Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Run a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.
$ npx skills add agentlas-ai/Agentlas-OS --skill hep-storm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-storm --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/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/kimi/skills/hep-storm .claude/skills/hep-storm && 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 "hep-storm" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-storm into .claude/skills/hep-storm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-storm", 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/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-stormType 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 agentlas-ai/Agentlas-OS --skill hep-storm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-storm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .agents/skills && cp -r skills-src/kimi/skills/hep-storm .agents/skills/hep-storm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hep-storm" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-storm into .agents/skills/hep-storm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-storm", 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 agentlas-ai/Agentlas-OS --skill hep-storm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-storm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/kimi/skills/hep-storm .cursor/skills/hep-storm && 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 "hep-storm" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-storm into .cursor/skills/hep-storm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-storm", 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/agentlas-ai/Agentlas-OS.git --path kimi/skills/hep-storm--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 agentlas-ai/Agentlas-OS --skill hep-storm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-storm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/kimi/skills/hep-storm .gemini/skills/hep-storm && 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 "hep-storm" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-storm into .gemini/skills/hep-storm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-storm", 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 agentlas-ai/Agentlas-OS hep-stormInstalls 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 agentlas-ai/Agentlas-OS --skill hep-storm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .github/skills && cp -r skills-src/kimi/skills/hep-storm .github/skills/hep-storm && 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 "hep-storm" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-storm into .github/skills/hep-storm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-storm", 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 agentlas-ai/Agentlas-OS --skill hep-storm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentlas-ai/Agentlas-OS hep-storm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentlas-ai/Agentlas-OS.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/kimi/skills/hep-storm .opencode/skills/hep-storm && 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 "hep-storm" agent skill from https://github.com/agentlas-ai/Agentlas-OS/tree/main/kimi/skills/hep-storm into .opencode/skills/hep-storm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hep-storm", 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.
hep-stormRun a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.
Hep Storm is an agent skill from agentlas-ai/Agentlas-OS. Run a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.
Its SKILL.md is about 2.3k 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. The repository describes itself as: Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model. The licence is Apache-2.0.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit dd3cd3a. 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.
No URLs in SKILL.md.
From 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.
Hep Storm loads about 2.3k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 1,073 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 agentlas-ai/Agentlas-OS at commit dd3cd3a, republished under its Apache-2.0 licence (© agentlas-ai). 1,073 words, ~2,283 tokens.
.claude/skills/hep-storm/SKILL.md (or your agent's skills folder).Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Drive a goal through the Stormbreaker Loop — Hephaestus' force-robust,
verifier-first execution loop — inside this workspace. Unlike a
one-shot answer or a generic parallel fan-out, Stormbreaker routes the goal to
real Agentlas specialists, structures the work as a dependency-ordered pipeline
fabric, drives each work packet as a hardened goal loop (it does not stall,
run away, or claim false success), and refuses to report success without
evidence. Also triggered by @Hephaestus storm <goal>.
Use it for loop-worthy work: apps, sites, agents, automations, debugging, multi-step research, data/report generation — anything with files, tools, tests, or external verification. Trivial questions should be answered directly, not stormed.
Every result includes execution_harness. Apply
execution_harness.system_prompt verbatim before planning or executing packets,
retain its prompt_sha256, and never redefine Goal mode or UltraCode mode in
this adapter. Pass live session JSON with AGENTLAS_SESSION_INVENTORY when the
host provides it; otherwise use Core's explicit host:primary fallback.
The goal is the exact text the user typed after /hep-storm.
Run the shell block below verbatim, replacing only the GOAL value with the
user's exact goal text. The block resolves the Hephaestus runner by absolute
path and runs it — there is nothing to install and nothing to add to PATH.
In an agentic runtime you are the executor: the engine gives you the verified
plan (the execution fabric); you carry it out with your own tools.
Guardrails — do NOT do any of these. They are not how this workflow works and have caused fabricated reports before:
- Do NOT diagnose
command not foundorPATH, and do NOT edit~/.zshrc. The runner is resolved by absolute path inside the block.- Do NOT claim a packet, gate, or external action succeeded without the verifier's evidence. A materialized or scheduled run is not proof.
- If the runner is genuinely missing, say so and stop. Never fabricate a fix or a run.
GOAL="<replace with the exact text the user typed after /hep-storm>"
case "$GOAL" in
"<replace"*) echo "GOAL placeholder not filled — substitute the user's goal first." >&2; exit 2 ;;
esac
RUNNER=""
for candidate in \
"$HOME/.agentlas/runtime/current/bin/hephaestus" \
"./bin/hephaestus"
do
if [ -n "$candidate" ] && [ -x "$candidate" ]; then RUNNER="$candidate"; break; fi
done
if [ -z "$RUNNER" ]; then
for cache in "$HOME/.claude/plugins/cache/agentlas-core-engine/hephaestus" \
"${CODEX_HOME:-$HOME/.codex}/plugins/cache/agentlas-core-engine/hephaestus"; do
newest="$(ls -d "$cache"/*/bin/hephaestus 2>/dev/null | sort -V | tail -1)"
if [ -n "$newest" ] && [ -x "$newest" ]; then RUNNER="$newest"; break; fi
done
fi
[ -n "$RUNNER" ] || { echo "Hephaestus runtime not found. Run the installer first." >&2; exit 1; }
if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
"$RUNNER" auth ensure >/dev/null 2>&1 || true
fi
# Route + materialize the pipeline fabric for THIS goal. No --executor-command:
# the host model (you) executes each packet natively. --research-evidence grounds
# plan/research packets with Research Engine receipts.
FABRIC="$("$RUNNER" hep-storm "$GOAL" --research-evidence --runtime "${AGENTLAS_HOST_RUNTIME:-terminal}")"
printf '%s\n' "$FABRIC"Read route_decision.action (or route_action) and branch — Stormbreaker only
auto-materializes a full fabric for a pipeline; other actions still start a
storm, just with the workforce the router chose:
action: "pipeline" — the result carries the execution_fabric (packets,
parallel_groups, sessions, resume_policy), per-packet write_scope and
goal/verifier, a pipeline_id, a journal path, and final_gate criteria.
Run the full loop in "Run the Stormbreaker Loop" below.action: "clarify" — the goal is ambiguous. Ask clarify_question with the
candidate list as ONE batch, then re-run the block with the refined goal. This
is the scope-lock ambiguity gate; do not guess past it.action: "route" (single card) — a one-agent storm: borrow and run that card
attached to this project, then still apply the verify → repair → final-gate
steps.action: "hub_fallback" / "hub_candidates" — Hub lookup used redacted
keywords only. If an execution block lists recommended_agents, borrow each
in stage order via "$RUNNER" hep-call "<agent>" "<goal>" --project . and run
them attached to this repo; otherwise report candidates and offer /hep-build.action: "propose_new" — no fit exists; offer to build one via /hep-build.action: "refuse" — explain reasons (e.g. loop guard) and stop. Do not retry
around it.Execute the goal to completion under this protocol. Do not stop to ask for confirmation — this is a force-robust run. Only halt when the goal is verified, or you are genuinely blocked by auth, payment, policy, a missing secret/tool, or a required user approval.
parallel_groups and depends_on ordering
as the plan. Open a visible goal ledger: packet, owner, verification gate,
status, resume point.card names
an Agentlas specialist, borrow and run it attached to this project via
"$RUNNER" hep-call "<card>" "<goal>" --project . rather than role-playing it.
Write artifacts to each packet's write_scope.loop.goal_command exiting 0 may end the goal loop, but it
cannot verify the executor's own output or self-attest success. Require an
independent verifier and hash-validated artifact evidence. "It ran" is never
success.stalled after consecutive no-progress
iterations, and never exceed its iteration ceiling. A resumed run continues
from the journal, it does not restart.can_report_success). Run the evidence/security gate on produced artifacts.Keep visible progress concise: what was attempted, what was verified, and exactly where to resume if blocked. Never expose hidden reasoning — show progress, evidence, decisions, and final status only.
stalled instead of spinning.reached_goal only
when the verifier proves it. No bare "it ran" ever counts.receipt_id, pipeline_id, and journal path in your final message
so the run is auditable and resumable./hep-storm ship a working waitlist landing page with a verified signup flow
/hep-storm 이 리포 결제 버그를 재현 PoC까지 만들어서 고치고 회귀 테스트로 검증해줘
@Hephaestus storm turn this research question into a cited report with evidenceUpdate fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요.
업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
© agentlas-ai, 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 kimi/skills/hep-storm of agentlas-ai/Agentlas-OS.
Open the folder on GitHubat commit dd3cd3a
Hep Storm 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 |
|---|---|---|---|---|---|---|
| Hep Storm this skillagentlas-ai/Agentlas-OS | 1.6k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
agentlas-ai/Agentlas-OS
A skill your agent uses when an agent folder must pass the Agentlas Cloud 2-stage security scan (static rules + BYOK LLM judgment) before private sync or public publish, or when asked to…
agentlas-ai/Agentlas-OS
A skill your agent uses when the user types /prompts:hep-build or /agentlas-build, mentions @Hephaestus for build work, asks to create a single Agentlas agent, create a multi-agent team, or package…
agentlas-ai/Agentlas-OS
A skill your agent uses when the user types /hep-graph or asks to create, list, inspect, or request a run of an Agentlas automation graph.
agentlas-ai/Agentlas-OS
A skill your agent uses when the user types $hephaestus-upload, /hep-upload, or /agentlas-upload, or asks to upload, publish, or list an Agentlas agent or team.
agentlas-ai/Agentlas-OS
A skill your agent uses whenever a build emits or repairs .agentlas/routing-card.json — the shared card contract for the single-agent builder, the team builder, and the packager.
agentlas-ai/Agentlas-OS
A skill your agent uses when generating or auditing a multi-role agent team package with orchestrator, PM Soul, Memory Curator, Policy Gate, workers, eval, QA, handoffs, and runtime adapters.
Categories
Run a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion. Hep Storm is an agent skill from agentlas-ai/Agentlas-OS. Run a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.
Hep Storm fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-storm -a claude-code`. Or copy the skill folder (kimi/skills/hep-storm in agentlas-ai/Agentlas-OS) into .claude/skills/hep-storm in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentlas-ai/Agentlas-OS --skill hep-storm -a codex`. Or copy the skill folder (kimi/skills/hep-storm in agentlas-ai/Agentlas-OS) into .agents/skills/hep-storm 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 agentlas-ai/Agentlas-OS --skill hep-storm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hep-storm, .gemini/skills/hep-storm, .github/skills/hep-storm and .opencode/skills/hep-storm in your project.
SKILL.md names no scripts, command-line tools or credentials: Hep Storm is instructions for the agent only.
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.
Hep Storm 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 2.3k tokens (SKILL.md is roughly 9.1k 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 Hep Storm: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentlas-ai (a GitHub organization) maintains it in agentlas-ai/Agentlas-OS, which has 1,575 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on October 10, 2026.
Source: agentlas-ai/Agentlas-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.