Core public objects to recognize, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Agent Lightning is an agent skill from VectorSpaceLab/AREX-Skill. Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and troubleshooting optional backends.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/compatibility.md`, `references/repo-provenance.md` and `references/repo-routing-metadata.json`).
The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is MIT.
Example prompts
- “/agent-lightning”
Requirements
- Python 3
- Docker
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Identify the user's workflow and route to the nearest sub-skill below.
- If the user is using a different checkout or package version, read repo provenance before relying on version-sensitive details.
- For install or import trouble, run or adapt scripts/check_agentlightning_install.py and read compatibility plus cross-cutting…
- Treat GPU, MongoDB, cloud API, W&B/Tinker, Docker/SWE-bench, and dashboard workflows as optional unless the user explicitly provides those…
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agent Lightning loads about 1.4k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 508 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its MIT licence (© VectorSpaceLab). 508 words, ~1,414 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-lightning/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- agent-lightning
- description
- Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and troubleshooting optional backends.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- MIT
Agent Lightning Repo Skill
Use this skill when a user asks for help with Agent Lightning (agentlightning): writing trainable agents, collecting spans and rewards, coordinating runners/stores/trainers/algorithms, using agl services, selecting example recipes, or diagnosing package/backend issues.
Agent Lightning's core loop is: a runner executes a LitAgent, a tracer emits spans into a LightningStore, algorithms read those traces and update resources, and Trainer wires those components together.
First steps for any task
- Identify the user's workflow and route to the nearest sub-skill below.
- If the user is using a different checkout or package version, read repo provenance before relying on version-sensitive details.
- For install or import trouble, run or adapt scripts/check_agentlightning_install.py and read compatibility plus cross-cutting troubleshooting.
- Treat GPU, MongoDB, cloud API, W&B/Tinker, Docker/SWE-bench, and dashboard workflows as optional unless the user explicitly provides those resources.
Route map
| User intent | Use this sub-skill | What it contains |
|---|---|---|
Write or wrap an agent, fix @rollout signatures, use PromptTemplate or LLM, debug one rollout | agent-authoring | Agent function/class patterns, resource injection, return contracts, runner single-step smoke |
| Emit rewards/messages/objects, inspect spans, adapt traces to messages/triplets, debug missing token IDs | tracing-and-instrumentation | OtelTracer, AgentOpsTracer, emitters, operation, adapters, trace troubleshooting |
Operate LightningStore, runners, algorithms, Trainer.fit, Trainer.dev, status/retry behavior | runner-store-training | Store API, rollout/attempt lifecycle, resources, custom algorithms, training loop recipes |
Use agl CLI, store/prometheus services, LLM proxy, vLLM bridge, endpoint checks, metrics | cli-and-services | Help-confirmed CLI flags, service launch patterns, safe LiteLLM/OpenAI-compatible checks |
| Choose or adapt examples such as APO, SQL, RAG, ChartQA, Unsloth, Azure, Claude Code, Tinker | examples-and-recipes | Example/backend catalog, optional dependency matrix, maintainer example rules |
Installation orientation
General use:
python -m pip install --upgrade agentlightning
python - <<'PY'
import agentlightning as agl
print(agl.__version__)
print(type(agl.InMemoryLightningStore()).__name__)
PYFor source development, use the repository's uv workflow and choose only the optional groups needed for the task. CPU-only work can inspect and run base package APIs without CUDA. APO requires the apo extra (poml) plus an OpenAI-compatible endpoint for full examples. VERL/vLLM/Unsloth/vision/RAG examples require larger dependency groups and usually CUDA-compatible hardware.
Show full SKILL.md (192 more words)Show less
Core public objects to recognize
- Agent authoring:
rollout,llm_rollout,prompt_rollout,LitAgent,PromptTemplate,LLM,ProxyLLM,NamedResources. - Execution:
LitAgentRunner,Runner,Hook,Trainer,Algorithm,FastAlgorithm,Baseline,algo. - Store/control plane:
LightningStore,InMemoryLightningStore,LightningStoreClient,LightningStoreServer,LightningStoreThreaded,RolloutConfig. - Tracing:
OtelTracer,AgentOpsTracer,DummyTracer,emit_reward,emit_message,emit_object,emit_exception,operation,find_final_reward,TracerTraceToTriplet,LlmProxyTraceToTriplet,TraceToMessages. - Services:
agl,LLMProxy,ProxyLLM, metrics backends, OpenAI-compatible endpoint patterns.
Fast validation
Use this when a user asks whether the installed package is basically usable:
python scripts/check_agentlightning_install.pyFor deeper workflow checks, run the nearest sub-skill smoke script:
- Agent authoring:
python sub-skills/agent-authoring/scripts/agent_rollout_smoke.py - Tracing:
python sub-skills/tracing-and-instrumentation/scripts/local_trace_smoke.py - Store/training control plane:
python sub-skills/runner-store-training/scripts/store_status_smoke.py - Services:
python sub-skills/cli-and-services/scripts/check_litellm_proxy.py --helporpython sub-skills/cli-and-services/scripts/check_prometheus_metrics.py --duration 1 --host 127.0.0.1
Run scripts from the generated skill directory or pass explicit paths/URLs where the script supports them. The scripts are safe by default: they do not train models, download data, mutate Docker/Mongo/Ray, or print secrets.
Known limits
This skill was verified for CPU-compatible package import, CLI help, and in-memory store/runner/tracing smokes. It preserves guidance for optional GPU/cloud/service workflows but does not claim those backends were available or verified. When a user requests optional workflows, first confirm or detect the required hardware, credentials, endpoints, datasets, and dependency groups before running expensive commands.
© VectorSpaceLab, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/agent-lightning of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/compatibility.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/troubleshooting.md
- scripts/check_agentlightning_install.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Agent Lightning 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 |
|---|---|---|---|---|---|---|
| Agent Lightning this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Hermes Agent Skill AuthoringNousResearch/hermes-agent | 252k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Configuring Oauth2 Authorization Flowmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Authoring Skillsvercel/next.js | 143k | — | ~1k | Automated safety check: Pass | MIT | |
| Abp Authorizationabpframework/abp | 14k | — | ~1.3k | Automated safety check: Pass | LGPL-3.0 | |
| Implementing GCP Binary Authorizationmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Agent Lightning
What does Agent Lightning do?
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…. Agent Lightning is an agent skill from VectorSpaceLab/AREX-Skill. Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and troubleshooting optional backends.
How do I install Agent Lightning in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill agent-lightning -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/agent-lightning in VectorSpaceLab/AREX-Skill) into .claude/skills/agent-lightning in your project. Claude Code loads it when a task matches its description.
How do I install Agent Lightning in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill agent-lightning -a codex`. Or copy the skill folder (skills/repositories/repo-skills/agent-lightning in VectorSpaceLab/AREX-Skill) into .agents/skills/agent-lightning in your project. Codex loads it when a task matches its description.
Can I use Agent Lightning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill agent-lightning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-lightning, .gemini/skills/agent-lightning, .github/skills/agent-lightning and .opencode/skills/agent-lightning in your project.
What does Agent Lightning need to run?
Going by SKILL.md and its folder, Agent Lightning needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Docker.
Does Agent Lightning access the network?
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.
Is Agent Lightning safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Agent Lightning use?
Agent Lightning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Lightning use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Agent Lightning?
Skills that share tags, products or a category with Agent Lightning: Hermes Agent Skill Authoring (NousResearch/hermes-agent, 252k stars), Configuring Oauth2 Authorization Flow (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Authoring Skills (vercel/next.js, 143k stars) and Abp Authorization (abpframework/abp, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Lightning?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.