hephaestus-cloud
Use when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only.
Skill by agentlas-ai
Chalk Labs
Need help deploying hephaestus-cloud?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/agentlas-ai-hephaestus-cloud
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/hephaestus-cloud
What's inside
- Skill name
hephaestus-cloud- Description
- Use when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only. Cloud is one exact source scope; Network means Local + owner Cloud + public Hub.
- License
- Apache-2.0
- Instructions
- 113 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Hephaestus Cloud Routing (my own cloud / 보관함)
Route the request through the signed-in user's OWN Agentlas cloud packages only.
The active host LLM remains the staffing decision-maker; Cloud supplies a
content menu and exact BYOM releases.
## 0. Scope rule
`/hep-cloud` is owner-scoped: it queries ONLY the authenticated owner's
own cloud packages (보관함) through Core's typed `sourceScope: "cloud"`. It does **not**
search the public marketplace and does **not** search local private/plugin
cards.
- The user's own Cloud packages are restorable/owned by them. Entitlement,
lease, and charged credits are server-authoritative; do not hard-code a price.
- For the public marketplace only, use `/hep-hub` (`sourceScope: "hub"`).
- For the combined Local + own Cloud + public Hub menu, use `/hep-network`
(`sourceScope: "network"`).
Each unpinned Cloud discovery goes to the owner-scoped source for its current
menu; a successful client cache entry must not hide a newly published,
replaced, or removed package. Once the host validates and prepares a choice,
the exact Cloud release remains pinned for that execution.
## 1. Resolve the runner
Run this resolution in a shell and use the first hit:
```bash
RUNNER=""
for c in \
"$HOME/.agentlas/runtime/current/bin/hephaestus" \
./bin/hephaestus
do [ -x "$c" ] && RUNNER="$c" && break; done
if [ -z "$RUNNER" ]; then
for cache in \
"$HOME/.claude/plugins/cache/agentlas-core-engine/hephaestus" \
"$HOME/.codex/plugins/cache/agentlas-core-engine/hephaestus"; do
newest="$(ls -d "$cache"/*/bin/hephaestus 2>/dev/null | sort -V | tail -1)"
[ -n "$newest" ] && [ -x "$newest" ] && RUNNER="$newest" && break
done
fi
```
If no runner exists, tell the user to run the one-touch installer:
`curl -fsSL https://raw.githubusercontent.com/agentlas-ai/Agentlas-OS/main/scripts/install-all-runtimes.sh | bash`
If shell execution is unavailable but the local `hephaestus-network` MCP is
available, use the typed Workforce sequence in section 3. If that server cannot
advertise owner-Cloud search plus exact bundle fetch, report
`source_not_supported`; never fall back to the legacy cargo search path.
## 1.5 Core project first-contact contract
The `cloud ... --project .` call below is a trusted plugin contact. Agentlas
Core must synchronously create or repair the same private project soul memory,
code map, ontology runtime, CareerGraph, and full `.agentlas/` ignore block used
by every other host. If bootstrap is blocked, stop rather than querying Cloud
without the project architecture. The adapter never owns a second seed format.
## 2. Agentlas sign-in (required)
The owner cloud is sign-in-gated. Before routing, ensure Agentlas is signed in:
```bash
if [ "${HEPHAESTUS_AUTH_AUTOPOPUP:-1}" != "0" ]; then
"$RUNNER" auth ensure >/dev/null 2>&1 || true
fi
```
This opens the user's default browser only when there is no valid local sign-in
yet, and reuses a saved sign-in silently. For CI/headless checks only, set
`HEPHAESTUS_AUTH_AUTOPOPUP=0` and skip this step.
## 3. Staff from owner Cloud only
In an MCP-capable host, author the complete redacted WorkOrder, then call the
actual local Core tools in this order:
```text
workforce.search_candidates(sourceScope="cloud")
workforce.validate_selection(workOrder=..., selection=...)
workforce.prepare_execution(workOrder=..., selection=..., federatedSelection=..., projectDir=..., goalId=activeGoalId?)
workforce.validate_execution_receipt(receipt=..., executionPlan=..., toolInventory=...)
```
The host LLM authors the final Selection. If the deployed owner-Cloud Workforce
source contract is absent, report `source_not_supported`; do not silently query
public Hub or legacy cargo search. A shell without an active host LLM can only
report that orchestration is required.
The default search response is a projected menu. Preserve its Cloud source
receipt and `selectionSessionId`, but do not echo it as a complete
`federationResult`; Core resolves the full pinned result by session. Receipt
validation is local and read-only and cannot create execution evidence.
## 4. Act on the typed result (`scope: "cloud"`)
Preserve the Cloud source receipt, source selection session, candidate-set
digest, release id, package hash, and content digest. Validate and prepare in
local Core; never send the federated wrapper back to remote validation.
## 5. Hard rules
- Never report public marketplace agents or local private/plugin cards as if
they were the user's own cloud packages.
- Deterministic Core validates governance and immutable pins but never chooses
the roster. The active host LLM chooses from content evidence.
- For actual tool execution, follow the host runtime's safety and permission
model. Report the exact source receipt plus `selectionReceiptId`,
`preparationReceiptId`, and validated execution receipt status when present.From agentlas-ai/Agentlas-OS, Apache-2.0.
More from agentlas-ai/Agentlas-OS
- 0.699score
runtime-adapters
agentlas-ai
Use when creating Codex, Claude Code, Antigravity, Cursor, or AGENTS.md runtime adapters from one canonical agent core.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
hephaestus-graph
agentlas-ai
Use when the user types /hep-graph or /agentlas-graph, or asks to create, list, inspect, or request a run of an Agentlas automation graph.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
team-builder-packaging
agentlas-ai
Use when generating or auditing a multi-role agent team package with orchestrator, PM Soul, Memory Curator, Policy Gate, workers, eval, QA, handoffs, and…
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
skill-lifecycle-promotion
agentlas-ai
Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill…
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
agentlas-auto-activation
agentlas-ai
Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
runtime-adapters
agentlas-ai
Use when creating Codex, Claude Code, Gemini CLI, Cursor, or AGENTS.md runtime adapters from one canonical agent core.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
hephaestus-network
agentlas-ai
Use when the user types $hephaestus-network, /hep-network, or /agentlas-network, mentions @Hephaestus, or asks Agentlas to staff a durable goal from…
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
agentlas-core-engine-meta-agent
agentlas-ai
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into Agentlas architecture.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
hephaestus-storm
agentlas-ai
Use when the user types /hep-storm or /agentlas-storm, says @Hephaestus storm <goal>, or asks to drive a goal to verified completion through a force-robust…
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
memory-ticketing
agentlas-ai
Use when adding Memory Events, Memory Tickets, memory-map.json, vault-references.json, PM Soul memory ownership, or Memory Curator routing to an agent repo.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
agentlas-one
agentlas-ai
Use when the user types /agentlas-one on|off, /agentlas one on|off, or asks to enable/disable the persistent personal agent mode.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
agent-team-design
agentlas-ai
Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role.
SkillAFreshness: A★ 1.6KClaude Code +9
Signals
- Stars
- 1,582
- Forks
- 107
- Open issues
- 1
- Last commit (this folder)
- Sep 13, 2026 (1 month ago)
- Last release
- Oct 24, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/agentlas-ai/Agentlas-OS
- Website
- agentlas.cloud
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.365score
hephaestus-cloud
agentlas-ai
Use when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.365score
hephaestus-cloud
agentlas-ai
Use when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.365score
hephaestus-cloud
agentlas-ai
Use when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.365score
hephaestus-cloud
agentlas-ai
Use when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only.
SkillAFreshness: A★ 1.6KClaude Code +9
More from agentlas-ai
- 0.699score
hephaestus-storm
agentlas-ai
Use when the user types /hep-storm or /agentlas-storm, says @Hephaestus storm <goal>, or asks to drive a goal to verified completion through a force-robust…
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
hephaestus-network
agentlas-ai
Use when the user types $hephaestus-network, /hep-network, or /agentlas-network, mentions @Hephaestus, or asks Agentlas to staff a durable goal from…
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
agentlas-one
agentlas-ai
Use when the user types /agentlas-one on|off, /agentlas one on|off, or asks to enable/disable the persistent personal agent mode.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
agentlas-core-engine-meta-agent
agentlas-ai
Use when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into Agentlas architecture.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
agentlas-auto-activation
agentlas-ai
Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.
SkillAFreshness: A★ 1.6KClaude Code +9 - 0.699score
memory-ticketing
agentlas-ai
Use when adding Memory Events, Memory Tickets, memory-map.json, vault-references.json, PM Soul memory ownership, or Memory Curator routing to an agent repo.
SkillAFreshness: A★ 1.6KClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get hephaestus-cloud running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
hephaestus-cloud skill. Agent Mart. https://agentmart.dev/skills/agentlas-ai-hephaestus-cloud (last updated 2026-10-24)