hep-graph
SkillSearchBuild an Agentlas automation by describing it, list saved ones, or request a run.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the hep-graph skill
What this skill tells your AI
The instructions your AI receives, as published by agentlas-ai/agentlas-os in kimi/skills/hep-graph/SKILL.md and read by ahel’s review.
Update fallback: 자동 업데이트가 안 되면 hephaestus update를 한 번 실행하세요. 업데이트하지 않아도 현재 버전 명령은 그대로 동작합니다.
Hephaestus Graph
Saved automation graphs live in the local Agentlas database, shared with the desktop app. This command reads that database and can ask for a graph to run.
Raw arguments: everything the user typed after /skill:hep-graph.
What this command can and cannot do. It lists graphs, shows what a graph does, and requests a run. It does not execute the graph — the desktop app is what runs it. Say that plainly when you report back; do not tell the user their automation ran.
Locate the CLI
CLI=""
for candidate in \
"$(command -v agentlas 2>/dev/null)" \
"$HOME/.agentlas/runtime/current/bin/agentlas" \
"./bin/agentlas"
do
if [ -n "$candidate" ] && [ -x "$candidate" ]; then CLI="$candidate"; break; fi
done
[ -n "$CLI" ] || { echo "Agentlas CLI not found. Install it with: npm i -g agentlas" >&2; exit 1; }
New — build one by talking it through
With new <what they want> (or when the user describes an automation they want and no
saved graph matches), run the CLI's interview. It asks the user things it must not decide
for them — when it runs, whether a step goes outside, how many times a repeat may run.
The CLI reads answers from stdin, one per line. So: run it once with no answers to see the first questions, relay them to the user in their own words, get their answers, then run it again with every answer so far:
printf '%s\n' "<answer 1>" "<answer 2>" "y" | "$CLI" graph new "<what they want>"
Rules that matter here:
- Never invent an answer. If the user has not said when it runs, ask them — do not pick a time. The whole point of the interview is that these come from the person.
- If the user does not know or says you decide, pass that through verbatim
(
알아서 해주세요/you decide). The CLI then takes the most conservative option and says what it chose. Do not decide on their behalf yourself. - The last line must be
yto save. Until then nothing is written. - It is created switched off. Say so, and relay the two commands the CLI prints
(
graph showto look it over,automation onto turn it on). - If the CLI stops with "answer 를 받지 못해 멈췄습니다" / "Stopped without an answer to", it needed one more answer. Relay that exact question to the user and run again with the fuller list. Do not retry with a guess.
List
With no arguments, or with list:
"$CLI" graph list
Report each graph with its trigger kind (schedule or input), step count, and whether it is on. If nothing is saved, say so and point at the desktop app's Graph page — do not invent graphs.
Show
With show <name>:
"$CLI" graph show "<name>"
The output is a tree, not a list — indentation is the wiring. Relay it as
wiring, because on a surface with no canvas this is the only way the user can
see where a graph branches. Four marks must survive into your summary:
a step that changes something outside, a step that asks first,
a branch's [yes]/[no] sides, and a ↩ back to … line (a repeat).
If the graph starts from a value the user provides, the output says so —
carry that into the summary too.
Run
With run <name>, the user's direct command is the authority to request that
run. Do not ask for a second yes: graph approval is captured when the graph is
created, and adding another confirmation here makes an approved automation
needlessly stall.
- Run
"$CLI" graph show "<name>"first and report what the graph does, including any step that changes something outside. - If the graph starts from a value (
graph showsays so), require that value from the user in their own words. This is missing execution input, not an approval prompt. Do not invent one or reuse an example from the graph. - Request the run immediately once all required input is present:
"$CLI" graph run "<name>" -y
If the graph starts from a value, pass it — without it the CLI refuses, because a graph run with a blank value silently produces something else:
"$CLI" graph run "<name>" -y --input "<the value the user gave>"
Report exactly what the CLI reported: the run was requested, the desktop app picks it up within a minute while open, and a closed app runs it on next open. If the CLI refuses because the automation is switched off, relay that refusal and its reason rather than retrying.
Failure
If the CLI exits non-zero, show its message verbatim and stop. Do not substitute a guess about why, and do not retry a run request.
Signals
- GitHub stars
- 1k
- Forks
- 103
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
hep-graph- Source
- github.com/agentlas-ai/agentlas-os